Discover Dialogues

The role of HR is evolving faster than ever before, and AI is at the center of that transformation. In this exclusive TechDogs Discover Dialogues HR Roundtable, we bring together three senior HR leaders to discuss how organizations can balance people, performance, technology, and the future of work in an AI-driven world. Featuring: Nancy Hauge Chief People Experience Officer, Automation Anywhere Lisa Sherwell Chief People Officer, SUSE Arpit Shelat Director - Human Resources, Genesys India As AI reshapes how businesses operate, HR leaders are being asked bigger questions than ever before: How do you stay people-first while driving business performance? Can AI make HR more human? How should companies build future-ready workforces? Is work-life balance outdated? What do employees expect from modern workplaces today? This conversation explores how HR is moving beyond traditional functions and becoming one of the most strategic drivers of business transformation. From AI-powered employee experiences to internal mobility, hybrid roles, workforce personalization, and leadership transformation, this roundtable dives deep into what the future of HR really looks like. Whether you're a CHRO, HR leader, business executive, founder, talent leader, or someone curious about the future of work, this episode is packed with actionable insights. Key Takeaways: ✔ Why people-first companies often outperform others ✔ How AI is improving employee experience ✔ Why HR must become more strategic ✔ The future of workforce planning✔ Why internal mobility matters more than ever ✔ How Gen Z is reshaping workplace expectations ✔ Why work-life balance may need redefinition Subscribe to TechDogs for more conversations with global leaders shaping the future of business, technology, leadership, and innovation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

AI is changing how products are built, how teams operate, and where bottlenecks show up inside organizations. In this episode of TechDogs Discover Dialogues, Nikhil Sonawane speaks with Justin Stottlemyer from Intuit about scaling AI responsibly, getting data AI ready, integrating agentic systems, and building the evaluation strategies that make non deterministic systems dependable in production. Justin shares lessons from decades of building at scale and explains why today’s AI shift is not just another digital transformation wave. It is a deeper disruption that forces new thinking around architecture, collaboration, governance, and leadership. In this episode, we cover:• Justin’s journey across early internet and commerce platforms and what it taught him about availability and scaling • Why thinking in 1000x forces better architectural decisions than 10x planning • What changes when LLMs, agents, and multimodal systems enter the production stack • Data readiness for AI and why access, security, and structure matter more than ever • The real architectural challenge: coordination overhead across teams, not just tools • FinTech AI: combining non deterministic reasoning with deterministic APIs for accuracy and trust • Human in the loop and validation strategies to reduce risk in AI powered workflows • Build vs buy in AI: what to develop internally and what to leverage externally • Evals and the Agentic Development Lifecycle, and why evaluation strategy is now a core competency • Leadership for AI first organizations: gateway mindset with guardrails Key takeaways:• AI changes the pace of delivery, so leaders must measure where the next bottleneck is. • Data must be AI ready to unlock real value, without compromising security. • Non deterministic systems still need rigor, testing, and evaluation loops across the lifecycle. • The winners are teams that democratize access safely and invest in education and adoption. About the Guest:Justin Stottlemyer is a Distinguished Engineer at Intuit and part of the FinTech AI Center of Excellence, where he focuses on AI transformation, developer productivity, and building scalable foundations for agentic experiences. If you’re exploring enterprise AI, agentic workflows, FinTech innovation, developer productivity, eval strategy, or AI leadership, this episode is packed with practical insightsSubscribe for more conversations on AI, data, cloud, cybersecurity, and enterprise technology.

Core banking modernization is not about shiny new tech. It is about upgrading systems without breaking uptime, trust, or compliance. In this episode of TechDogs Discover Dialogues, Nikhil Sonawane speaks with Mike Stawchansky, EVP and CTO at Finastra, about practical modernization playbooks, AI in mission critical banking, and how to scale reliability across global engineering teams.Mike explains why modernization starts with measurement, why compliance needs to be built into the foundation, and why incremental change using the Strangler Fig approach beats big bang rewrites for core systems.We also discuss AI in banking, where it adds value today, why it should complement core systems rather than replace them, and why production automation still requires human checks and the four eyes principle.In this episode, we cover:• How to modernize legacy banking platforms without disruption by measuring what exists first • Why non-functional requirements must be explicit before migration or re-architecture • Compliance by design and how to make it difficult to do the wrong thing in production • Why big bang rewrites are risky for core banking and why Strangler Fig works better • Where to start modernization: user journey, adoption, and what actually improves customer outcomes • The modernization mistake many teams repeat: delaying tech debt until it becomes urgent • AI in mission critical banking: where it adds value, and why it cannot replace deterministic core systems • AI governance: where to draw the line on automation and why humans must stay in the loop • How global engineering teams stay aligned on reliability, delivery standards, and ownership • Reliability culture: breaking the “throw it over the wall” model across engineering, DevOps, and support • Leadership lessons for sustaining momentum during long transformation cyclesKey takeaways:• Measure first. Modernization should preserve or improve reliability, not reduce it. • Modernize incrementally. Strangler Fig reduces risk and builds trust through small wins. • AI complements core systems. Its probabilistic nature makes deterministic banking cores difficult to replace. • Keep checks in production. Treat AI like any engineer. Use validation and the four eyes principle. • Communication is the scaling factor. Clear, explicit communication and playback prevent misalignment in global teams. About the Guest:Mike Stawchansky is EVP and Chief Technology Officer at Finastra, where he leads technology strategy with a focus on product and infrastructure modernization and cloud transformations for mission critical financial services platforms. He brings deep experience across platform engineering, reliability, and large scale modernization, with a practical operating mindset focused on measurable baselines, shared accountability, and execution at scale.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane, Lead-Media Relations and Partnerships sits down with Gonçalo Borrêga, VP Product, AI & AppDev at OutSystems, to explore one of the biggest shifts happening in technology today, the rise of Agentic AI in enterprise software.Enterprise software has traditionally been built around stability, control, and reliability. But with AI entering the picture, that balance is rapidly evolving. As organizations move toward AI-first strategies, the question is no longer just how fast we can build software, but how intelligently we can evolve it without breaking systems.Gonçalo brings over two decades of experience across software engineering, product strategy, and enterprise innovation. In this conversation, he shares powerful insights on how AI is transforming not just development workflows, but the very nature of software systems, teams, and leadership.One of the most compelling ideas from this episode is simple yet powerful. AI is making speed a commodity.With AI accelerating code generation and lowering barriers to entry, the real challenge is no longer building software. It is building systems that can scale, adapt, and remain stable over time.In this episode, we cover:• How Agentic AI is reshaping enterprise software • Why speed is no longer a competitive advantage • The shift from developers to system thinkers • The role of abstraction, low-code, and AI-assisted development • AI agents as coworkers and even customers • Why governance and orchestration are becoming critical • How organizations can balance AI adoption with workforce concerns • Leadership lessons such as empathy, grit, and building for outcomes • Advice for founders building in the age of AIKey takeaway:The future of enterprise software is not just about AI. It is about how humans and AI collaborate. While AI accelerates execution, humans remain essential for defining intent, making decisions, and ensuring accountability.About the Guest:Gonçalo Borrêga is VP Product, AI & AppDev at OutSystems, where he leads innovation across AI, application development, and enterprise platforms. With a background spanning development, architecture, and product leadership, he is at the forefront of shaping AI-driven software ecosystems.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Digital transformation is no longer a technology problem. It is a strategy, execution, and alignment problem.In this episode of TechDogs Discover Dialogues, hosted by Nikhil Sonawane, Lead Media Relations and Partnerships invites Mehdi Sebti from ServiceNow to share why most AI and digital transformation initiatives fail and what enterprises must rethink to actually deliver value at scale.With nearly two decades of experience across global organizations like Toyota Tsusho (CFAO), Accenture, and ServiceNow, Mehdi brings a rare “three-prism” perspective as a customer, consultant, and platform advisor.This conversation goes beyond buzzwords and dives into the real challenges enterprises face when trying to scale AI, align stakeholders, and drive meaningful transformation.What You’ll Learn in This Episode:• Why “technology is global, but adoption is local” and why this matters more than ever• The hidden reasons why most AI transformation programs fail• Why financial ROI alone is no longer enough to justify transformation• How value means different things to CFOs, CIOs, COOs, and CEOs• The biggest mistake enterprises make when investing in customer experience• Why platform thinking is replacing use-case driven transformation• How to balance automation with human-in-the-loop governance• The complexity of scaling transformation across EMEA• How to align cross-functional teams using a “North Star” approachKey Insight: Most companies do not fail at digital transformation because of bad technology. They fail because of fragmented thinking, poor alignment, and lack of a unified strategy.Who Should Watch This:• CIOs, CTOs, and Chief Transformation Officers • Business leaders driving AI and automation initiatives • Enterprise architects and digital strategy leaders • Consultants and professionals in digital transformation • Anyone interested in the future of AI in businessAbout the Guest:Mehdi Sebti is a seasoned digital transformation leader with nearly two decades of experience spanning ERP systems, consulting, and enterprise strategy across global organizations such as Toyota Tsusho (CFAO), Accenture, and ServiceNow. Having worked across Europe, the US, and Africa, he brings a unique “three-prism” perspective shaped by his roles as a customer, consultant, and software advisor. Mehdi specializes in helping enterprises unlock real business value through AI, platform-led transformation, and strategic alignment, with a strong focus on bridging the gap between technology execution and human-centric adoption.Subscribe to TechDogs for more expert-led conversations on AI, enterprise tech, and digital transformation.If you found this valuable, do not forget to like, share, and comment your key takeaway.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In today’s fast-moving SaaS landscape, growth is often seen as the ultimate success metric. But what happens when companies scale faster than their ability to operate effectively?In this episode of Discover Dialogues by TechDogs, we sit down with Sachin Agrawal, Managing Director at Zoho UK, to explore one of the most overlooked challenges in modern SaaS: the gap between growth and operational maturity.With over two decades of experience across consulting, restructuring, entrepreneurship, and global leadership, Sachin brings a rare perspective shaped by real-world transformations, from the dot-com boom and bust to scaling a startup and leading Zoho’s UK expansion.What you’ll learn in this episode:• Why product-led growth works initially, but struggles at scale • The hidden risks when growth outpaces organizational readiness • How to identify market readiness signals before expansion • Why AI is no longer a differentiator in SaaS • What truly differentiates SaaS companies today: architecture, business model, and data control • The importance of operational maturity in scaling organizations • Leadership lessons on staying grounded in complexity and making better decisionsOne of the most powerful insights from this conversation:“Product-led growth gets you through the door… but operational maturity determines whether you can truly scale.”As SaaS companies grow, they often move from simple adoption to complex organizational integration—where systems, teams, and processes must evolve together. This episode breaks down why many businesses struggle at this stage and how to overcome it.Who should watch this?• SaaS founders and startup leaders • Product and growth leaders • Business operators scaling organizations • Enterprise decision-makers • Anyone interested in leadership, AI, and digital transformationAbout the guest:Sachin Agrawal is the Managing Director at Zoho UK, where he leads the company’s growth and market expansion in one of its key global regions. With a career spanning over two decades, he has worked across consulting, restructuring, entrepreneurship, and enterprise technology, gaining experience through major industry shifts including the global financial crisis. He is also the co-founder of ePoise Systems, an HR-tech startup that was later acquired by Zoho. His journey across India, the Middle East, Asia Pacific, and Europe has shaped his perspective on scaling businesses, operational maturity, and building sustainable organizations in complex and evolving markets.Subscribe to TechDogs for more conversations with leaders shaping the future of technology and business.If you found this valuable, don’t forget to like, share, and comment your biggest takeaway.#SaaS #Leadership #ProductLedGrowth #Zoho #TechPodcast #AI #StartupGrowth #BusinessStrategy #ScalingBusiness #DigitalTransformation #DiscoverDialogues🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

AI is no longer a future ambition. It is already embedded across enterprise workflows, platforms, and decision-making systems. While building AI pilots has become easier, scaling AI securely, responsibly, and effectively across the enterprise is where organizations face real challenges.In this episode of TechDogs Discover Dialogues, we bring together a panel of leading CTOs and technology experts to unpack what actually happens when AI moves from experimentation to production. Today’s roundtable is moderated by Vikramsinh Ghatge, Editor-in-chief and Sr. Marketing Director at TechDogs. The panellists on the show are:• Tal Lev-Ami, Co-Founder and CTO at Cloudinary• Gilles Baillet, Head of Technology at AND Digital• Keith McFarlane, Chief Technology Officer at Globality, Inc.• Markus Nispel, CTO EMEA, Head of AI Engineering at Extreme NetworksThe conversation explores why secure AI is not just about protection, but also about governance, ownership, and trust.From infrastructure and developer platforms to enterprise AI applications, each panellist brings a unique perspective shaped by real-world deployments. This discussion moves beyond the hype and focuses on the practical realities of scaling AI in complex enterprise environments.What you will learn in this episode:• Why AI security begins with data, not just models • What breaks first when AI scales beyond pilots • The hidden risks of autonomous agents and AI-driven workflows • Why governance, auditability, and explainability are essential • How organizations can move from AI excitement to AI discipline • The role of people, culture, and leadership in scaling AI • Why secure by design is becoming a business imperative One of the key takeaways from this discussion is that AI does not introduce entirely new risks. It amplifies existing ones. Poor data quality, weak governance, and unclear ownership become more problematic when AI is layered on top.The panel also highlights how AI is reshaping not only technology stacks but also entire operating models. As AI accelerates certain functions, new bottlenecks appear. This forces organizations to rethink workflows, roles, and decision-making structures.Another important theme is the need for a risk-based approach. Not all AI use cases carry the same level of risk, and organizations must design guardrails accordingly. The goal is to balance speed, innovation, and control.Who should watch this?This conversation is relevant for:• CIOs, CTOs, and technology leaders • CISOs and security professionals • AI and data leaders • Digital transformation and innovation teams • Enterprise architects and product leaders Whether you are starting your AI journey or scaling existing initiatives, this episode offers practical insights to help you navigate enterprise AI adoption.Subscribe for more conversations with global technology leaders.#ArtificialIntelligence #EnterpriseAI #AISecurity #TechLeadership #DigitalTransformation #AIGovernance #FutureOfWork🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

HR is no longer just a support function. It is becoming a strategic driver of enterprise transformation.But here is the real question:Are organizations actually seeing results from their HR transformation efforts, or just going live with new systems?In this episode of Discover Dialogues, Vikram sits down with Nagesh Polu, Director, HXM at YASH Technologies, to break down what real HR transformation looks like in today’s AI-driven world.What You’ll Learn in This Episode:Why HR Transformation Often FailsMost organizations celebrate go-live as success.But as Nagesh explains:“Success is a behavioral change, not a go-live event.”Learn why adoption, not implementation, is the real metric that matters.AI in HR: What Actually WorksAI is everywhere, but what is real versus hype?Nagesh breaks it down:• Practical use cases such as recruitment, self-service, and insights • Why AI cannot fix broken processes • The risk of scaling bad data faster “AI is a speed booster. If you're going in the wrong direction, you'll get there faster.”The Power of IntegrationHR systems are no longer isolated.When connected with finance, operations, and planning:• HR data becomes business intelligence • Workforce decisions become data-drivenWho Should Watch This:• CHROs and HR Leaders • CIOs and IT Leaders • HR Transformation Professionals • SAP SuccessFactors and HRIS Teams • Anyone working in Digital HR and Workforce StrategyKey TakeawayHR transformation is not about technology.It is about:• Clean foundations • Connected systems • Clear outcomes • And most importantly, human experienceAbout the Guest :Nagesh Polu is the Director of HXM at YASH Technologies, with over a decade of experience in HR technology transformation and nearly two decades in enterprise technology. He specializes in helping organizations modernize their HR ecosystems by aligning people, processes, and technology, with a strong focus on SAP SuccessFactors and integrated enterprise platforms. Having worked across industries and geographies, Nagesh brings a practical, business-first approach to digital HR, enabling organizations to move beyond system implementations and create meaningful, human-centric workforce experiences.The episode also dives into the evolving role of HR leaders. Today’s CHROs are expected to balance people strategy, technology, and business transformation. Nagesh highlights the importance of defining outcomes first—before selecting tools—and ensuring that HR transformation is aligned with broader business goals.For organizations just beginning their transformation journey, Nagesh shares a clear framework: define the problem, establish ownership, clean your data, standardize processes, and build a strong change management plan. Only then should technology come into the picture.Finally, the conversation offers valuable advice for professionals entering the HR technology space. In an era where AI can automate many technical tasks, Nagesh emphasizes the importance of understanding business processes and thinking from a business perspective.This episode is packed with insights for HR leaders, CIOs, and transformation professionals looking to build smarter, more connected, and human-centered organizations.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Artificial Intelligence, automation, and digital transformation are reshaping how enterprises operate. But despite massive investments in technology, many organizations still struggle to turn these tools into real business outcomes.In this episode of TechDogs Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Cheif speaks with Hari Sethalapathy, Co-founder and CEO of Winfo Solutions, about the evolution of enterprise technology and what it truly takes to drive successful digital transformation in the AI era.With more than 25 years of experience in enterprise consulting and technology transformation, Hari has worked with organizations across industries helping them modernize legacy systems, implement ERP platforms, and leverage automation and AI to improve operational efficiency.One of the key ideas discussed in this episode is the “value gap” in enterprise technology. While companies spend millions implementing new systems, the real challenge lies in ensuring that these technologies deliver measurable business impact.Hari explains how enterprises today are shifting from traditional implementation models to outcome-driven transformation strategies, where success is defined not by project completion but by tangible business results.Throughout the conversation, Vikram and Hari explore how the expectations from technology partners have changed dramatically in recent years. Organizations now expect greater agility, faster delivery cycles, and measurable outcomes, rather than long implementation projects that take years to complete.Another major focus of the discussion is the evolution of automation.What started with simple process automation and Excel macros has now evolved into AI-powered intelligent agents capable of making decisions, analyzing information, and improving enterprise workflows. These AI systems are increasingly embedded within enterprise platforms, helping businesses automate tasks such as support requests, expense management, and operational workflows.Hari highlights how employees today are increasingly adapting to new technologies, learning new skills, and embracing AI as an opportunity to evolve their roles rather than resist change.The episode also explores:• How enterprises should evaluate the right technology partners • Why outcome-driven consulting is replacing traditional project models • How intelligent automation and AI agents are changing enterprise workflows • What the future of enterprise AI and digital transformation might look likeTo wrap things up, Vikram puts Hari through a fun rapid-fire round, where he shares insights into his personal habits, leadership philosophy, and what keeps him motivated as a founder in the AI era.If you're interested in enterprise AI, digital transformation, automation, or the future of enterprise technology, this conversation offers valuable perspectives from someone who has spent decades working at the intersection of business and technology.About the GuestHari Sethalapathy is the Co-founder and CEO of Winfo Solutions, with over 25 years of experience in enterprise consulting and digital transformation. A Chartered Accountant by qualification, he has spent much of his career helping global organizations modernize legacy systems, implement ERP solutions, and drive innovation through automation, cloud technologies, and AI-powered platforms. Through his work with enterprises across industries, Hari focuses on bridging the gap between technology implementation and real business outcomes, enabling organizations to maximize the value of their digital transformation investments.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane speaks with Nadir Izrael, Co-founder and Chief Technology Officer (CTO) at Armis Security, on how cybersecurity must evolve in an era of hyper-connected environments, AI-powered threats, and growing business risk. Drawing from his experience across military cyber systems, enterprise engineering, and startup leadership, Nadir explains why visibility, context, and automation are now core to modern cyber defense.From Early Programming to Founding a Cybersecurity Platform:Nadir’s journey into cybersecurity began during the late-1990s tech boom, where early programming sparked his interest in large-scale systems. He later spent several years building real-time, high-throughput cybersecurity systems during his mandatory military service in Israel, shaping his understanding of resilience and operational risk.After transitioning into the private sector, Nadir joined Google as a software engineer, working on complex distributed systems. Despite advances in enterprise infrastructure, one challenge remained constant—the inability of organizations to clearly see and understand their own environments. This insight led to the founding of Armis Security, built to help enterprises understand what exists inside their environments and what those assets mean from a risk perspective.The Biggest Cybersecurity Blind Spot: Your Own Environment:A central theme of the conversation is that the largest cybersecurity blind spot is internal. Enterprises now operate across cloud platforms, IT systems, operational technology, IoT devices, and unmanaged endpoints—often without a complete picture of what is connected.Nadir explains that security teams cannot protect what they cannot see, and that asset visibility must go beyond inventories to include relationships and context. Armis acts as a “map” of the enterprise, helping organizations understand how assets interact and where real risk originates.Visibility Alone Isn’t Enough: Context and Prioritization:Knowing what assets exist is only the first step. Nadir emphasizes that security teams are overwhelmed not by a lack of data, but by unprioritized data. The goal isn’t to generate more alerts, but to identify the few actions that meaningfully reduce risk. Context defines business impact, helping teams decide what to fix first and why it matters.AI as a Double-Edged Sword in Cybersecurity:AI is rapidly reshaping the security landscape. Attackers now use AI-driven systems that adapt in real time and exploit weaknesses faster than human teams can respond. Nadir explains that human-only defense models no longer scale. While organizations may hesitate to trust automation, defensive AI must be empowered to take controlled action—or defenders will always lag behind attackers.Human and AI Collaboration in Cyber Defense:Rather than replacing people, AI enables security teams to operate at scale. With a global shortage of cybersecurity talent, AI helps remove repetitive work and amplify human effectiveness, while strategic judgment remains firmly human-led. This collaboration allows organizations to cover larger attack surfaces and respond faster to emerging threats.About the Guest:Nadir Izrael is the Co-founder and CTO of Armis Security, with experience spanning military cyber systems, enterprise engineering, and AI-driven defense platforms. He focuses on helping organizations gain visibility, quantify risk, and secure complex digital environments at scale.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Cyber threats are growing exponentially—how prepared are we for what’s coming next? In this episode of Discover Dialogues, Vikramsinh Ghatge speaks with Dr. Sanjay Katkar, Co-Founder & Joint Managing Director of Quick Heal Technologies and Seqrite, to explore the dynamic world of cybersecurity. With over 30 years of experience in the field, Dr. Katkar shares insights into how the cybersecurity landscape has evolved—from virus protection in the 90s to AI-driven security solutions protecting enterprises today. As businesses face increasingly sophisticated cyber threats, Dr. Katkar discusses how AI, Zero Trust, and ransomware are reshaping the industry. From the early days of Quick Heal to the launch of Seqrite, Dr. Katkar explains how their enterprise-focused solutions are tailored to meet the unique needs of businesses in a hyperconnected world. Key Topics Covered in This Episode: · The founding of Quick Heal Technologies and the challenges of building cybersecurity solutions in the early days of the internet · Seqrite’s evolution from endpoint protection to AI-powered enterprise security solutions · The critical need for Zero Trust frameworks in protecting modern businesses · The role of AI and machine learning in detecting and preventing attacks · Real-world examples of cybersecurity gaps in Indian enterprises and how to address them · Lessons learned from 30 years of cybersecurity and how businesses can stay prepared for the future of cyber threats🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub Dr. Katkar’s insights are invaluable for anyone in business leadership, IT, or simply interested in securing digital ecosystems for the future. Tune in now and get ready to learn how AI, Zero Trust, and emerging technologies are changing the world of cybersecurity. About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to our newsletter: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Building Reliable AI-Powered Visual Experiences: Architecture, Scale, and TrustIn this episode of TechDogs Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and EIC sits down with Tal Lev-Ami, Co-Founder and CTO of Cloudinary, to explore how visual media has evolved from a design concern into mission-critical infrastructure—and why reliability, not novelty, determines whether AI succeeds in production.Tal reflects on his early journey from programming as a child to academic research in program analysis, and eventually to building Cloudinary as the invisible backbone behind millions of visual experiences. The conversation examines how AI has long been embedded in visual workflows, from intelligent cropping to background manipulation, and why generative AI introduces new risks that brands must actively architect around.A key theme throughout the discussion is trust. Tal explains why uncontrolled creativity can be dangerous at scale, how different personas - developers versus marketers - require fundamentally different AI workflows, and why understanding risk tolerance is more important than chasing the latest AI capability. The episode also explores composable architectures, agentic systems, developer ecosystems, and what it truly takes to move from experimentation to resilient, production-grade AI pipelines.Why This Conversation Matters Right Now:• AI Beyond Demos: The gap between experimentation and production remains wide, especially in visual AI• Reliability Over Novelty: Brands cannot afford unpredictable outcomes in customer-facing media• Architecture Decides Outcomes: Risk-aware workflows determine whether AI scales safely• Developers Still Matter: AI changes how developers work, not whether they are needed.Who Should Watch:• CTOs and engineering leaders building AI-enabled platforms• Product and architecture teams deploying visual AI at scale• Marketing and brand leaders balancing creativity with reliability• Developers working on media pipelines, DAMs, and APIs• Enterprise teams navigating AI adoption beyond proof-of-conceptAbout the Guest:Tal Lev-Ami is the Co-Founder and CTO of Cloudinary, where he leads the platform’s technical architecture and long-term innovation strategy. In this episode, he shares why AI reliability matters more than raw capability, how risk tolerance should shape AI workflows, and what it takes to build media infrastructure that works consistently at global scale.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Building Real-World AI Solutions with Varun Srinivas: From Vibe Coding to Scalable SystemsWhat does it take to scale AI beyond the buzzwords?In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Varun Srinivas, Founder & CEO of Therix.ai and Co-Founder of Coditas, to get into the real work behind AI adoption, team leadership, and building systems that last. With over a decade of experience in software craftsmanship, clean code, and now enterprise-ready generative AI, Varun brings clarity and candor to the conversation.This is more than a podcast about tools and trends—it’s a practical look at what actually breaks when organizations try to scale AI, and what can be done differently.In this episode Varun covers:• How to bridge the gap between prototypes and production-ready AI• The role of “vibe coding” and why it needs testing and review• Why clean code still matters in generative AI development• How to embed AI into org culture without fear or resistance• The critical role of feedback, observability, and user experience• Why static AI strategies expire in days—not years🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubVarun explains why prototypes that wow in meetings often fail in deployment, and how leadership needs to move away from fear-based AI strategies. “Celebrate small wins,” he says. “If a dev saves 30 minutes, make it a moment. That’s how transformation takes root.”He also dives into the psychological shift that many dev teams face when AI is introduced—and how to guide rather than override your team’s instincts. His advice for scaling: build a culture of experimentation, not pressure.Whether you’re a CTO, product head, engineering lead, or startup founder—this conversation will shift how you approach AI strategy, software delivery, and technical culture.Whether you're building an AI product, leading an engineering team, or just trying to make sense of GenAI’s business potential—this one’s for you.About the Guest:Varun Srinivas is the Founder & CEO of Therix.ai and Co-Founder at Coditas, where he leads Generative AI Services. With over a decade in software craftsmanship, Varun blends clean code principles with modern AI execution. He’s helped scale products for 200+ companies, bridging the gap between prototypes and production. Whether it’s vibe coding, team culture, or engineering at scale—he builds AI that actually ships.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. Hosted by Vikramsinh Ghatge, the show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next. From AI and cybersecurity to leadership and product thinking—every episode is a deep dive into how bold ideas get built.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

How do you transform ERP from a rigid system into a human-centered, business-enabling platform?Enterprise transformation isn’t just about deploying software — it’s about aligning people, process, and purpose.In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief, at TechDogs, talks to Jayalakshmi Nagarajan, Chief Operating Officer at Aakit Technologies Pvt. Ltd., to understand how her team delivers high-impact ERP and SAP-led digital transformation across complex industries like manufacturing, real estate, and wholesale.With over 25 years of experience, Jaya leads global strategy, operations, and delivery at Aakit — a certified SAP Cloud Partner with 100+ successful implementations. She shares how Aakit approaches transformation through Design Thinking, agile delivery models, and long-term co-innovation partnerships.Whether it’s S/4HANA cloud migration or driving stakeholder adoption, Jaya shares the playbook for turning tech implementation into business transformation. She covers everything from user-centric workshops and agile delivery sprints to hypercare strategies and low-code enablement.Key Themes in This Episode:• What “intelligent adoption” means in the context of SAP• Why Design Thinking is critical for user buy-in and long-term value• How Aakit accelerates time-to-value with industry templates• Strategies to reduce ERP rollout friction and post-go-live failures• What makes Aakit’s delivery model stand out in India’s crowded ERP marketWho Should Watch?• CIOs & SAP Heads in mid-to-large enterprises• CXOs in manufacturing and real estate• IT leaders looking to modernize ERP systems• Anyone exploring S/4HANA or SAP Cloud transformation in IndiaThis isn’t just another SAP success story — it’s a roadmap for building ERP systems that last, led by someone who’s been doing it for over two decades.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Aakit:Aakit Technologies is a certified SAP Cloud Partner and one of India’s most experienced ERP consultancies, having completed 100+ SAP implementations and 200+ client engagements. With core expertise in manufacturing, real estate, wholesale, and infrastructure, Aakit offers industry-specific SAP solutions that go beyond standard software delivery. Their success lies in enabling clients to move from fragmented legacy systems to integrated, intelligent, and scalable digital platforms.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

As AI continues to reshape industries, the question becomes: How do we lead our teams through this revolution while keeping innovation, optimization, and customer needs at the center? In this episode of Discover Dialogues, Andy Boyd, Chief Product Officer at Appfire, offers valuable insights into what it means to build AI-first products, scale teams, and lead organizations through rapid technological growth.Andy’s journey from pioneering AI initiatives at IBM Watson to leading product development at Appfire offers unique perspectives on navigating the evolving landscape of AI-driven innovation and product-first strategies.In this conversation, Andy explains how AI is not just a tool, but an integral part of building products that solve real customer problems, from visionaries to pragmatists.Throughout this episode, Andy discusses:• AI-first product strategies that drive growth in today’s fast-paced tech landscape.• The importance of building teams ahead of time to scale successfully and avoid bottlenecks during periods of rapid growth.• How to balance innovation with optimization to serve both new and existing customers across diverse ecosystems.• Key lessons from his experience working at IBM Watson and now at Appfire, and how those insights shape his leadership and product strategy.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAs businesses increasingly adopt AI, it’s crucial for product leaders to think beyond just implementing technology. This episode provides actionable strategies for integrating AI in a way that drives long-term transformation, optimizes workflows, and empowers teams to focus on what matters most — solving customer problems. Andy’s leadership journey offers valuable takeaways for anyone in product management, leadership, or AI implementation.Don’t miss out on this conversation that’s packed with insights on AI integration, scaling products, and leading high-performing teams in today’s ever-evolving tech environment.🎧 Tune in every Friday for more insights on leadership, innovation, and technology transformation from some of the brightest minds in the industry.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to our newsletter: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What if your enterprise platform could do more than automate tasks—what if it could reason? In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor in Chief at TechDogs sits down with Keith McFarlane, Chief Technology Officer at Globality, to break down how he’s building AI-native platforms that embed decision-making, planning, and trust at their core.Keith shares a rare combination of deep technical clarity and executive-level foresight. From building trust-first LLM systems to teaching AI to interpret human intent, he walks us through the frameworks, team culture, and architectural thinking that power one of the most advanced sourcing platforms in the world.We also explore the psychology of enterprise adoption, why clean data matters more than fancy tools, and how Globality empowers teams to scale AI safely and purposefully.What you’ll learn in this episode:• How agentic AI frameworks are changing enterprise software• What “AI-native transformation” actually looks like from the inside• Where most CTOs go wrong with AI implementation• Keith’s philosophy on build vs. buy decisions• The hidden leadership layer behind every great engineering system🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubFrom designing AI that understands intent to crafting frameworks that maintain transparency and trust, Keith shares how his team integrates LLMs with sourcing logic, user context, and enterprise compliance. We also dive into his leadership style, build-vs-buy decisions, and how Globality developed its own internal systems when off-the-shelf tools fell short.Whether you're scaling AI, leading a product team, or rethinking how your platform handles complexity, Keith’s insights offer a practical blueprint for building smarter systems.This isn’t just about AI. It’s about how leaders think, structure, and scale smarter tech.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to our newsletter: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of Discover Dialogues, Nikhil Sonawane, our media relations lead at TechDogs sits down with Christopher Reed, CTO AMER at Omnissa, to explore the future of digital work, the intersection of employee experience and customer experience, and why the most secure systems can also deliver the best user experiences.With more than two decades of experience across VMware, Broadcom, and Sigma Solutions, Christopher has seen how digital workplaces evolve—and how security, usability, and leadership shape the next generation of work. Guided by his personal mission “to help people and enhance life through technology,” he breaks down how End User Computing (EUC) is transforming industries from healthcare to finance, and why empowering employees digitally is the fastest route to improving customer satisfaction.What you’ll learn in this episode:• How employee experience directly impacts customer outcomes• Why companies must rethink the divide between security and usability• The role of Zero Trust and passwordless systems in building trust, not friction• Why EUC is the “quiet engine” behind every industry—from hospitals to airlines• Leadership lessons rooted in empathy, service, and human connection• How to align technical execution with business vision for measurable outcomesChristopher also believes real leadership is service, and that technology should make people’s lives easier, not harder.Watch this if you’re:• A CIO, CTO, or IT Leader rethinking digital work strategies• A professional exploring EUC, cybersecurity, or hybrid work trends• A leader interested in human-centered technology and culture transformation🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Christopher Reed:Christopher Reed is the Chief Technology Officer (CTO) for the Americas at Omnissa, where he leads strategy and innovation for the company’s secure digital work platform. With over two decades of experience across VMware, Broadcom, and Sigma Solutions, Christopher has earned recognition as an award-winning technologist, thought leader, and mentor in End User Computing (EUC) and digital transformation. Guided by his personal mission to help people and enhance life through technology, he brings a uniquely human perspective to the world of IT—balancing security, usability, and experience to redefine how people connect with their digital workplaces.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Agents, Architecture, and AI at Scale: Markus Nispel on Shaping the Future of Networking.In this edition of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor in Chief at Techdogs sits down with Markus Nispel, CTO EMEA and Head of AI Engineering at Extreme Networks, to unpack the real stories behind innovation, transformation, and what’s coming next.What You'll Learn in This Episode:• Why AI in networking is moving beyond automation into intelligent, multi-agent systems• Markus’s unique “Outcome First, Form Follows Function” framework for building scalable AI• How to align team structures, data pipelines, and engineering culture for AI readiness• Why upskilling teams matters more than upgrading infrastructure• The architecture behind Extreme Networks’ Platform ONE and how it handles millions of endpoints• The predicted timeline for multi-agent system adoption in enterprises (hint: it’s sooner than you think)• How trust, transparency, and explainability drive real AI adoption — not hype• What separates truly innovative CTOs from trend-chasers• Leadership lessons from decades of transformation and M&A integration🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Markus Nispel:Markus Nispel is the CTO for EMEA at Extreme Networks, where he also leads AI Engineering and the Office of the CTO. He’s a strategic tech leader with a 30+ year career spanning mobile communications, networking, and AI. Markus began his career in cellular and GSM systems before transitioning to enterprise networking, where he led solution architecture, software strategy, and eventually large-scale platform development. He has been instrumental in integrating five major acquisitions into Extreme’s software and automation portfolio.Markus is known for championing the shift from automation to intelligence — advocating for architectures that combine traditional software engineering with advanced AI/ML. He leads the development of Extreme’s Platform ONE and is a prominent voice on building transparent, explainable systems that enterprise users can trust.In addition to his role at Extreme, Markus serves as an Advisory Board Member at the SCION Association, contributing to the development of secure, next-generation internet architectures.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.At Discover Dialogues, we bring you deep dives with CTOs, CIOs, AI engineers, and product leaders shaping the future of enterprise tech. Whether it’s AI, cloud, cybersecurity, or digital transformation, we go beyond buzzwords and into real strategy.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane speaks with Vijay Jaswal, Chief Technology Officer (CTO) at IFS, about how asset intelligence is reshaping industries and how companies can use AI, IoT, and predictive maintenance to enhance the value and reliability of their assets. With over 25 years of experience, Vijay discusses how organizations can leverage cutting-edge technologies to optimize their asset management processes, reduce downtime, and drive profitability.Key Insights:• Asset intelligence is no longer just a tool for monitoring; it's a strategic enabler.• AI and IoT play a significant role in improving asset performance and extending their lifecycle.From Process Automation to Asset Intelligence LeadershipVijay’s career began in process automation, where he focused on automating business workflows. Over time, his role expanded to include application integration and API management, providing the foundation for his leadership in asset intelligence and IoT today.Today, as the CTO of IFS, Vijay leads digital transformation initiatives that help businesses unlock value and become more competitive in asset-heavy industries. He emphasizes that while the technology has evolved, the ultimate goal remains to streamline processes and optimize asset performance.Asset intelligence is about more than just tracking physical assets; it’s about optimizing their performance, ensuring reliability, and enhancing overall business value.• Industry Focus: IFS focuses on industries that rely heavily on assets, such as utilities, manufacturing, and aviation.• Strategic Value: For asset-heavy industries, well-maintained assets are key to customer satisfaction and long-term profitability.• Real-World Examples: Vijay explains how industries like oil & gas, telecom, and manufacturing depend on assets such as wind turbines, 5G towers, and production machinery to ensure seamless operations.By connecting IoT devices to AI systems, businesses can gain deep insights into asset health, allowing them to make data-driven decisions that reduce downtime and enhance operational efficiency.As IoT devices proliferate, cybersecurity becomes a major concern. Vijay emphasizes the need for robust cybersecurity measures to protect critical infrastructure from cyber threats.• Increased Attack Surfaces: IoT devices are now part of the attack surface, making it essential to secure these devices against breaches.• Cybersecurity Measures: Strong encryption, secure communication protocols, and endpoint security are crucial to safeguard sensitive data and maintain operational integrity.Vijay highlights the difficulty many organizations face when scaling AI and IoT from pilot projects to full-scale operations.• POC Challenges: Proof-of-concept trials often work well but fail when scaled due to complexities around cost, data quality, and integration.• Scaling Barriers: As companies expand, the cost of sensors, data storage, and integration increases, creating obstacles to widespread adoption.Vijay discusses how businesses can tackle these scaling challenges by starting with high-value use cases and focusing on ROI. He stresses the importance of leadership alignment and organizational readiness in driving successful AI adoption.About the Guest:Vijay Jaswal is the CTO for Asia-Pacific, Japan, Middle East & Africa at IFS. With a deep focus on AI, IoT, and asset management, Vijay leads digital transformation initiatives that help enterprises become more connected, agile, and efficient. He is passionate about simplifying technology for business leaders and driving innovation in asset-heavy industries.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of Discover Dialogues by TechDogs, our host Nikhil Sonawane, Media Relations lead sits down with Shadab Hussain, Director – Cloud + AI Specialist Sales at Microsoft, for an in-depth conversation on what it truly means to lead in the age of artificial intelligence.From his beginnings in Gwalior — inspired by the visual magic of Jurassic Park — to leading enterprise AI transformations at Microsoft, Shadab’s story is one of curiosity, adaptability, and constant reinvention. He walks us through his journey from early data analytics projects at Wipro to AI consulting for Apple, and finally, to spearheading cloud and AI strategies that shape the world’s most trusted enterprises today.Throughout the conversation, Shadab explores the human + AI partnership, emphasizing that technology isn’t replacing us — it’s redefining what leadership, innovation, and collaboration mean in the modern enterprise. He shares how AI is revolutionizing highly regulated sectors such as healthcare, pharmaceuticals, and energy, where algorithms are accelerating drug discovery, optimizing clinical trials, and improving outcomes for millions.But this transformation doesn’t come without challenges. Shadab discusses the delicate balance between innovation and regulation, and how businesses must ensure AI ethics, transparency, and safety while moving fast. His take? The real opportunity lies not in using AI as a quick tool — but in reinventing systems, processes, and mindsets from the ground up.He also introduces a powerful concept for building enterprise-ready AI systems — designing for stated, understated, and future requirements. Too many organizations, he warns, build for the past. True success comes when leaders design for tomorrow, using AI to deliver answers instead of reports, insights instead of data.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubThe conversation concludes with leadership lessons that go beyond technology. Shadab believes that alliances thrive when everyone’s goals align — when leaders inspire partners, teams, and ecosystems to pursue a shared vision.And in a world that’s constantly evolving, he leaves us with a message worth remembering:“Don’t fight the wave. Find your place in it.”If you’re a business leader, technologist, or anyone curious about how AI is reshaping enterprises, this episode offers a thoughtful, human-centered perspective from someone at the forefront of transformation.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Scaling Generative AI Beyond Pilots: Data Trust, Governance, and Enterprise Readiness Enterprise adoption of generative AI is accelerating. Organizations are experimenting rapidly, teams are building pilots, and leaders are eager to unlock productivity gains. Yet, as Vivek Kompella explains in this Discover Dialogues episode, the journey from experimentation to production remains difficult for most enterprises.In this conversation, Vivek Kompella, Director of Enterprise Data & AI at Informatica, shares a grounded, experience-driven perspective on what enables AI initiatives to scale — and what causes them to stall. Drawing from nearly two decades in data, analytics, and AI leadership, Vivek speaks candidly about the patterns he has seen across enterprise environments and the foundational elements required for long-term success.From Engineering to Enterprise Data Leadership Vivek begins by walking through his professional journey, starting with his academic background in electrical engineering and his early career at Capgemini. Despite having no formal IT training when he entered the field, an early piece of advice from a senior colleague shaped his direction: developing strong data skills would always be valuable. That guidance became a turning point. Vivek invested heavily in learning data technologies, certifications, and real-world application. His early exposure to senior leadership teams at Informatica, where he supported management information systems, helped him understand how data is used — and sometimes misunderstood — in business decision-making. Over time, he progressed through engineering and leadership roles, eventually relocating to Informatica’s headquarters in California. As his responsibilities grew, so did his focus on continuously upskilling, including formal AI education beginning around 2016–2017.Why AI Pilots Struggle to Reach Production A central theme of the discussion is why many generative AI initiatives fail to move beyond pilot stages.Vivek explains that while experimentation is necessary for learning and skill development, it is often mistaken for transformation. Many pilots never reach production due to a lack of clarity around the business problem being solved, misalignment on priorities, or insufficient readiness to operationalize solutions. He identifies three recurring challenges enterprises face: • Weak business alignment around AI initiatives • Lack of trusted, well-prepared data • Insufficient governance and risk review processes Without addressing these fundamentals early, organizations accumulate pilots that do not translate into real business outcomes.Vivek places strong emphasis on data as the foundation of AI. He explains that AI initiatives cannot succeed without trusted data and consistent definitions. The conversation explores why simple lift-and-shift cloud migrations often fall short when modernizing data platforms. According to Vivek, architectural decisions must consider not only current needs but also how systems will scale over time. He highlights the importance of semantic data models as a way to establish a single source of truth. Without centralized definitions, different teams — sales, finance, marketing — often report different numbers for the same metrics, eroding trust and slowing decision-making. In Vivek’s view, semantic models are not legacy concepts but essential enablers of data democratization, data literacy, and AI scalability. About the Guest Vivek Kompella is the Director of Enterprise Data & AI at Informatica, where he leads the GenAI Center of Excellence and drives enterprise-wide AI and analytics strategy. In this episode, he shares why trusted data, governance, and business alignment are the real drivers of scalable AI success.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge sits down with Dave Killeen, Field CPO EMEA at Pendo, to explore how AI is fundamentally reshaping product leadership, enterprise decision-making, and organizational design. Drawing from over 25 years across media innovation, high-growth startups, and enterprise SaaS, Dave shares practical insights on executive alignment, AI-native workflows, disciplined experimentation, and the future system of work.Dave reflects on his journey across media, consumer platforms, startups, and enterprise environments.• Launching MailOnline and working on BBC iPlayer• Scaling product decisions across 150M users at Badoo• Navigating failed startups and learning resilience• Leading AI-centric repositioning at Productboard• Now shaping enterprise AI fluency at PendoDave explains why the Chief Product Officer role often has one of the shortest tenures in the C-suite.• Product leaders must anchor decisions in market evidence• Customer-centric data builds executive trust• Gut-driven strategy creates C-suite friction• Storytelling backed by measurable outcomes increases alignmentAI is no longer a playground experiment. It is becoming operational reality.• Moving beyond pilots into scaled implementation• Experimenting across OpenAI, Anthropic, and Gemini• Avoiding dependency on a single AI ecosystem• Building AI fluency across product teamsAI accelerates building, but speed introduces new risks.• Rapid app creation in hours instead of weeks• Feature bloat without disciplined oversight• The need for qualitative taste alongside quantitative data• Product leaders acting as curators, not just buildersDave shares a grounded perspective on enterprise-grade AI adoption.• Internal AI use cases deliver immediate productivity gains• Systems of record remain complex and context-heavy• Tacit knowledge and governance challenges persist• Enterprise AI maturity requires architectural evolutionAI will not just improve efficiency. It will reshape roles.• Roles are collections of tasks that may shift to AI• Organizational structures must evolve• Leaders must empower teams with broader AI access• Customer value must remain the central anchorDave also shares how he built and open-sourced a personal AI knowledge management system.• Using Claude Code for contextual workflow memory• Injecting long-term context into fresh AI conversations• AI suggesting next steps and drafting communication• Open-sourcing to help non-engineers understand AI orchestrationWhy This Conversation Matters:As AI accelerates product development and decision-making, leaders must balance speed with discipline, experimentation with governance, and innovation with executive alignment. Dave’s perspective offers a pragmatic blueprint for navigating AI-native product leadership in a period of rapid change.About the Guest:Dave Killeen is Field CPO, EMEA at Pendo. He works closely with enterprise customers to shape AI-native product management practices and drive measurable product impact. With leadership experience at Productboard, Onfido, Elsevier, Badoo, BBC iPlayer, and MailOnline, Dave combines startup experimentation with enterprise rigor. He also hosts the Vibe PM Podcast, where he explores practical AI fluency for product teams.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What does it really mean to treat data as a product? Why is Data Mesh becoming the go-to framework for global enterprises? And how is PayPal applying these ideas at scale?In this episode of Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Jay Sen, Director of Data Engineering at PayPal, to unpack the evolving world of enterprise data. With over a decade of experience modernizing data ecosystems, Jay shares his journey from early Hadoop clusters to architecting data-driven systems that power one of the world’s leading digital payments platforms.In this episode, you’ll learn:• What “Data as a Product” really means in practice• The misconceptions and myths around Data Mesh• How PayPal applied Data Mesh principles to real business challenges• The cultural and technical hurdles enterprises must overcome• Why governance, ownership, and discoverability are key to scaling data systems• Practical advice for data leaders and engineers trying to replicate this modelIf you’re a data engineer, data leader, or enterprise architect, this conversation will give you a front-row seat to how leading organizations are rethinking data for the next decade.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy watch?Because this is not just about buzzwords. It’s about turning data into real business value. Whether you’re exploring Data Mesh, Data Fabric, or Data Lakes, Jay’s insights cut through the noise and highlight what actually works in enterprise contexts.About Jay Sen:Jay Sen is the Director of Data Engineering at PayPal, where he leads initiatives to modernize and scale enterprise data systems that power one of the world’s largest digital payments platforms. With over a decade of experience spanning Hadoop clusters, cloud-native architectures, and advanced data governance, Jay has been at the forefront of transforming how enterprises treat data as a product. His work focuses on building resilient, discoverable, and business-aligned data ecosystems—bridging the gap between technology and organizational culture. Known for his practical insights and leadership in applying frameworks like Data Mesh, Jay continues to shape how global enterprises unlock the real value of their data.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane sits down with Kurt Muehmel, Head of AI Strategy at Dataiku, to explore what it truly takes to scale AI inside enterprises.Having joined Dataiku as employee #20 and helped scale it globally, Kurt shares practical insights on AI democratization, governance, enterprise architecture, and leadership credibility.Kurt’s Professional Journey: From Consulting to Global AI Strategy:Kurt reflects on his path from consulting and public sector advisory to scaling Dataiku internationally.• Joining Dataiku as employee #20• Leading US expansion from France• Learning AI through customer conversations• Observing enterprise evolution from Hadoop to Generative AIDemocratizing AI Beyond Chatbots:Kurt explains why simply deploying internal GPT tools is only “level 0.1” of democratization.• True AI democratization empowers domain experts• Business users must build AI systems, not just consume them• AI must transform complex enterprise processes• Organizational reasoning matters more than model accessGovernance As Trust And Business Alignment:AI governance is not just risk mitigation — it builds enterprise trust.• Managing data sensitivity and model selection• Aligning AI use cases with business objectives• Defining acceptable risk and performance thresholds• Governance as the foundation for adoption credibilityThe Biggest Architectural Mistake Enterprises Make:Kurt highlights why treating AI as isolated solutions creates long-term friction.• AI is a general-purpose technology• Localized AI deployments create silos• Organizations need a reasoning layer• Architecture must abstract decision-making from modelsEscaping The AI Pilot Trap:Why do so many AI initiatives stall after proof of concept?• Misalignment with real business requirements• Ignoring acceptable error thresholds• Over-focusing on technical performance• Competitive differentiation requires customizationLeadership Credibility In The Age Of AI:Kurt shares what separates real AI leaders from symbolic adopters.• Leaders must actively use AI themselves• Hands-on experimentation builds authenticity• Sincerity of belief drives organizational momentum• AI credibility requires visible commitmentWhy This Conversation Matters:Enterprise AI will not scale through hype, tools, or isolated pilots. It will scale through architecture, governance, alignment, and credible leadership.Kurt’s perspective offers a pragmatic roadmap for organizations navigating AI’s most disruptive phase yet.About The Guest:Kurt Muehmel is Head of AI Strategy at Dataiku. He advises executives on AI adoption, enterprise architecture, and strategic alignment. Having helped scale Dataiku from early startup to global enterprise leader, Kurt combines operational experience with strategic insight to guide organizations through AI transformation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane speaks with Brian Olynyk, Director of Software Development at Bentley, about his journey in engineering leadership and his CAMP framework. Brian discusses his career path, from IBM to Booking.com, and now at Bentley, where he manages large teams. They explore leadership challenges, team empowerment, and how AI is reshaping software development.Brian’s journey began in engineering and architecture, progressing through roles at IBM, Booking.com, and now Bentley. He shares how his career evolved from technical work into leadership, managing large teams and empowering them to innovate.• Transition from engineering to leadership roles• Experience across various tech environments• Adaptability in Brian’s journeyBrian explains his CAMP framework—Connection, Autonomy, Mastery, and Purpose—and its role in his leadership approach. He highlights the importance of ensuring teams feel connected, have autonomy, master their craft, and align their work with a greater purpose.• CAMP framework’s role in team success• Connection and autonomy in leadership• Implementing CAMP in organizationsBrian discusses the challenges of leading large teams, particularly in scaling organizations. He reflects on how growth often dilutes purpose and how maintaining alignment with company values becomes harder. He shares advice on keeping teams focused as the organization scales.• Leading large teams at Bentley• Risk of losing purpose during growth• Balancing leadership and autonomyAs AI becomes integral to software development, Brian discusses balancing technology and human judgment. While AI streamlines processes, he emphasizes that leadership and strategic decisions should stay human-led. He shares how AI empowers teams but highlights the limits of AI in critical decisions.• Role of AI in software development• Maintaining human judgment in AI environments• Using AI for team empowermentBrian discusses the challenge of maintaining purpose as organizations scale. He stresses reiterating the company’s purpose to keep teams aligned, especially when new team members join.• Purpose as a key factor in leadership success• Challenges during rapid growth• Strategies for keeping teams alignedBrian explores the balance between human leadership and AI. AI can automate tasks, but leadership and decision-making should stay human-led. He shares how AI complements human leadership, not replacing it.• Balancing human leadership with AI• Why leadership must remain human-led in AI environments• AI’s role in augmenting judgmentBrian’s advice: leaders must prioritize self-care to show up at their best for their teams. By maintaining balance, leaders can inspire their teams for long-term success.• Importance of self-care for leaders• How leaders’ energy impacts team performance• Empowering teams while maintaining balanceWhy This Conversation Matters NowAs organizations grow and technology evolves, maintaining strong leadership practices becomes essential for success. Brian’s insights on leadership, AI, and purpose offer valuable lessons for leaders navigating the challenges of modern business environments.About the GuestBrian Olynyk is the Director of Software Development at Bentley, with a focus on building high-performing teams and fostering collaboration. He leads with the CAMP framework, Connection, Autonomy, Mastery, and Purpose driving continuous improvement and innovation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director & Editor-in-Cheif at Techdogs speaks with Dominic Pereira, Vice President of Product Management at Automation Anywhere, about how enterprise automation is evolving in the era of generative and agentic AI.Drawing on more than two decades of experience across BPM platforms, governance and risk systems, and intelligent automation, Dominic shares how organizations can move beyond automation pilots to scalable AI systems. The conversation explores the shift from deterministic workflows to adaptive AI-driven processes, why governance must be embedded early, and how product leaders must think differently when building AI-powered enterprise platforms.From BPM Platforms to Enterprise AIDominic begins by reflecting on his career journey and how it shaped his perspective on innovation.Key experiences that shaped his thinking include:• Building early BPM platforms and learning how scalable SaaS systems are designed • Working closely with business users through governance and compliance platforms • Realizing that successful technology must focus on measurable business outcomes • Combining strong platform engineering with domain knowledge in enterprise systemsThis foundation ultimately led him to work on agentic process automation, where AI systems orchestrate complex workflows across enterprise functions.The Shift From Traditional Automation to Agentic AITraditional automation systems were deterministic and rule-based. They executed predefined tasks with predictable outputs.However, generative AI has dramatically expanded the scope of automation.Dominic explains that organizations are now seeing automation capabilities increase significantly because AI can handle tasks that require cognitive reasoning and contextual understanding.This shift enables organizations to move from:• Automating repetitive tasks • To automating end-to-end business processes • And eventually enabling intelligent systems that adapt and collaborateMoving AI From Pilots to ProductionMany organizations experiment with AI through proof-of-concept projects but struggle to operationalize those initiatives at scale.Dominic outlines three structural pillars that help bridge this gap:Outcome-Driven ArchitectureAutomation should focus on transforming entire business outcomes rather than automating isolated tasks.Human-in-the-Loop DesignHuman judgment remains critical in AI systems, especially for:• Exception handling• Final approvals• Regulated workflowsGovernance by DesignGovernance must be embedded into systems from the start to:• Build organizational trust• Reduce operational risk• Accelerate enterprise adoptionDominic highlights several mechanisms organizations use to maintain quality:• Role-based access controls and governance frameworks • Reusable templates and standardized automation components • AI-assisted automation creation using natural language prompts • Observability tools to monitor performance and prevent technical debtThese practices allow organizations to scale innovation while maintaining stability.About the GuestDominic Pereira is the Vice President of Product Management at Automation Anywhere, with over 20 years of experience building and scaling enterprise B2B SaaS platforms. His career spans Business Process Management, Governance Risk and Compliance, Intelligent Automation, and Generative AI–driven enterprise systems. Dominic currently leads initiatives focused on agentic process orchestration, enabling organizations to automate complex, mission-critical workflows using AI agents, APIs, and low-code platforms. Known for his governance-first and outcome-driven approach, he focuses on helping enterprises scale automation responsibly while delivering measurable business value.🌐 Visit us at: https://www.techdogs.com

In this episode, our host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Joe Dunleavy, Regional CTO for Europe and Global SVP, Head of Dava.X AI at Endava. With over 20 years of experience across software engineering, startups, and global enterprises, Joe has seen firsthand how technology evolves—and how businesses must adapt.This conversation dives into the world of Agentic AI—what it really means, where it creates real business value, and why so many leaders are still caught between hype and reality. Joe offers practical insights on how industries like healthcare, finance, and insurance can embrace agentic AI to enhance workflows, improve compliance, and boost productivity.What You’ll Learn in This Episode:• Joe’s professional journey: From Microsoft and startups to Prudential, TCS, and now Endava.• Defining Agentic AI: What separates it from traditional AI and why it matters right now.• Dual impact of AI: How it transforms business workflows and accelerates software engineering.• Barriers to adoption: From regulatory concerns to framework confusion, Joe breaks down what’s slowing companies down.• AI hype vs. reality: How leaders can set realistic expectations while still driving innovation.• Leadership in disruption: Why growth mindset, curiosity, and communication matter more than ever.• Building future-ready teams: Psychological safety, recognition, and fostering experimentation.• Personal insights: Joe shares his philosophy on resilience, family, fitness, and enjoying the moment.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy Watch This Episode?If you’re a CTO, CIO, product leader, or someone navigating digital transformation, this episode will give you practical strategies and actionable insights to take your AI journey forward. Joe doesn’t just talk about technology—he connects it to the mindset and leadership skills that make transformation sustainable.About Joe Dunleavy:Joe Dunleavy is the Regional CTO for Europe and Global SVP, Head of Dava.X AI at Endava, where he leads groundbreaking initiatives like the Morpheus agentic AI accelerator. With more than two decades of experience spanning Microsoft, startups, Prudential, and TCS, Joe has built a career at the intersection of software engineering, innovation, and enterprise transformation. Known for his practical approach to AI adoption, he champions the idea of augmentation over automation—helping industries like finance, healthcare, and insurance unlock real business value from emerging technologies. Beyond technology, Joe is passionate about building resilient, future-ready teams, fostering psychological safety, and leading with a growth mindset.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Inside the Smart Factory Shift: Industry 5.0, AI on the Shop Floor, and the Humanoid QuestionWhat does the next decade of manufacturing really look like when factories are designed to be flexible, sustainable, and AI-literate from day one? In this episode, Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Sangeet Kumar (Co-founder & CEO, Addverb) to unpack how Industry 5.0 changes the way factories and warehouses operate, why automation without rigidity is becoming the default, how sustainability is shaping factory design choices, and where humanoids make sense alongside tried-and-tested wheeled robots. If you care about turning AI from pilot projects into production-grade capability, this is your blueprint.We move beyond buzzwords to talk about what actually works on real shop floors: batch size of one, AI-enabled robots that can reason across tasks, and design principles that reconcile efficiency, flexibility, and energy performance. You’ll hear how Indian manufacturers are approaching AI adoption, where POCs stall, and what needs to be true for success stories to scale. You’ll also get a grounded take on humanoids: when legs beat wheels (stairs, uneven terrain, human-scale infrastructure), and where social acceptance, safety, and reliability shape the deployment choices.Why this conversation matters right now• Industry 5.0: The shift from rigid automation to human-centered, adaptable manufacturing is here. Factories are evolving from high-volume sameness to mass customization-while still demanding uptime, throughput, and quality.• Practical AI: Generative and reasoning models are entering the cell-not as shiny demos, but as assistive intelligence for robots, vision systems, and planning tools. The question isn’t “can we automate?” but “can the system adapt with minimal re-teaching?”• Sustainability as a design input: Energy, materials, recyclability, and “no-compromise greenery” are becoming part of the factory design spec-solar, smart building envelopes, and designing around existing trees instead of bulldozing them.• Humanoids vs wheels: Real deployments depend on the terrain, tasks, and environment. Biped and quadruped platforms unlock human-scale spaces and non-standard surfaces. Wheeled AMRs still dominate when the path is predictable.Who should watch:• Manufacturing leaders building a roadmap for Industry 5.0 transitions• Operations & factory design teams balancing flexibility, throughput, and sustainability• Automation and robotics teams evaluating AMRs, co-bots, quadrupeds, and humanoids• Data & AI leaders moving from pilot AI projects to production• Systems integrators & OEMs aligning value propositions to batch size variabilityAbout Sangeet Kumar:Sangeet Kumar is the Co-founder and CEO of Addverb, where he leads AI-enabled robotics and automation for real-world manufacturing and logistics. In this conversation, he explains how Industry 5.0 is pushing factories toward “automation without rigidity,” why flexibility and batch-size-of-one matter, and how perception-driven robots can adapt across tasks on the shop floor. He also shares a practical lens on sustainable factory design-solar, energy-aware layouts, preserving green cover-and gives a grounded view on when humanoids (and quadrupeds) make sense alongside wheeled AMRs in human-scale environments.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Drop your questions in the comments-what’s your biggest barrier to flexible automation or AI on your floor? For partnership or feature requests, connect with us via the channel “About” tab🌐 Visit us at: https://www.techdogs.com

What if AI didn’t just make us faster—but made us better?In this episode of Discover Dialogues, Nikhil Sonawane, Media Relations Lead, sits down with Sapir Hadad, Executive Director of AI Innovation at Fiverr and Forbes 30 Under 30 honouree, who’s redefining how we build technology—with ethics, empathy and impact at the core.What You’ll Learn from this episode:• Sapir’s journey from finance and analytics to founding two AI ventures and then scaling innovation at Fiverr.• Her perspective on “responsible” and “ethical” AI: how to embed these values into products, not just talk about them.• A candid discussion on agentic AI—what’s real and what’s hype in the autonomous systems conversation.• How AI is reshaping the gig economy and why freelancers should view AI as an enabler, not just a threat.• Leadership in the AI era: how empathy, real‑world execution, and human‑centered design are becoming non‑negotiables.Why This Matters:As AI advances faster than many of our institutions, the risk isn’t just technical—it’s human. Sapir makes the case that innovation without empathy is short‑sighted. At Fiverr, she leads the charge on building AI that serves the people behind the work: creators, freelancers, teams—real humans. In this episode you’ll hear how to bridge the hype with substance, how to lead with values in fast‑moving industries, and why curiosity is your strongest asset.Who Should Watch:• Product & AI leaders looking for frameworks beyond algorithmics.• Freelancers and marketplace professionals navigating the shift in work.• Anyone curious about where AI is headed—with a focus on impact, ethics and human potential.• Working parents and leaders balancing ambition with empathy.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Sapir Hadad:Sapir Hadad is an entrepreneur, product strategist, and Forbes 30 Under 30 honouree, currently serving as the Executive Director of AI Innovation at Fiverr. With a background in economics and machine learning, she has founded and successfully exited two AI startups—one in no-code financial modelling and another in generative content optimization. At Fiverr, Sapir leads the development of responsible, human-cantered AI solutions that empower freelancers rather than replace them. Her leadership is marked by a unique blend of technical depth, ethical clarity, and empathetic decision-making, making her a standout voice in the evolving conversation around AI, innovation, and the future of work.About Discover Dialogues: Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Join the Conversation:What part of AI innovation resonates most with you? What questions or concerns do you have about AI in your industry or role? Drop your thoughts in the comments below—we read and respond to as many as we can.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

How do you build responsible AI when the tech world is buzzing with hype? Why is “data literacy” not just a skill but a mindset? And what does it take to lead a global organization through the next phase of digital transformation?In this thought-provoking episode of Discover Dialogues, Nikhil Sonawane, Media Relations Lead at TechDogs sits down with Robin Sutara, the Field CDO at Databricks, for a conversation that goes far beyond the buzzwords. With a career spanning the U.S. military, over two decades at Microsoft, and now a leadership role at Databricks, Robin shares how she’s navigating the rapidly shifting intersection of data, ethics, and enterprise innovation.What You’ll Learn in This Episode:• Why “data literacy” is the real foundation for digital transformation• The problem with how companies measure success in data projects• The difference between responsible AI and performative AI ethics• How gender equity plays a role in building inclusive tech cultures• Why leaders need to be better storytellers, not just better strategistsWhether you’re a CDO, CIO, AI strategist, or just navigating your company’s data journey—this episode is packed with tactical advice and hard-earned wisdom.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Robin Sutara:Robin Sutara is the Field CDO at Databricks, where she bridges the gap between cutting-edge technology and real-world business needs. With over two decades of experience in the data and AI space, Robin has worked across industries and continents, helping enterprises unlock the full value of their data ecosystems. Before joining Databricks, she spent a significant part of her career at Microsoft, driving strategic transformations and data innovation initiatives. Robin is known not just for her deep technical acumen but also for her people-first approach to leadership, storytelling, and change management. In this episode, she shares candid insights into building data cultures, the evolving role of the CDO, and how generative AI is reshaping enterprise priorities—delivered with her signature blend of sharp wit and strategic clarity.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Let us know in the comments: What’s the biggest AI challenge your org is facing today?🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Description with TimestampsScaling Responsible AI: From Public Sector Foundations to Enterprise Impact In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Heather Dawe, Chief Data Scientist, UK and Head of Responsible AI at UST, about what it truly takes to move AI from experimentation to measurable, trustworthy business outcomes. Drawing on over two decades of experience across government, healthcare, and enterprise environments, Heather offers a grounded, practical view of how AI maturity is built over time, not through hype but through discipline, governance, and people-centric leadership. Heather begins by tracing her journey from a mathematics background into software engineering and large-scale systems at IBM, followed by roles in retail technology and eventually a pivotal shift into government statistics. At a time when “data science” did not yet exist as a formal discipline, she combined statistical modeling with computational systems to solve real-world problems. This foundation became especially significant during her decade-long tenure in the UK’s National Health Service, where she built and led the first data science team in the UK public sector. Her work involved processing millions of rows of sensitive healthcare data to develop risk-adjusted indicators, including hospital mortality metrics, with explainability embedded directly into the models. This early exposure to high-stakes decision-making shaped Heather’s deep commitment to responsible AI. She explains how working with sensitive health data made fairness, transparency, and accuracy non-negotiable, long before ethical AI became a mainstream conversation. These principles now guide her enterprise work at UST, where she helps organizations balance AI innovation with risk management, governance, and long-term trust. The conversation then shifts to a challenge many organizations face today: AI pilots that look impressive but fail to deliver sustained value. Heather emphasizes that AI should never exist for its own sake. Instead, leaders must tie AI initiatives directly to business strategy, define measurable KPIs, and continuously demonstrate return on investment. She explains how value measurement creates a virtuous cycle, enabling organizations to justify further AI investment while avoiding stagnation at the proof-of-concept stage. The episode concludes with personal reflections on leadership, diversity, and advice for the next generation of AI leaders. Heather encourages aspiring data professionals to bring their authentic selves to work, arguing that diversity of thought is essential for innovation and ethical decision-making.Why This Conversation Matters Right Now:• Enterprises are struggling to scale AI beyond pilots • Responsible AI is now a board-level concern • Measuring value is critical to sustained AI investment • Leadership and culture determine AI success as much as technology.Who Should Watch:• CIOs, CTOs, and Chief Data Officers • AI and data science leaders scaling enterprise AI • Business leaders seeking measurable AI ROI • Professionals interested in responsible and ethical AIAbout the Guest:Heather Dawe is Chief Data Scientist, UK and Head of Responsible AI at UST. With over 25 years of experience across government, healthcare, and industry, she is a recognized leader in responsible AI, enterprise data strategy, and ethical technology adoption. Heather has appeared on major media platforms, spoken at global forums on AI ethics, and continues to advocate for diversity in STEM and the responsible use of AI at scale.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Can AI actually reason—or is it just mimicking intelligence?In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing director and Editor in Chief at TechDogs sat down with Dominik Tomicevic, CEO and Co-Founder of Memgraph, a real-time graph database company at the forefront of building explainable, structured AI systems.From his roots in competitive programming to the lightbulb moment that sparked the creation of Memgraph, Dominik walks us through his journey of creating technology that helps machines go beyond predictions and start connecting dots the way humans do. We explore the limitations of black-box AI models, the risks of surface-level intelligence in enterprise environments, and how graph databases can anchor AI tools with real-time, deterministic reasoning.In this episode, you’ll discover:• How graph databases solve the reasoning limitations of LLMs like GPT• Real-world use cases: from cybersecurity mapping to personalized recommendations• A powerful AI evaluation framework for business leaders• Why structured knowledge matters more than ever in the age of generative AI• How graph thinking mimics human cognition and unlocks richer, safer insightsIf you're exploring the next generation of enterprise AI solutions, care about LLM reasoning, or want a smarter approach to real-time data processing, this episode is for you.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter🌐 Visit us at: https://www.techdogs.com

Artificial Intelligence is transforming cybersecurity—but will it ever replace human judgment in the SOC? In this episode of Discover Dialogues, Nikhil sonawane, Media Relations Lead at TechDogs sits down with Chloe Burton, Manager of Detection Engineering at Deepwatch, to explore how AI, automation, and human expertise intersect in modern threat detection.Chloe’s journey into cybersecurity wasn’t a straight line. From starting in psychology to working helpdesk, to becoming a Splunk expert, and finally leading detection engineering at one of the most innovative MDR providers in the industry, her career has been shaped by adaptability, curiosity, and a passion for mentorship.In this conversation, Chloe shares why “human-in-the-loop” thinking is critical in detection engineering. While AI offers speed, scale, and automation, she explains why the human perspective remains irreplaceable—especially when adversaries are using AI to launch increasingly sophisticated attacks.We cover:• Chloe’s unconventional career path from consulting to detection engineering leadership• How AI and automation fit into the detection development lifecycle• Why “robot-on-robot energy” is the new normal in cyber defense• What a healthy detection engineering practice looks like today• How to measure SOC maturity beyond traditional KPIs like MTTX• Shifting from alerts-first to context-first threat detection• The mindset shift security teams must make to stay ahead of adversaries• Chloe’s leadership philosophy: empowerment over micromanagement• Rule #1 for surviving—and thriving—in a cybersecurity career🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Chloe Burton:Chloe Burton is Manager of Detection Engineering at Deepwatch. She has led detection engineering and SOC transformation projects for global enterprises, developed go-to-market strategies for security solutions, and built high-performance cyber teams. A strong advocate for diversity and mentorship in technology, she is committed to empowering the next generation of cybersecurity professionals.Chloe also discusses her approach to team-building and leadership. She explains how empowerment builds loyalty and how micromanagement stifles innovation. For her, strong detection engineering isn’t just about systems and metrics—it’s about people.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Whether you’re a SOC manager, detection engineer, CISO, or simply curious about the future of AI in security, this episode delivers practical strategies and leadership insights you can apply today.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this conversation, Nikhil Sonawane, our Media Relations Lead, sits down with Juan David Quinones, Managing Director and Head of Strategy for the Financial Services AI Studio at Globant.From his roots in Colombia and over a decade at Accenture, to now shaping global AI strategy at Globant, Juan has witnessed firsthand how technology is reinventing the financial services industry.This episode is packed with insights into the future of AI in financial services, leadership lessons from a rapid career rise, and a look at the person behind the strategist.What You’ll Learn in This Episode:• How Juan’s career journey — from Banco de Bogotá to Accenture to Globant — shaped his passion for transforming the financial sector.• The three biggest challenges banks face with AI: legacy systems vs. new tech, balancing innovation with risk, and the fight for top talent.• Why Juan believes the future of banking is moving from transactional services (checking balances, paying bills) to personalized financial advice powered by AI.• Lessons from Latin America and India (PIX in Brazil, UPI in India) that the rest of the world can learn from.• The near-term future: voice banking, AI agents, and gamified financial experiences.• Juan’s leadership values — Excellence, Empathy, and Discipline — and why execution beats perfect strategy.• Fun rapid-fire insights: his comfort food, favorite books, alternate career choice, and even his dream dinner with Napoleon.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy Watch This Episode?If you’re a business leader, AI innovator, consultant, or aspiring strategist, this episode gives you practical and actionable insights into how AI is transforming financial services globally. You’ll learn how to balance innovation with trust, why execution is the key differentiator, and how leadership values can guide successful transformation in highly regulated industries.About Juan David Quinones:Juan began his career in Colombia, working briefly at Banco de Bogotá before realizing his true passion wasn’t just working within the industry but transforming it. He joined Accenture, where he spent over 11 years in financial services consulting, rising quickly from analyst to Managing Director. His experience across Latin America gave him a unique perspective on how different markets approach digital transformation. Today, he is based in New York, leading global strategy for Globant’s Financial Services AI Studio.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-In-Chief sits down with Jagdish Mahapatra, Managing Director, APJ, Google Cloud Security, to explore one of the most important conversations in technology today — how cloud security, AI, and leadership are reshaping the future of enterprise resilience.The conversation begins with reflection — how early experiences shaped his understanding of scale, innovation, and adaptability. It then transitions into a candid exploration of cloud security and the perimeterless enterprise, where Jagdish challenges traditional thinking:Jagdish also reflects on how cloud security has evolved beyond infrastructure and why culture, leadership, and trust now define the new perimeter. He explains how AI, automation, and human collaboration are reshaping cybersecurity at scale, and how leaders can prepare their teams for a world where threats move faster than ever before.What You’ll Learn in This Episode:• How the meaning of “perimeter” has changed in today’s cloud-first world• Why security-by-design and platform thinking are critical for modern enterprises• The rise of AI agents and how they will redefine cybersecurity operations• Why leaders must focus on culture, communication, and consistency to build security-first organizations• How faith, well-being, and storytelling can shape stronger leadership mindsets🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Jagdish Mahapatra:Jagdish Mahapatra is the Managing Director for Google Cloud Security across Asia Pacific and Japan, where he leads business growth and enterprise transformation across industries. With leadership roles at Cisco, McAfee, and CrowdStrike, he has shaped the cybersecurity narrative for over two decades. Jagdish is known for his reflective leadership style, balancing technical precision with human empathy — inspiring teams to focus on trust, well-being, and resilience in an increasingly digital world.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What if your AI could feel the market — not just read it?In this powerful episode of Discover Dialogues, Shailesh Dhuri, CEO of Decimal Point Analytics, joins host Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief e for a deep, energizing conversation on the future of finance, the philosophy behind decision systems, and the role of human intuition in an AI-driven world.Key Themes Covered: • How AI is evolving from real-time to pre-time analytics • Designing AI with guardrails and brakes, not just engines • The Traffic Light System: Green, Yellow, Red zones of automation • Why curiosity IQ in modern leadership • Why informed clients aren’t enough — they must become intelligent • Leadership lessons from the world’s biggest brands • A candid take on market cycles, scenario planning, and ethical AI🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubShailesh blends hard-earned wisdom from the trading floors of the 90s with visionary thinking about modern-day AI systems. He doesn’t believe in AI replacing humans — he believes in amplifying human judgment with machine precision. From analyzing over 60,000 listed stocks to enabling global IPO coverage faster than legacy brands, Decimal Point Analytics is doing what few firms can.Whether you're a startup founder, fintech enthusiast, data scientist, or leader in BFSI, this episode delivers the exact mix of insights and metaphors that make you rethink the future of decisions.About Shailesh Dhuri:Shailesh Dhuri is the CEO of Decimal Point Analytics and a trailblazer at the intersection of finance, AI, and decision science. With over two decades of experience spanning bond trading, fund management, and market analytics, Shailesh has redefined how institutions assess risk and build intelligence. From creating India’s first money market mutual fund to developing pre-time analytics platforms that anticipate market shifts before they surface, his work blends mathematical precision with human intuition. At Decimal Point, he champions AI systems that are not just fast, but responsible—designed with brakes, auditability, and purpose. Shailesh is also a passionate advocate for curiosity-led leadership, cross-domain learning, and building teams that solve problems Google can’t.About Discover Dialogues: Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Leading Digital Experiences Across APAC: Culture, Scale, AI, and the Future of Physical EngagementIn this episode of TechDogs Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and EIC sits down with Manish Kumar, Managing Director - APAC at Scala, to unpack what it truly takes to lead digital experience transformation across one of the world’s most complex regions.Manish reflects on his global leadership journey, from early formative years in Australia to scaling Scala into a unified APAC powerhouse. The conversation explores why APAC is not a single market but a mosaic of cultures, regulations, and digital maturity levels—and how leaders must balance localization with a unified regional vision.The discussion dives into the evolution of digital signage from static screens to intelligent, data-driven experience platforms. Manish shares how AI is reshaping physical environments through contextual content, predictive operations, multilingual engagement, and operational efficiency - while stressing the importance of responsible data use and execution discipline.From India’s rapid digital acceleration to leadership lessons on empowering local teams, this episode offers grounded insights for business leaders navigating growth, technology, and scale across APAC.Why This Conversation Matters Right Now:• APAC Leadership Reality: Leading across APAC requires cultural intelligence, regional adaptability, and long-term relationship building.• Digital Experiences Evolving: Digital signage is becoming the connective layer between physical and digital journeys.• AI in Practice: Moving beyond buzzwords toward real-world deployments, predictive maintenance, and operational intelligence.• India’s Moment: India is emerging as both a consumer growth engine and a live testbed for digital innovation.Who Should Watch:• Business and regional leaders managing APAC growth• CX, retail, QSR, airport, and enterprise experience teams• Digital transformation and media technology decision-makers• Leaders evaluating AI adoption in physical environmentsAbout the Guest:Manish Kumar is the Managing Director – APAC at Scala, where he leads strategy, operations, and expansion across Asia Pacific. In this conversation, he shares how disciplined execution enables bold innovation, why customer relevance now defines physical experiences, and how AI-driven media technology is shaping the next phase of engagement across APAC markets.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of Discover Dialogues, Nikhil Sonawane, Media relations lead at TechDogs sits down with Paul Schuster, Senior Sustainability Leader at NTT Data, for a deep dive into how organizations can turn sustainability from a compliance checklist into a true engine of digital transformation.If you’re a business leader, IT strategist, or sustainability professional, this conversation is packed with insights you don’t want to miss.What You’ll Learn in This Episode:• Paul’s personal journey: From co-founding a startup to shaping renewable energy projects, leading Accenture’s sustainable infrastructure practice, and now driving global sustainability at NTT Data.• Why sustainability is a team sport: How cross-sector collaboration—banks, technology providers, reforestation projects, and governments—creates real impact.• NTT Data’s ambitious goals: Achieving net zero in data centers by 2030, operations by 2035, and the entire value chain by 2040, validated by the Science-Based Targets initiative (SBTi).• Operational realities: Why ESG metrics fail without integration, and how 400+ operating levers can turn sustainability into ROI-driven business growth.• Barriers to scaling sustainability: Fragmented regulations, inconsistent data standards, and IT integration challenges—and how leaders can overcome them.• Design for sustainability: Embedding sustainable practices into IT architecture (data centers, cloud, networks) rather than treating them as afterthoughts.• Energy innovation: Balancing AI’s energy demands with clean power adoption and smarter efficiency in existing infrastructure.• Leadership lessons: Why humility, transparency, and middle-out leadership are essential for driving change.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Paul Schuster:Paul Schuster is a seasoned sustainability leader with over two decades of experience driving clean energy, renewable development, and sustainable infrastructure. From co-founding a startup focused on utility cost management to leading renewable energy initiatives and heading sustainable infrastructure at Accenture, Paul has consistently worked at the intersection of technology, energy, and climate action. Today, as a senior leader at NTT Data, he guides global efforts to embed sustainability into digital transformation, helping organizations align operational efficiency with ambitious climate goals. Passionate about collaboration and innovation, Paul champions sustainability not just as compliance, but as a growth enabler and strategic advantage.Why Watch This Episode?Sustainability is no longer optional—it’s an operational advantage. This conversation breaks down how leaders can embed sustainability into the very DNA of digital transformation while driving measurable business outcomes.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Do you agree sustainability is an enabler, not a burden? Drop your thoughts in the comments—we’d love to hear your perspective!🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge sits down with Manoj Nagpal, Managing Director of OpenText India and Vice President of Professional Services, to explore how enterprises can modernize responsibly in the age of AI. Drawing from over three decades in technology leadership, Manoj shares grounded insights on incremental transformation, data governance, enterprise AI, and empathy-driven leadership.Manoj’s Professional Evolution: From Hardware to Global LeadershipManoj reflects on his journey from electronics engineering to sales, professional services, and executive leadership at OpenText.• Transition from hardware to software industry• Learning enterprise risk through sales• Building high-performing global teams• 26 years shaping enterprise information managementIncremental Modernization Over DisruptionManoj explains why replacing legacy systems overnight is rarely the right approach.• Modernization through business flow by business flow• Wrapping intelligence around existing systems• Outcome-based transformation over perception-based speedAI Readiness Begins With DataAI is powerful, but only when the foundation is right.• Data governance as the first step• Identifying business workflows before deploying AI• Governance, security, and human-in-the-loop systemsEnterprise AI Beyond The HypeManoj addresses misconceptions around AI replacing jobs and solving everything instantly.• AI improves outcomes but requires architecture• Agentic AI vs experimental AI• Integration gaps in fragmented systemsIntegrated Services And Predictable OutcomesCustomers today demand measurable value.• Shift from project delivery to predictable outcomes• Integrated services across implementation, support, and success• Atomic Units Framework at OpenTextWhy This Conversation MattersAs enterprises navigate AI, legacy systems, and rising customer expectations, leaders must balance speed with governance and strategy with empathy. Manoj’s perspective offers a blueprint for modern enterprise leadership grounded in discipline and human connection.About the GuestManoj Nagpal is the Managing Director of OpenText India and Vice President of Professional Services, with over 30 years in enterprise technology. He leads global transformation initiatives focused on secure information management, AI readiness, and outcome-driven modernization.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

The world of technology is at an inflection point. Artificial intelligence is no longer just about automation or prediction—it’s about agency, collaboration, and abundance. In this episode of Discover Dialogues, we speak with Jeetu Patel, President & Chief Product Officer at Cisco, to explore how Agentic AI is reshaping work, leadership, and innovation. Jeetu’s career journey spans startups, mid-sized disruptors, and some of the largest enterprise technology companies in the world. From shaping the cloud collaboration era at Box to building security and collaboration businesses at Cisco, Jeetu has been at the forefront of change. His unique perspective blends leadership, innovation, and a deep understanding of product organizations that scale globally.He explains why Agentic AI marks a shift from scarcity to abundance, how human-AI collaboration will define the future of work, and why rethinking security architectures is critical in the age of intelligent agents. Jeetu also reflects on building great product organizations, solving hard problems as a leader, and India’s growing role as a driver of global innovation.What You’ll Learn in This Episode:• How Agentic AI shifts us from a world of scarcity to a world of abundance• Why AI as a teammate is more powerful than AI as a tool• How security architectures must evolve when both humans and agents are making decisions• Leadership lessons on solving hard problems and building organizations that thrive on strengths• Why India’s momentum in innovation is inspiring the next wave of global growth• Personal insights from Jeetu Patel on curiosity, resilience, and what keeps him motivated🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy Watch This?If you’re a business leader, technologist, or innovator, this conversation will shift how you think about the role of AI in shaping the workforce of tomorrow. Jeetu Patel doesn’t just talk about AI as a buzzword—he explains how it can unlock abundance, drive original insights beyond human knowledge, and create secure, scalable systems for the future.About Jeetu Patel:Jeetu Patel is the President & Chief Product Officer at Cisco, where he oversees global product strategy across Security, Collaboration, and AI. With experience spanning leadership roles at Box, EMC, and Syncplicity, he has helped define modern enterprise software and security landscapes. Jeetu is passionate about building great product organizations, redefining security in the AI era, and championing innovation in India and beyond.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this exciting episode of Discover Dialogues, Nikhil Sonawane, Media Relation lead at TechDogs sit down with Suman Debnath, Principal Developer Advocate for Machine Learning at Amazon Web Services (AWS), to unpack the next evolution of AI — Retrieval-Augmented Generation (RAG) and Multimodal AI Agents.What We Talk About:So what is RAG and why is everyone in AI talking about it?Suman explains it beautifully: “If the librarian hands you the wrong book, no amount of reading will help you find the answer.” In the world of GenAI, that librarian is your retrieval system — and if it’s not bringing back the right context, even the best large language model will hallucinate or mislead.But that’s just the beginning. We go deep into Agentic RAG, a term that sounds complex but boils down to something essential — building smarter, self-reliant agents that know when and how to retrieve, reason, and act.With Suman’s insights, we explore Colpali, a unique retrieval framework for multimodal data. From vision-language models to hybrid retrieval systems, he makes it crystal clear why AI needs to go beyond just text.What You’ll Learn:• What is RAG and why it's essential for reducing AI hallucination• How Agentic RAG is reshaping the way vision-language models work• A deep dive into Colpali, a new approach for multimodal retrieval• Why Amazon Bedrock is a game-changer for developers• Real-world steps to scale enterprise AI systems using AWS infrastructureWho Should Watch This:• Business leaders looking to adopt GenAI• Developers and data scientists exploring RAG architectures• Decision-makers evaluating AWS tools like Bedrock, SageMaker, and vector databases• Anyone curious about building AI agents that actually scale🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout the Guest:Suman Debnath is a seasoned technologist and Principal Developer Advocate at AWS. He has delivered over 100 keynotes and workshops worldwide and now leads machine learning advocacy through tools like Bedrock, SageMaker, and vector search. His work focuses on making AI practical and scalable for real-world enterprise challenges.Like what you hear? Subscribe, share, and leave your thoughts in the comments. This conversation is for the curious, the builders, and the decision-makers shaping the future.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In today’s digital world, fraud prevention is more critical than ever. With global card transactions expected to reach over 1 trillion by 2029, fraudsters are constantly evolving, and businesses need smarter, faster solutions to stay ahead. In this episode of Discover Dialogues, we’re joined by Doriel Abrahams, Principal Technologist at Forter, who shares his expert insights on how AI is reshaping the landscape of fraud detection and how businesses can leverage this technology to protect their customers and build digital trust.Doriel has been leading AI-driven fraud prevention at Forter for over a decade, helping businesses tackle one of the most pressing challenges in digital commerce. He discusses how real-time fraud detection and AI models are revolutionizing how businesses handle fraud prevention, allowing them to identify fraudulent activities before they cause harm. With the rise of digital transactions, AI-powered systems are becoming an indispensable tool for businesses to automate fraud detection and reduce the burden of manual oversight.What you’ll learn in this episode:• The role of AI in fraud detection: How businesses can leverage AI to detect fraud in real time.• Balancing fraud prevention with customer experience: The challenge of maintaining a seamless customer journey while preventing fraud.• The future of fraud prevention technology: Doriel’s perspective on where AI is taking fraud detection and risk management.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub For leaders in eCommerce, fintech, or digital commerce, this episode offers insights into the rapidly changing fraud prevention landscape and what businesses need to do to prepare for the future.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.Like this episode?Give it a thumbs up.Subscribe to TechDogs for more C-level insights and tech trends.🔔 Subscribe to our newsletter: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What does it take to build innovation before it even exists?In this episode of Discover Dialogues, we’re joined by Alexandra Begue, Founder & Team Lead of Global Customer Incubation at SAP’s Research & Innovation CTO Office. With a background that spans media, entrepreneurship, and enterprise technology, Alexandra offers a rare perspective on what it means to lead innovation when there’s no product, no slides, and no clear roadmap—just a vision.In this conversation, hosted by Nikhil Sonawane, we dive into the engine behind SAP’s future-facing solutions—Customer Incubation. Alexandra shares how her team co-creates early-stage prototypes with Fortune 500 clients, explores cutting-edge technologies like AI, robotics, and physical AI, and builds trust when uncertainty is at its peak.From building autonomous drone startups in Japan to launching an SAP healthcare venture focused on accelerating cancer research, Alexandra’s journey is filled with lessons on resilience, risk-taking, and human-centered tech. She now leads a global effort inside SAP to help customers understand, explore, and scale AI-powered solutions that align with their needs.What You’ll Learn in This Episode:• Why most enterprise AI projects struggle—and what to do about it• How Alexandra founded the AI Customer Incubation Council at SAP• The truth about legacy systems vs. change resistance• How behavioral science and neuroscience can help build trust in innovation• What ethical AI really looks like in enterprise environments• Why customer co-creation is the future of B2B product development• Real-world examples of AI used to empower, not replace, human workers🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubThis is more than a podcast. It’s a masterclass in how to scale innovation with empathy, purpose, and practical frameworks.About Alexandra Begue:Alexandra Begue is the Founder and Team Lead of Global Customer Incubation at SAP’s Research & Innovation CTO Office. With a background that spans media, startups, and enterprise innovation, Alexandra specializes in helping global customers turn early-stage ideas into scalable, AI-driven solutions. She has led SAP’s efforts in co-innovation, launching initiatives like the AI Incubation Customer Council, and is currently pursuing a doctorate in business administration focused on neuroscience and behavioral science in innovation leadership. Known for her human-first approach to technology, Alexandra is passionate about building trust in innovation, empowering changemakers, and driving ethical, customer-centric transformation at scale.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What makes a platform succeed where others stall? It’s not just APIs or code—it’s clarity, trust, and the humans behind the tech.In this special episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and EIC at Techdogs sits down with Deepak Visweswaraiah, Senior Vice President and Managing Director at Pegasystems India. With over three decades of leadership across the U.S. and India, Deepak has built engineering organizations, scaled platforms, and advised enterprises on digital transformation at the highest levels.This conversation dives into the heart of modern platform thinking. We talk about why simply adding APIs doesn’t make your product a platform, how low-code is shifting the balance of power within organizations, and why GenAI introduces more abstraction—but also more potential. Deepak introduces the concept of “vibe coding” and explains how to lead when code isn’t the only currency anymore.More importantly, he brings a deeply human perspective to engineering leadership—covering how trust, clarity, and culture can become an organization’s most defensible assets.Here’s what Deepak unpacks:• How leadership has shifted from top-down command to cross-functional orchestration• The practical rise of low-code platforms and citizen developers in large enterprises• What “vibe coding” means and how GenAI is impacting developer workflows• Common blind spots in enterprise API and platform strategies• Why developer experience is now a competitive moat in platform ecosystems• How to align engineering, design, and product around shared definitions of quality• The rituals and onboarding practices that scale engineering culture globally• What Deepak believes should be the foundation of future tech leadership training🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubThis episode isn’t just for CTOs or platform engineers—it’s for anyone navigating complex org structures, trying to drive clarity amidst chaos, or rethinking how technology and people interact in real time.Whether you're building platforms, leading global teams, or figuring out how to scale culture in the age of AI, this episode is packed with insights, metaphors, and lessons you’ll want to revisit.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.Like this episode?Give it a thumbs up.Subscribe to TechDogs for more C-level insights and tech trends.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter🌐 Visit us at: https://www.techdogs.com

In a world where businesses are drowning in data but starving for insight, one question dominates every digital transformation roadmap today: how do we turn scattered information into real intelligence?In this episode of Discover Dialogues hosted by Vikramsinh Ghatge Sr. Marketing Director and Editor in Chief at TechDogs, we bring you a deep dive into that question with someone who has lived through every stage of the SAP analytics evolution Lakshman Arthimalla, Director – Data & Analytics at YASH Technologies.From the earliest days of SAP BW and Business Objects to the cloud-native power of SAP Analytics Cloud (SAC) and now SAP Business Data Cloud (BDC), Lakshman has been part of the frontline of enterprise data modernization for over two decades.This conversation is a comprehensive, no-jargon, future-ready guide for CIOs, CTOs, Data Engineering Directors, Analytics Leaders, and Transformation Executives who want to understand exactly how BDC can change the way their organizations operate.About The GuestLakshman Arthimalla is a seasoned data and analytics leader with over two decades of experience shaping how enterprises see, use, and trust their data. As Director – Data & Analytics at YASH Technologies, he has led the evolution from traditional SAP BW systems to modern cloud-native platforms like SAP Business Data Cloud, Datasphere, and SAC.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

How do you speed up justice with AI while protecting civil liberties? In this Discover Dialogues episode, we sit down with Ed Dolman, SVP & Head of EMEA at Cellebrite, to unpack the reality of AI-powered investigations, cloud forensics, and leadership in high-stakes environments.From the shift to mobile/cloud evidence to the ethics of transparency, Ed explains how modern investigations move from isolated clues to connected narratives—and why explainability, governance, and culture are as critical as algorithms and features. Adobe, Brian brings unique insights into how technology, leadership, and innovation intersect.What You’ll Learn:• The new evidence stack: mobile, cloud, endpoints, and cross-platform intelligence• Where AI truly helps—reducing backlogs, surfacing signals, and accelerating time-to-evidence• Guardrails that matter: lawful access, chain-of-custody, auditability, and privacy by design• Misconceptions about digital investigations and how to earn public trust• Leadership lessons from scaling billion-dollar businesses while staying values-driven🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy This Episode Matters:Investigations are going digital at speed. This conversation clarifies what’s possible, what’s responsible, and what leaders must do to uphold trust while improving outcomes.About Ed Dolman:Ed Dolman is a veteran technology executive and revenue strategist with 25+ years of experience, building and scaling high-growth businesses. As SVP & Head of EMEA at Cellebrite, he helps public-sector teams accelerate justice through responsible digital intelligence. Previously, he led growth and partnerships at Tableau (Salesforce), Splunk, VMware, and Symantec, building $100M+ business lines and guiding global teams. Ed’s leadership philosophy centers on trust, authenticity, accountability, and equality.About Discover Dialogues: Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of Discover Dialogues, host Vikramsinh Ghatge, Senior Marketing Director and Editor-in-Chief at TechDogs, sits down with Assaf Keren, Senior Vice President and Chief Security Officer at Qualtrics, to unpack one of the most urgent conversations in today’s digital world — how to build and sustain trust in the age of AI and accelerating consumer expectations.In today’s hyperconnected world, trust has become the most valuable currency for businesses—and it’s getting harder to earn. As artificial intelligence (AI) redefines how we work, shop, and communicate, consumer confidence is under more pressure than ever. According to the Qualtrics 2026 Consumer Trends report, over half of consumers (53%) worry that their personal data will be misused when interacting with a brand’s AI.Key Takeaways:• Transparency is the new currency of trust.• Security must evolve from a backend safeguard to a front-stage feature.• AI adoption without responsible communication erodes confidence.• Leadership in cybersecurity starts with empathy and partnership, not fear.• Mental health is as critical in security as technology itself.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Assaf Keren:Assaf Keren is the Senior Vice President & Chief Security Officer at Qualtrics, where he leads the company’s global security strategy. Previously, he served as CISO at PayPal, founded two cybersecurity startups, and held leadership positions in Israel’s e-Government Division and Verint. His expertise spans security operations, risk management, AI governance, and leadership coaching for the next generation of CISOs.About Discover Dialogues: Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, our host Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief is diving into the core of modern AI infrastructure with Giorgio Ippoliti, Technologist – Field Applications Engineering, EMEA at Sandisk.As AI becomes the foundation of innovation across industries—healthcare, finance, retail, and beyond—the real engine behind its success is often overlooked: data infrastructure. And at the heart of that infrastructure? Flash storage.With over two decades of experience in hardware engineering, SSD architecture, and enterprise-scale deployments, Giorgio brings a unique lens on how the world’s most advanced data centres are evolving to keep up with AI-driven workloads, automation, and real-time computing needs.What You'll Learn in This Episode:• How AI and automation are reshaping expectations from storage systems• The evolution from PCIe Gen3 to Gen6+ and why it’s accelerating faster than ever• The real-world implications of choosing on-prem, colocation, or hyperscale infrastructure• Why most organizations are now shifting toward hybrid data centre models• The rise of High Bandwidth Flash (HBF) and why it could disrupt storage economics in AI• The dual role of a technologist and technology evangelist—and how Giorgio navigates both• Career advice for young engineers looking to grow in enterprise tech and infrastructure🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWho Should Watch This Episode?• CTO, CIO, or IT leader planning infrastructure investments• Cloud architect or systems engineer working on performance optimization• Data centre decision-maker evaluating flash storage adoption• AI product leader or platform builder looking to reduce latency and scale efficiently• Tech enthusiast curious about what powers real-time AI…About Giorgio Ippoliti:Giorgio Ippoliti is a seasoned technologist at Sandisk, With over two decades of experience spanning hardware design, solid-state storage, and data centre architecture, Giorgio has played a key role in helping enterprises across Europe modernize their infrastructure for real-time, AI-driven workloads. From building internet backbone systems at Siemens to driving flash adoption in mission-critical environments, he brings a rare blend of deep technical expertise and industry foresight—translating complex innovation into scalable enterprise outcomes.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.This episode will give you a behind-the-scenes look at what’s changing—and what’s next.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this insightful episode of Discover Dialogues, Nikhil Sonawane, Media Relations Lead at TechDogs is joined by Jason Oeltjen, Vice President of Product Management at Ping Identity. With over 20 years of experience in product management and cybersecurity, Jason discusses the current and future landscape of identity and access management (IAM). This episode is a must-watch for tech enthusiasts, cybersecurity professionals, and product managers looking to stay ahead of the curve in the evolving world of AI, Zero Trust, and passwordless identity.Key Topics Covered in This Episode:• AI in Identity Security: Jason dives deep into how generative AI is reshaping the IAM landscape. From AI-driven threats to AI-enhanced security systems, the conversation explores how AI is both an opportunity and a challenge in identity security.• The Future of Passwordless Authentication: We explore the growing shift toward passwordless solutions. Jason explains the real-world application of WebAuthn, FIDO standards, and the evolution toward biometric authentication that is making passwords obsolete.• Zero Trust Architecture: How can enterprises ensure security without compromising user experience? Jason discusses how Zero Trust principles are evolving and how organizations can adopt a security-first approach without alienating users or slowing productivity.• Leadership in the Age of Digital Transformation: With decades of experience in leadership roles, Jason shares valuable insights on product leadership, fostering innovation in high-pressure environments, and building agile teams. He discusses his personal leadership style, and how he coaches his team to make data-driven decisions while ensuring security is at the forefront.Key Takeaways:• How AI agents can automate tasks but still require human oversight to ensure ethical decision-making.• The practical steps to implementing Zero Trust in your organization without sacrificing user experience.• Jason’s journey in identity security, from startups to leading Ping Identity, and the importance of securing the digital future.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy You Should Watch:This episode isn’t just for tech professionals—it’s also for anyone interested in the future of cybersecurity, digital transformation, and the ongoing shift toward AI-driven solutions. Whether you’re a product leader, a cybersecurity expert, or simply interested in how identity security is evolving, this conversation offers valuable insights into what’s next in the IAM space.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.About Jason Oeltjen:Jason Oeltjen is the Vice President of Product Management at Ping Identity, with over 20 years of experience in product management and enterprise security. Throughout his career, Jason has led product teams at Oracle, RSA, and Intuit, focusing on identity and access management (IAM).At Ping Identity, Jason is driving innovation in identity protection, including advancements in passwordless authentication and Zero Trust frameworks. His leadership is defined by empowering teams to make data-driven decisions while balancing security and user experience.Jason’s career journey began in supply chain software, where he transitioned into identity security after a pivotal career shift. Passionate about building scalable, secure solutions, Jason also enjoys exploring the U.S. national parks, aiming to visit all of them within the next decade.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, Vikramsinh Ghatge, Sr. Director of Marketing and Editor-in-chief speaks with Peeyoosh Pandey, Chief Executive Officer at Hoonartek — a leader whose career spans decades of scaling businesses, transforming delivery models, and shaping governance‑first AI strategies for BFSI and telecom.Over a career spanning more than 25 years, Peeyoosh has worked at TCS, Wipro, and Persistent Systems before taking the helm at Hoonartek. His journey is a masterclass in scaling with clarity, embracing agility, and aligning technology with business intent.This conversation is not about generic leadership advice — it’s about the real-world execution playbook for leaders operating in high‑stakes environments.Key Takeaways:• No governance, no AI. Without a data catalog, data quality, lineage tracking, and compliance readiness, AI will fail.• Leadership clarity drives execution. Confidence and consistent communication cascade throughout the organization.• Experience builds “gravity.” Leadership is forged through execution, not quick tips or theory.Why This Episode Matters:If you are a CXO, transformation lead, or AI strategist, this episode delivers actionable insights into:• Scaling in complex, regulated environments.• Aligning technology to real business outcomes.• Leading AI initiatives with a governance‑first approach.• Building trust and speed through leadership clarity.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubLeadership Clarity:Peeyoosh believes that clarity is a CEO’s most valuable currency. At Hoonartek, he increased transparency by involving leaders at multiple levels in decision-making and openly communicating challenges and opportunities. This clarity drives execution and builds trust—especially critical in smaller, agile organizations where the margin for error is thin.About Peeyoosh Pandey:Peeyoosh Pandey is CEO of Hoonartek, a global systems integrator delivering high‑impact data engineering, lending, and analytics solutions to BFSI and telecom. He’s an active angel investor in AI, fintech, and digital ventures. Known for his clarity‑first leadership style, he blends deep technical expertise with execution‑driven strategy.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com