Full Tech Ahead

In this episode of "Full Tech Ahead," host Amanda Razani speaks with Prashanth Saradesai, Head of AI for Wiss, about how accounting and finance organizations can successfully implement artificial intelligence. Saradesai shares insights from evaluating over 200 AI vendors, noting that many finance teams hesitate to adopt AI because they struggle to prove a clear Return on Investment (ROI). He explains that treating AI as an isolated "point solution" (e.g., merely extracting invoice data) is ineffective; instead, organizations must automate end-to-end workflows to see real value. Furthermore, he emphasizes that in the strict finance sector, "good enough" is unacceptable, making human-in-the-loop processes essential to mitigate AI hallucinations. Finally, he advises companies to refine their internal processes, build strong data foundations, and prioritize change management to ensure a successful AI adoption.Key Quotes: "In finance, 'good enough' is not an answer. You can't say, 'hey, my finances are good enough.' Even one number doesn't work; it flows through your financial reporting.""If leadership has the vision of bringing AI to the organization, but if you are not bringing everybody in the organization... there won't be any value.""Start investing in AI from the perspective of using it for your end-to-end workflow... being AI native, thinking from a standpoint of making all your employees AI fluent, are the North Stars."Takeaways:Focus on End-to-End Workflows: Using AI for a single task like invoice extraction won't drive significant ROI. AI should be implemented to handle the entire workflow—from extraction and matching to approvals, posting entries, and reconciliation.Fix Processes and Data First: The biggest mistake companies make is starting with the technology. Organizations must first clearly define their internal processes, clear bottlenecks, and build a solid, well-organized data foundation before deploying AI.Prioritize Change Management: An AI initiative will fail if the vision stays only at the executive level. Training employees on both the advantages and the limitations (like hallucinations) of AI is crucial for successful, company-wide adoption.Capture Decision "Context": As the industry moves toward autonomous AI agents capable of "computer use," the organizations that will succeed are those building "context graphs"—documenting not just their raw data, but the specific reasons and context behind their past business decisions.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of "Full Tech Ahead," host Amanda Razani interviews Javed Hasan, CEO and Co-Founder of Lineaje. They discuss the critical importance of software supply chain security, emphasizing that 95% of modern software risks come from open-source ingestion. Hasan introduces Lineaje's new product, "UnifAI," which is designed to make AI applications secure by design. He highlights a major industry blind spot: AI has become incredibly easy to build, but it is often not safe to run. UnifAI solves this by helping CISOs discover their AI inventory, derive the correct security policies, and autonomously apply those policies in both low-code and high-code environments. The conversation also explores complex emerging threats such as runtime code generation, "reasoning compromise," and the growing danger of Shadow AI.Key Quotes"95% of the risk in modern software is ingested by using open source. So we make open source safe to use by companies.""AI has become easy to build, but AI is not safe to run. So what UnifAI does, it makes the AI applications secure by design.""Use AI to improve productivity safely."TakeawaysAutomate AI Security Policies: CISOs and developers are overwhelmed by rapidly changing AI regulations. Solutions like Unify streamline this by discovering all AI assets and autonomously applying the correct security policies directly into the development workflow, eliminating the need for manual rule-reading.Beware of "Reasoning Compromise": Hackers are finding new ways to exploit AI without using explicitly bad prompts. By manipulating the context or the "reasoning" of an LLM (e.g., claiming the CEO ordered an action), attackers can bypass built-in controls and extract sensitive data.The Threat of Shadow AI and Autonomous Code: Unauthorized AI tools or rogue agents (Shadow AI) can perform deep, unauthorized actions like sending emails or extracting credentials. Furthermore, AI agents writing code at runtime without human oversight represent a massive new security challenge that traditional policies cannot catch.The Shift to "Security for AI": We are moving past just using AI to make existing security tasks faster ("AI for security"). The industry must now focus on an entirely new domain—"Security for AI"—to protect the newly established AI-centric software infrastructure.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of "Full Tech Ahead," host Amanda Razani interviews Reza Azizian, CEO of Ferveret. They discuss the company's innovative liquid cooling technology for data centers and AI factories, which is inspired by nuclear reactor cooling. Azizian highlights a recent benchmarking study conducted with UCLA, revealing that Ferveret's adaptive cooling solution delivers 35% more compute power from the same power envelope compared to traditional methods. Furthermore, the discussion emphasizes sustainability; while a typical 100MW data center consumes the equivalent of 4,500 Olympic swimming pools of water annually, Ferveret’s closed-loop system consumes essentially zero water. This technological breakthrough aims to make the "AI revolution" environmentally sustainable and enables the deployment of off-grid data centers in hot, arid regions.Key Quotes"We developed liquid cooling technologies for data centers and AI factories, which is inspired by nuclear reactor cooling.""...in a 100 megawatt datacenter, that can translate into almost 230 million of more revenue per year, which is quite significant.""A typical 100 megawatt data center can consume up to 4500 Olympic swimming pools of water per year for cooling... our solution basically works with a closed loop. So the water consumption is basically almost zero.""We are here to help to make the AI revolution sustainable."TakeawaysMassive Efficiency Gains: A recent UCLA study proved that Ferveret's cooling solution provides 15% more compute at the server level and a total of 35% more compute at the facility level using the exact same power contract.Zero Water Waste: Traditional data centers rely on evaporative cooling, wasting massive amounts of water. Ferveret utilizes a sealed, closed-loop system that doesn't evaporate water, drastically reducing the environmental footprint.Unlocking New Locations: Because the system operates efficiently without consuming water, it allows companies to build data centers in drought-prone, highly regulated areas (like Arizona or Nevada).Off-Grid Potential: The efficiency of this cooling technology makes it financially and operationally viable to pair data centers entirely with solar power, creating truly sustainable, off-the-grid facilities.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of "Full Tech Ahead," Amanda Razani interviews Mery Zadeh, SVP of AI Governance and Risk Consulting at Lumenova AI. The conversation centers on the complexities of building AI governance teams and navigating the "three-language problem" where technical, regulatory, and business teams struggle to communicate. Zadeh advises companies to stop searching for "unicorn" candidates who possess all these skills and instead focus on cross-training and rotation programs. Furthermore, as AI evolves from Generative AI to Agentic AI (systems that take independent actions), she emphasizes the critical need to shift from annual audits to real-time, continuous monitoring. Ultimately, she notes that the most successful AI governance frameworks are practical ones that developers actually use, rather than theoretically perfect models.Key Quotes"We're turning AI risk to possibilities.""We should stop looking for a Unicorn... start on career paths, start on education.""You can't govern what you can't see."TakeawaysSolve the "Three-Language Problem": Effective AI governance requires fluency in business, technology, and compliance. Instead of hunting for an impossible candidate who knows it all, organizations should implement rotation programs (e.g., auditors spending time with tech teams) to cross-train their current workforce.Integrate Teams Across the AI Lifecycle: From the initial business intake and legal risk assessment to the developer build phase, cross-functional teams must collaborate continuously to ensure the AI system is technically sound, compliant, and fit for its intended use.Shift to Continuous Monitoring: As the industry moves toward Agentic AI—where AI agents execute tasks like booking or canceling meetings—traditional annual audits are obsolete. Organizations must implement real-time monitoring and strict permission controls to catch and correct issues immediately. Prioritize Practical Governance: The most effective AI governance isn't a flawless, overly complex policy; it's a practical framework with clear controls and evaluations that developers understand, see value in, and actually follow.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of "Full Tech Ahead," Amanda Razani interviews Ryan Johnson, CPO of CallRail, about how Artificial Intelligence can benefit small and medium-sized businesses (SMBs). Johnson explains CallRail's evolution into a conversation intelligence platform and advises business owners to use AI to solve long-standing "legacy problems"—such as managing after-hours calls or handling peak call volumes—rather than inventing new problems to solve. He emphasizes the importance of starting small, setting realistic expectations, and securing leadership buy-in to avoid the high failure rate of AI projects. Finally, the discussion touches on the future of AI, including the rise of agentic AI and its potential impact on search engines and SEO.Key Quotes"Where can AI solve the gaps that you've probably had for many, many years?""The most important thing about AI is it's not this like light switch that this happens. You actually have to invest time into it from a lot of different angles.""Start small, start somewhere, don't be afraid of it and, and just learn."TakeawaysTarget Legacy Problems: AI is highly effective at filling gaps in daily operations, such as handling peak-hour calls, answering queries after traditional business hours, and conducting initial lead qualification.Start Small and Be Realistic: Avoid overwhelming implementations. Begin with a narrow, focused use case to get comfortable. Set realistic expectations, as AI is not magic and often requires fine-tuning to achieve high accuracy.Leadership Buy-in is Crucial: To avoid the common pitfall of AI project failures, businesses must define clear, measurable goals and ensure full support from the executive team and business owners before implementation.The Future is Agentic AI: The next major evolution will involve AI agents communicating with one another to execute complex tasks, which will likely redefine consumer search experiences and the future of SEO.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Join us as we welcome Karen Cohen, VP of Product Management at Apiiro, who shares her expertise on securing enterprise software in the age of AI. Discover how Apiiro helps companies innovate rapidly while maintaining robust risk controls, and hear groundbreaking research findings on how AI is transforming coding practices—improving velocity yet introducing new security challenges. Karen reveals practical advice for leaders, the importance of automated guardrails, and her vision for the future of AI-driven development. Don’t miss this insightful conversation packed with real-world strategies for thriving in today's tech landscape! SummaryKaren Cohen, VP of Product Management at Apiiro, discussed their application security posture management platform, which helps large enterprises analyze code, cut through noise, and prevent risks with automated guardrails. A recent research report revealed that AI-assisted coding increased velocity by four times but also introduced risks ten times higher, with new types of vulnerabilities like privilege escalation and exposed secrets. Cohen emphasized the need for better inventory, standards, and automated governance. She envisioned future AI agents as platforms with specialized plugins for various security needs, tailored to specific company contexts. Key Quotes:"Velocity gets about four times faster with AI, but unfortunately, it also introduces ten times the risk.""The types of risks that AI introduces are very different—it's not just about syntax errors anymore, but privilege escalation and exposed secrets.""You need automated guardrails and governance to safely scale AI innovation in your company.""If you don't know what you're securing, you can't protect your crown jewels—inventory is critical.""The future of AI in software development lies in specialized plugins: each an expert in its field, fine-tuning results for unique company contexts." Takeaways:AI dramatically accelerates software development but brings significant new security risks.Enterprises struggle to manage the evolving attack surface as AI introduces more complex vulnerabilities.Automated detection and governance are necessary to keep up with the scale and pace of AI-generated code.Effective AI integration starts with knowing your assets and implementing company-wide security standards.The next wave in AI development will see customizable, context-aware agents and plugins driving safer, smarter coding practices.Links/ResourceWebsite:  https://apiiro.com/ LinkedIn:  https://www.linkedin.com/in/karenzellnercohen/?originalSubdomain=nl  Podcast: Full Tech Ahead — Hosted by Amanda Razani Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode, host Amanda Razani sits down with Jeremy Ung, Chief Technology Officer of Black Line, to explore how AI is transforming the financial world. Jeremy shares insights from his work leading innovation in finance automation, delving into critical topics like building trustworthy AI, ensuring data quality, and setting solid audit trails to foster confidence in AI-driven systems. Discover practical advice for financial leaders on embracing change, training both humans and AI agents, and setting your organization up for safe and impactful AI adoption in a rapidly evolving digital landscape. SummaryJeremy Ung, CTO of Black Line, discussed the importance of AI in finance and the trust barriers it faces. He emphasized the critical role of data quality, noting that Black Line's Studio 360 product curates and structures data for AI models. Ung highlighted the need for auditability in AI systems, ensuring transparency and reliability. He advised financial leaders to establish clear processes and change management strategies for AI adoption. Ung also stressed the importance of leveraging existing organizational playbooks and investing in training to integrate AI effectively, aiming for a seamless collaboration between humans and AI agents. Key Quotes:"Data is at the heart of all AI models—if you don’t have the right data, AI can’t produce the right answers.""One of the things is auditability around AI—being able to explain not just to the user, but to an auditor, how outcomes were reached.""Trustworthy AI means actions are recorded, agents have clear permissions and roles, and you can audit it just like another human.""Think about onboarding AI agents the same way you’d onboard a new college graduate at your company.""The change is happening and it’s exciting and scary at the same time, but the way to control your destiny is by leveraging the data you have." Takeaways:High-quality, centralized data is fundamental to building effective and reliable AI in finance.Auditability and transparency are essential for establishing stakeholder trust in AI systems.AI agents should operate with the same oversight, roles, and controls as human employees.Successful AI adoption requires both structured onboarding for AI and comprehensive change management for staff.Clear organizational playbooks and investment in learning ensure safe and substantial value from AI integration. Timestamps:0:00 Introduction & Guest Background0:35 Black Line’s Role in Finance Automation1:02 AI in Finance—Opportunities & Trust Barriers2:04 The Importance of Data Quality for Reliable AI3:39 Developing Safeguards and Auditability in AI5:21 Creating Trustworthy AI with Audit Trails7:23 Advice for Financial Leaders on AI Adoption9:32 Laying a Foundation for Change Management9:39 Key Takeaways & Future of AI in Finance10:27 Closing Remarks & Audience Engagement Links/ResourceWebsite:  https://www.blackline.com/ LinkedIn:  https://www.linkedin.com/in/jeremyung/  Podcast: Full Tech Ahead — Hosted by Amanda Razani Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Join us as we sit down with Eran Ofir, CEO of Imagry, to explore the future of transportation powered by cutting-edge, mapless AI technology. Discover how Eran and his team are transforming autonomous vehicles with generative autonomy, driving real-world change in fleets worldwide, overcoming regulatory hurdles, lowering costs, and paving the way for safer, smarter roads. Get ready for an eye-opening journey into the next era of mobility with insights from a true industry leader!SummaryEran Ofir, CEO of Imagry, discussed the company's generative autonomy technology for autonomous vehicles. Imagry's software, Cortex, uses AI for perception, motion planning, and control, avoiding HD maps and relying solely on cameras. The company has been operating autonomous vehicles since 2019 in various countries and recently expanded into autonomous buses, addressing a 20% global shortage of bus drivers. Imagry's technology enables driverless buses at a cost of $70,000 per vehicle, a third of the industry average. The company also plans to deploy 50 Robo shuttles in Riga, Latvia. Regulatory challenges and public acceptance are significant hurdles for widespread adoption.Key Quotes:“We do generative autonomy, which means we do autonomous driving for physical AI—making machines move on the road as humans do.”“Our technology is built to act like a human: seeing, understanding, and acting—all powered by AI, with no dependence on HD maps or LiDAR.”“Regulation is currently the main factor that is facing the industry; every country has its own framework, and the process is long and rigorous.”“Our system responds to events happening on the road in under 100 milliseconds—at least three times faster than even the best human drivers.”“It will take a decade until we'll see mass volumes of everyday vehicles with full autonomous capabilities, but we're paving the way today.”Takeaways:Imagry's AI-driven, mapless approach is redefining how autonomous vehicles perceive and navigate real-world environments.Generative autonomy allows vehicles to continuously learn and adapt without relying on HD maps or sensor fusion.Regulatory and safety standards remain significant challenges for autonomous vehicle deployment across different countries.Imagry has become a leader in autonomous bus technology, addressing global driver shortages and expanding into new markets.Widespread adoption of fully autonomous vehicles is expected to take at least a decade, with public acceptance and regulation as key factors.Timestamps:0:00 Introduction & Guest Background0:47 Imagry’s Mission & Generative Autonomy Explained2:45 Why Traditional Autonomous Driving Fell Short5:31 AI Inspiration and Human-Like Decision-Making7:35 Advances in Edge Computing Unlocking Progress8:53 Imagry’s Vision-Only, Mapless Approach12:26 Global Deployment & The Autonomous Bus Revolution15:00 Cost, Fleet Integration, and Robo Shuttle Rollout18:18 Regulation & Rigorous Safety Testing22:29 Public Acceptance and Proving Superior Safety25:00 The Decade Ahead for Autonomous Vehicles28:09 Closing Thoughts & Future of MobilityLinks/ResourceFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Discover how AI innovation is powering the future! Join host Amanda Razani as she chats with Ferric CEO Noah Sturcken about the breakthrough technology behind miniaturized voltage regulators—tiny chips delivering major energy savings and performance boosts for today’s data centers and AI processors. Learn how Ferric’s cutting-edge solutions are slashing costs, improving sustainability, and driving the next generation of high-performance tech. Don’t miss these insights into the challenges and exciting opportunities at the core of our digital world!SummaryNoah Sturcken, CEO of Ferric, discussed the company's integrated voltage regulators, which miniaturize power converters 10-50 times smaller than conventional ones. These innovations are crucial for AI processors, which consume more power and require efficient power delivery. Ferric's technology, using ferromagnetic composite materials, enables significant power savings, potentially reducing static power consumption by 10-15% and active power management by up to 40%. This could lead to millions in annual electricity savings for data centers. Sturcken emphasized the importance of integrated voltage regulators in addressing AI's power demands and improving performance and cost efficiency.Key Quotes:"Our company makes integrated voltage regulators—miniaturized power converters placed closer to processors, critical for powering today’s AI.""AI processors’ power demands are skyrocketing, making efficient power delivery the main bottleneck for better performance.""We’ve developed new ferromagnetic composite materials that let us dramatically shrink power inductors and pack incredible performance into tiny chips.""With our products, customers save as much as 10% in static power—translating to tens of millions of dollars in data center electricity savings each year.""The intense power needs of AI are best addressed with integrated voltage regulators, bringing cleaner, more efficient power supplies right to the source.”TakeawaysFerric’s miniaturized voltage regulators are redefining efficient power delivery for cutting-edge AI processors.Managing the rapidly growing power demands of AI is critical to unlocking better performance and lower operational costs.Innovative materials enable Ferric to shrink power converter size while boosting performance and energy efficiency.Even small improvements in data center power management can save millions and improve environmental sustainability.Close industry collaboration is essential to integrate new technologies and realize the full benefits of next-generation computing.Timestamps0:00:00 – Introduction & Guest Welcome  0:00:20 – Ferric’s Mission & AI Power Challenges  0:03:14 – Miniaturized Chip Innovation  0:04:42 – Impact on Data Centers & Energy Savings  0:06:10 – Key Issues for AI Industry Leaders  0:08:04 – Future Goals & Collaboration  0:09:13 – Sustainability & Regulations  0:10:49 – Key Takeaway & Final ThoughtsLinks/ResourceWebsite: Ferric - https://www.ferric.com/ LinkedIn:  Noah Sturcken - Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Join Arthur Firstov, Chief Business Officer at Mercuryo, as he unpacks the evolution of crypto payments, the rapid rise of stablecoins, and the impact of regulatory compliance on the fintech landscape. Gain insight into how Web3 is converging with traditional finance, and learn key lessons from building global payment infrastructure in the ever-changing world of digital assets.SummaryArthur Firstov, Chief Business Officer of Mercuryo, discussed the evolution of cryptocurrency payments, highlighting the shift from web 2.0 to web 3.0 and the rise of stablecoins, which grew to nearly $100 billion in 2025. He noted the increasing adoption of stablecoins in e-commerce, citing Shopify's partnership with Solana and Circle. Firstov emphasized the challenges of regulatory compliance and the need for interoperable payment systems. He also predicted that traditional finance will integrate stablecoins, enabling businesses to manage treasuries and earn yield. Mercuryo supports over 11 million users and partners, focusing on agility and compliance.Key Quotes:"Stablecoin payments have nearly reached $100 billion this year, showing just how far crypto utility has come." "The main challenge now is the fragmentation of payment networks and blockchain infrastructure, making seamless user experience critical.""Compliance is no longer a barrier, but an innovation advantage, as regulating enables new payment rails and products." "Every FinTech and payment company will soon be a stablecoin company, with traditional institutions adopting digital assets for settlements and treasuries.""Now is the perfect moment to join the crypto space—learn the fundamentals, connect with the community, and seize the real-world opportunities emerging every day.”Takeaways:Stablecoins have driven massive growth in global crypto payments, rapidly increasing everyday utility and adoption.Regulatory compliance has shifted from a hurdle to a competitive advantage for fintech and crypto companies.Seamless integration between Web3 platforms and traditional finance remains a key challenge due to fragmentation and diverse user needs.Partnerships, agility, and product innovation are essential for building scalable, interoperable crypto payment infrastructure.As the industry matures, professionals and newcomers should embrace education, networking, and adaptability to succeed in the evolving digital asset landscape.Timestamps:0:00  Introduction & Guest Background  0:20  What Is Mercuryo? Payment Network Explained  1:11  Evolution of Crypto Payments  2:42  Crypto Adoption in E-commerce  3:40  Bridging Web3 and Traditional Finance  5:51  Lessons from Building Global Infrastructure  8:12  Regulatory Compliance & Building Trust  9:58  Insights from Token2049 Singapore  12:25  Is It Too Late to Get Into Crypto?  16:26  The Future of Digital Banking & Stablecoins  19:16  Key Takeaway & Advice for the Audience  20:44  Closing RemarksLinks/ResourceWebsite: https://mercuryo.io/ LinkedIn:  https://www.linkedin.comFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of Full Tech Ahead, host Amanda Razani speaks with Dr. Jeff Dello Russo, a pioneering ophthalmologist and Chief Medical Director of multiple laser vision centers across the New York tri-state area. With more than two decades of experience, Dr. Dello Russo discusses how artificial intelligence is transforming refractive surgery—making vision correction more precise, efficient, and capable of delivering results beyond what was once thought possible.SummaryDr. Dello Russo shares how his practice has integrated a groundbreaking AI-powered LASIK system that combines laser precision with intelligent computation. Using ray tracing and virtual eye modeling, the system captures tens of thousands of light measurements to create a digital clone of each patient’s eye. It then runs thousands of simulated treatments on this digital twin to determine the optimal correction—resulting in 100% of patients in clinical trials achieving 20/20 vision or better, with many reaching 20/15 or even 20/10 visual acuity. This innovation eliminates much of the guesswork and patient subjectivity found in traditional eye exams, allowing for consistent, reproducible, and highly customized results.Looking ahead, Dr. Dello Russo foresees AI expanding beyond LASIK into cataract surgery and other ocular procedures, benefiting patients of all ages. He explains that AI-driven diagnostics and predictive modeling will soon help surgeons identify the perfect intraocular lenses and refine post-surgery outcomes. As computing power increases, he envisions an era where AI supports lifelong eye health—from youthful vision correction to age-related treatments—helping people see better and longer than ever before.Key Quotes:“It’s kind of like creating a virtual clone of the eye—and testing thousands of treatments to find the perfect one.”“In clinical trials, 100% of patients reached 20/20 vision, and many went beyond—to 20/15 or even 20/10.”“AI removes the guesswork. It’s not about replacing doctors—it’s about enhancing precision and confidence.”TakeawaysAI-powered LASIK creates a digital twin of the eye to personalize and perfect vision correction.Every patient in the latest study achieved 20/20 vision or better.The technology minimizes subjectivity from traditional “better one, better two” testing.AI integration in cataract surgery is expanding precision care for older patients.Enhanced diagnostic modeling may extend the longevity of results.Timestamps[00:00] Introduction — Amanda Razani welcomes Dr. Jeff Dello Russo[00:25] Jeff’s background and decades of innovation in refractive surgery[01:48] How AI and ray tracing create a virtual model of the eye[03:30] Achieving 100% 20/20 vision and beyond through AI-driven optimization[06:30] Comparing pre-AI LASIK to today’s precision and consistency[08:39] Reducing subjectivity and enhancing efficiency in diagnostics[10:01] Availability and rollout of AI-powered LASIK systems[11:30] How AI is transforming cataract surgery and the broader field of ophthalmology[14:37] Can AI improve long-term results and visual permanence?[16:00] Final takeaway: AI as a partner in lifelong eye healthLinks/ResourceWebsite: Dello Russo Laser Vision Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Discover the hidden threat undermining successful AI adoption in enterprises: risk silos. In this episode, privacy and AI governance expert Cassandra Maldini joins Amanda Razani to reveal how fragmented risk management exposes businesses to compliance failures, wasted resources, and missed innovation. Learn why breaking down silos with cross-functional teamwork is essential for effective AI governance and long-term enterprise success. Tune in for actionable strategies and leadership insights to future-proof your organization in the fast-evolving world of AI.SummaryCassandra Maldini, Vice President of Privacy and AI Governance at Security.AI, discusses the fragmentation and risk silos in AI governance across different departments. She emphasizes the need for cross-functional collaboration among CEOs, CISOs, CPOs, and other executives to address these issues. Maldini highlights the inefficiencies and redundancies caused by silos, such as redundant meetings and tools. She argues that new regulations like the EU AI Act and California's act necessitate cross-functional efforts to achieve compliance and reduce risk. Maldini advocates for leadership to drive this collaboration and improve AI governance efficiency.Key Quotes:“AI governance means different things to different teams.”“The biggest risk is not uniting all the pieces.”“Silos waste money and resources.”“Collaboration gets products to market faster.”“Regulations require cross-functional efforts.”“Get the right people in the room—it’s a team project.”TakeawaysAI governance is fragmented across departments, creating risk silos.Cross-functional collaboration is crucial to overcome siloed thinking.Silos cause redundancy, waste resources, and slow innovation.Strong leadership from the top is needed to unite risk teams.New regulations demand integrated, cross-team compliance.Bringing all key stakeholders together is the key first step for effective AI governance.Timestamps[0:00:02] Introduction. Amanda welcomes Cassandra Maldini and introduces the podcast and guest.[0:00:28] Cassandra’s background. Intersection of law, compliance, and AI governance explained.[0:02:03] Main topic. Introduction to AI risk silos and fragmentation across departments.[0:02:28] Defining AI governance. Different teams have different definitions and approaches, leading to silos.[0:06:17] Solutions. Emphasis on courageous leadership and cross-functional collaboration.[0:09:54] Business challenges. Silos waste resources and create redundant efforts in compliance.[0:13:41] Regulatory impact. New laws require integrated teamwork and evolving executive roles.[0:16:55] Key takeaway. Get all stakeholders involved early and treat AI governance as a collaborative group effort.[0:17:49] Conclusion. Thanks to the guest and call to action for listeners.Links/ResourceWebsite: Cassandra Maldini - https://securiti.ai/author/cassandra-maldini/ LinkedIn:  Cassandra Maldini - https://www.linkedin.com/in/cassandra-maldini/ Podcast: Full Tech Ahead — Hosted by Amanda RFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI is redefining warehouse operations by merging robotics, data, and intelligent automation. In this episode of Full Tech Ahead, host Amanda Razani talks with Andrei Danescu, CEO of Dexory, about how autonomous robots are revolutionizing logistics. Danescu explains how real-time data capture and AI-powered digital twins are transforming supply chain visibility and driving measurable ROI.SummaryAndrei Danescu, CEO of Dexory, shares how his company is using the world’s tallest autonomous robots to digitize warehouses and optimize logistics operations. Dexory’s platform integrates robotics, data intelligence, and AI to provide continuous visibility into warehouse environments, replacing assumptions and manual checks with real-time insights. Danescu explains that the technology allows companies to transition from sparse, outdated data to a continuous stream of operational information—driving accuracy, efficiency, and smarter decision-making.He highlights how Dexory’s robots can digitize a million square feet in under a day, giving customers a near-instant snapshot of every pallet, rack, and product location. This shift enables faster optimization, reduced errors, and major cost savings. In one deployment, a client saved over £200,000 within the first four weeks. Danescu also discusses how AI helps users not just collect data but act on it—automating analysis and suggesting improvements. Looking ahead, he sees a future of symbiotic collaboration between humans and intelligent systems, where technology amplifies human capabilities rather than replaces them.Key Quotes:“Transitioning operations from sparse data to continuous visibility is a game changer.”“You can digitize a million square feet in less than a day—something unheard of in the industry.”“AI becomes truly powerful when it not only analyzes data but helps optimize decisions.”“The future is about collaboration—humans and machines working smarter together.”“It’s an incredibly exciting time to be alive; we’re on the verge of major breakthroughs.”TakeawaysAutonomous robots and AI enable real-time visibility into warehouse operations.Digitization turns assumptions into actionable insights that improve efficiency.AI can guide decision-making by suggesting optimizations automatically.Warehouse operations see rapid ROI, often within weeks of deployment.Technology is shifting logistics toward a data-driven, human-machine collaboration.The pace of innovation is accelerating—embracing it is key to staying competitive.Timestamps[00:00] Introduction — Amanda Razani welcomes Andrei Danescu of Dexory[00:23] Andrei’s technical background and Dexory’s mission in logistics intelligence[01:07] How autonomous robots create digital twins of warehouses[01:55] The challenge of building AI for industry versus consumer data[03:21] Real-world use cases and the impact of data-driven operations[05:00] Continuous visibility as the foundation for smarter decision-making[07:11] Measuring ROI and customer results, including a £200K savings[08:54] The future of intelligent automation and accelerated adoption[10:42] How AI and robotics enhance, not replace, human work[11:13] Final takeaway: embracing rapid technFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

As digital transformation accelerates and hybrid environments scale, enterprise networks face unprecedented demand. In this episode, Andrew Wertkin, Chief Strategy Officer at BlueCat, joins Amanda Razani to break down how network architectures must evolve to support rapid change, rising data volumes, and increasing cybersecurity threats. He explains why observability is now foundational, how SD-WAN and edge computing are shifting performance expectations, and why automation and self-healing networks will define the next era of operations. Listeners will gain insights into modernizing infrastructure, strengthening security, and preparing for AI-driven demands.SummaryAndrew Wertkin, Chief Strategy Officer at BlueCat, discusses how enterprise networks are being reshaped by cloud adoption, digital transformation, and rapid innovation. He explains the shift from slow, planned change windows to continuous, DevOps-style network updates that require flexibility, delegated control, and strong guardrails. Wertkin emphasizes the importance of observability for understanding the impact of frequent changes and preventing outages. He highlights challenges created by siloed tools, rising data demands, AI-driven threats, and the need for updated quality-of-service strategies. Looking ahead, he predicts a move toward automated, self-healing networks that can scale, remediate issues, and adapt automatically to business needs.Key Quotes:“Rapid innovation breaks what normal looked like.”“If you can’t understand the impact of change, you’re going to create an outage.”“The pipes are being filled up—bandwidth can’t be taken for granted anymore.”“Networks will become self healing and able to scale without human intervention.”“Don’t change something if you can’t see it.”TakeawaysEnterprise networks must evolve to support continuous, rapid change.Observability is essential for managing risk, performance, and the impact of modifications.AI introduces both new threats and new tools for defense.SD-WAN and edge computing improve availability but create new bandwidth and QoS challenges.The future points to automated, self-healing networks with less manual intervention.Security and networking teams must shift from blockers to business enablers.Timestamps00:02 – Introduction & Guest Bio01:03 – Evolution of Network Architecture04:18 – Observability & Network Management07:47 – Network Security & AI11:53 – SD-WAN, Edge Computing & Performance15:01 – The Future of Network Operations17:06 – Key Takeaway & ClosingLinks/ResourceWebsite: BlueCat - https://securiti.ai/author/cassandra-maldini/ LinkedIn:  Andrew Wertkin - https://www.linkedin.com/in/awertkin/ Podcast: Full Tech Ahead — Hosted by Amanda RazaniFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this dynamic episode, Qlik CTO Sam Pierson reveals how smart, data-driven decisions and a rock-solid data strategy pave the way for AI success. He explains the rise of agentic AI and what it means for your business, and shares how to set clear goals, measure ROI, and sidestep common tech missteps. Pierson also shares essential tips on leveraging the low-code and AI-assisted development boom, plus the career skills you need to thrive in tomorrow’s rapidly evolving technology landscape.SummarySam Pierson brings his perspective as Qlik’s CTO to the table, diving into the transformative journey businesses face when they harness AI alongside a strategic approach to data. He shares the practical realities of how companies are adopting task-focused AI agents, why well-maintained data is critical for real results, and the ways Qlik is empowering organizations to blend flexibility with robust analytics across their tech ecosystem. The conversation spotlights overcoming past challenges in data management, setting clear goals for ROI, and navigating the surge in AI-assisted and low-code development. Throughout, Sam underscores that genuine innovation starts with clarity and experimentation, always anchored by a solid data strategy at the foundation.Key Quotes:"The real breakthrough with AI comes when your agents can safely leverage your company’s own proprietary data.""Unlike the past, adopting modern AI systems is easier than ever because you can access powerful models simply through an API.""Every successful technology project needs to begin with clear metrics to guide what you want to achieve and how you’ll measure it.""AI-assisted development tools now make it possible to rapidly turn ideas into real products, changing the pace of innovation.""While AI is transforming everything, the success of these initiatives always comes back to building from a strong data foundation."TakeawaysEnsuring your proprietary data is well-structured is the foundation of successful AI initiatives.Modern AI solutions are easier to implement than ever before, thanks to accessible APIs and cloud platforms.Setting clear, measurable goals and metrics is essential for tracking the success and return on investment of new technologies.Companies should embrace both established vendors and innovative development tools to remain adaptable and competitive.Experimentation, piloting projects, and developing a deliberate data strategy are critical for technologists aiming to thrive in a rapidly evolving landscape.Timestamps00:00:00 – Introduction and Guest Background00:01:17 – The Shift Toward Task-Specific AI Agents00:03:20 – Data as the Key to AI Success00:05:10 – Overcoming Historical Technology Hurdles00:06:02 – Qlik’s Approach to Data Solutions00:07:58 – Measuring ROI and Setting Metrics00:09:43 – The Rise of Vibe Coded Applications00:12:21 – Gaps and Opportunities in Tech Careers00:13:45 – Key Takeaways and Closing RemarksLinks/ResourceWebsite: Qlick - https://www.qlik.com/us LinkedIn:  Sam Pierson - https://www.linkedin.com/in/samuelpierson/ Podcast: Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Can AI really revolutionize insurance? Amanda Razani interviews Sonny Patel, CPO and CTO of Socotra, to explore how artificial intelligence is transforming the industry. Patel explains how Socotra’s policy administration system leverages AI to streamline policy management, boost efficiency, and support better decision‑making. She highlights AI’s role in document intake and data summarization, helping underwriters make smarter choices, and notes the industry’s shift from building custom AI models to using pre‑built tools like ChatGPT and AWS Bedrock for enhanced security. Patel also emphasizes the importance of explainability in AI and encourages professionals to stay curious and experiment with emerging technologies to drive innovation in insurance.SummaryAmanda Razani interviews Sonny Patel, the Chief Product Officer and Chief Technology Officer of Socotra, focusing on how artificial intelligence is transforming the insurance industry. Sonny shares her professional journey, highlighting her work at top technology companies such as Microsoft and Amazon, where she contributed to projects like Alexa’s voice recognition. She explains that Socotra is utilizing artificial intelligence to make insurance processes more efficient, particularly in managing document intake and providing clear insights to underwriters. Sonny emphasizes that artificial intelligence can help carriers make decisions that match their specific guidelines, while still keeping human expertise involved in the process.The conversation further explores how the skills required for implementing artificial intelligence have evolved as tools become increasingly accessible for everyday users. Sonny mentions the shift from building foundational machine learning models to creating user-friendly applications, making artificial intelligence easier to adopt in business operations. Discussions around regulation and security underline the importance of explainable artificial intelligence and the need for guardrails to ensure data privacy and maintain trust. In closing, Sonny encourages professionals to remain curious and experiment with artificial intelligence, recognizing its potential to improve job satisfaction and efficiency, even if the technology is not yet perfect.Key Quotes:"I would say we should just get very curious about what this technology can enable us to do.""What I feel is the most practical right in front of us is, I think there is a lot of capabilities available to us today that, in my opinion, not everybody is utilizing to their fullest."TakeawaysAdvancements in artificial intelligence are making insurance processes more efficient by automating complex tasks like document intake and decision support for underwriters.Leveraging AI technology allows insurance carriers to make choices that align more closely with their specific risk guidelines and maintain human oversight in critical decisions.Timestamps0:00:02 Introduction and Guest Background0:01:36 How AI Is Impacting the Insurance Industry0:04:34 AI’s Influence on Insurance Approval Decisions0:06:53 Skills Needed and Accessibility of AI Tools0:12:00 Regulations and Data Security for AI0:15:05 The Future of AI and Industry Speculation0:18:42 Key Takeaways and FinalFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

As drones move from niche gadgets to everyday infrastructure, they’re also becoming a new kind of storytelling canvas. In this episode, Jamar Williams, CEO and founder of Promo Drone, joins host Amanda Razani to share how his team is turning drones into flying video messaging boards for fan engagement, advertising, and public safety. Jamar explains how transparent aerial messaging can shift public perception of drones, how his systems are used at major events, and why law enforcement and emergency responders are paying attention. He also dives into regulations, cost and ROI, and his journey from music production and videography into building a drone-tech company.SummaryJamar Williams, founder and CEO of Promo Drone, is transforming drones from mysterious flying cameras into community-friendly communication tools by outfitting them with LED video displays—essentially “flying television screens”—that deliver targeted messages at live events, festivals, stadiums, and public safety scenarios. Based in San Diego, Promo Drone makes the purpose of each drone clear, whether it's showcasing promotions, fan experiences, QR codes, or urgent alerts like road closures and missing persons notices. Williams explains how the platform operates within FAA Part 107 regulations, including weight limits and crowd safety, and shares deployment strategies like offset “drone zones” at venues. He also explores the broader drone entertainment landscape, highlighting environmental benefits over fireworks and detailing how Promo Drone is building a turnkey advertising network that links brands, events, and drone operators. He concludes with advice for aspiring drone entrepreneurs, emphasizing creativity, problem-solving, and the importance of building something that endures.Key Quotes:“We wanted to make drones more community friendly by being more transparent, more visible, and clearly understood.”“It’s literally a flying video screen—like a mobile, hyper-targeted digital billboard in the sky.”“People have fear of what they don’t know or why a drone is there.”TakeawaysDrones become far more community friendly when they display transparent, visible messages that clearly show why they’re in the air.Flying LED screens create new layers of fan engagement through dynamic, interactive, and hyper-targeted content.The same drone messaging technology used for ads can be deployed for public safety alerts and emergency communication.FAA Part 107 rules shape how Promo Drone designs and deploys its systems, especially around weight limits and crowd safety.Timestamps00:02 – Introduction & Guest Bio01:05 – What Is Promo Drone?03:40 – From Ads to Public Safety05:50 – How Flying Digital Screens Work07:25 – FAA Part 107 & Drone Specs08:50 – Safety, Crowds & Venue Operations10:15 – Jamar’s Journey into Drones11:45 – The Drone Entertainment Landscape13:50 – Cost, Value & Social Media Buzz15:40 – Environmental Impact of Drones16:50 – Getting Into the Drone Business19:05 – Key Takeaway & Final Message19:50 – Closing & Call to ActionLinks/ResourceWebsite: Promo Drone - https://securiti.ai/author/Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI and data are converging faster than ever before. In this episode of Full Tech Ahead, host Amanda Razani sits down with Szymon Kulec, Lead Developer Advocate at RavenDB, to discuss how the future of data management and AI integration is unfolding. Kulec explains how RavenDB’s native AI agents, vector search, and secure data architecture empower developers to move faster while maintaining compliance and governance.SummarySzymon Kulec brings his experience as a computer scientist and developer advocate to explore how RavenDB, a NoSQL distributed database, is bridging the gap between data systems and artificial intelligence. He explains that RavenDB is designed to make data handling “as boring as possible” for developers — reliable, seamless, and automatically managed.The conversation dives into RavenDB’s native AI agents, which operate close to the data for both performance and security. These agents integrate safely with AI models through the Model Context Protocol (MCP), ensuring data is queried efficiently and responsibly. Sensitive information, such as payroll or health data, can be tightly restricted to prevent prompt injection, data leaks, or jailbreaks.Kulec highlights the importance of real-time data in powering modern AI applications. With tools such as vector search, semantic queries, and RAG (retrieval-augmented generation), RavenDB enables AI models to access the most relevant, up-to-date data without manual intervention. This balance of openness, safety, and accessibility gives organizations the agility to maintain control and comply.Looking to the future, he predicts that the integration between databases and AI will become even more automated. Developers will rely less on writing extensive glue code and more on configurable systems that “just work.” As AI becomes embedded into every layer of data infrastructure, tools like RavenDB will help enterprises remain efficient, secure, and compliant.Quotes“We put the agents as close to data as possible and as safe as possible.”“With RavenDB, if you forbid it to query certain data, it will be strictly forbidden. The contract will not be breached.”“RavenDB tries to be as boring as possible for you as the end user, which is a good thing — it just works.”TakeawaysRavenDB is a NoSQL database offering powerful indexing, sharding, and distributed data capabilities with integrated AI features.Native AI agents within RavenDB interact directly and safely with data, ensuring compliance with privacy and security requirements.Using open standards like the Model Context Protocol enables controlled AI behavior, reducing risks of data breaches or prompt injections.Timestamps[00:00] Introduction — Amanda Razani and Szymon Kulec[00:28] Background and overview of RavenDB[01:25] What makes NoSQL different from traditional SQL databases[02:33] How RavenDB integrates native AI agents[04:50] The importance of real-time data and retrieval-augmented generation[06:59] Balancing developer speed with data safety and compliance[09:22] The evolving relationship between AI and databases[11:14] Real-world example: building an HR app in under 700 lines of code[12:00] Key takeaway: use tools wisely and automate whenever possibleLinks / ResourcesWebsite: RavenDB - Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI chatbots are reshaping customer interactions, but they also introduce new risks. In this episode of Full Tech Ahead, host Amanda Razani sits down with Andre Scott, Developer Advocate at Coralogix, to discuss how businesses can protect themselves from chatbot failures, misinformation, and data leaks.Coralogix provides a full-stack observability and monitoring platform that includes logs, metrics, traces, APM, and AI observability. Scott explains how organizations can instrument their AI systems for transparency using open telemetry and evaluation tools, ensuring chatbots remain compliant, secure, and reliable as regulations tighten across industries.SummaryAndre Scott shares insights into the current challenges of managing AI chatbots in enterprise environments. Unlike traditional deterministic systems, chatbots are non-deterministic—meaning even successful responses can fail catastrophically. Scott emphasizes that businesses must move beyond static monitoring to adopt AI evaluation engines that assess correctness, detect prompt injection, and ensure chatbots stay on topic.He outlines a roadmap for companies:Instrument chatbots with open telemetry and trace kits.Integrate evaluation layers to analyze model behavior in real time.Comply with evolving regulations around data protection and AI accountability.Failure to do so can lead to reputational and regulatory damage, as seen in incidents like Air Canada, DPD, and Chevrolet’s chatbot misfires. Scott also highlights the benefits of chatbots for customer support and productivity when they’re properly evaluated and monitored. Looking ahead, he predicts a future of voice-enabled and multimodal AI agents, which will bring both innovation and new oversight challenges.Quotes“Evaluation is the crown jewels when it comes to these agentic AI workflows.”“Traditional monitoring shows a 200 OK, but with AI, that doesn’t mean success — it could still be failing catastrophically.”“Do you really own your code? You need open-source instrumentation to truly understand what’s happening inside your models.”TakeawaysAI chatbots require evaluation, not just monitoring. Traditional success metrics don’t capture AI logic failures.Open-source instrumentation such as LM Trace Kit and OpenTelemetry enables visibility into chatbot behavior.Compliance and privacy risks including GDPR, HIPAA, and data leakage demand proactive observability.Timestamps[00:00] Introduction — Andre Scott and Coralogix[01:00] AI chatbot failures: Air Canada, NYC, and Chevrolet[01:30] Why chatbots still fail and the problem of non-determinism[03:00] How evaluation engines detect errors and hallucinations[03:40] Integrating evaluators and open telemetry[05:00] Repercussions of poor chatbot oversight[06:20] Compliance and regulation readiness[07:30] Business benefits of responsible AI chatbot use[08:20] Future trends including speech-to-speech and multimodal chatbots[08:57] Key takeaway: own your code, monitor everything, and evaluate alwaysLinks / ResourcesWebsite: Coralogix - https://coralogix.com/LinkedIn: Andre Scott - https://www.linkedin.com/in/andre-scott/Podcast: FuFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI is escaping the screen and stepping into the physical world. In this episode of Full Tech Ahead, host Amanda Razani talks with Mat Gilbert, Director of AI and Data at Synapse, about how intelligent systems are being embedded into real-world products and machines. Gilbert explains how “physical AI” — the next evolution beyond generative models — is already powering robotics, logistics, and industrial automation, and what this means for the future of work.SummaryMat Gilbert leads the AI and Data division at Synapse, where his team creates the intelligence that powers next-generation physical products. He describes physical AI as the “third wave” of artificial intelligence, following perception and generative AI. This new phase gives machines the ability to act and interact with the world, turning data-driven insights into real-world motion. Gilbert shares how industries like logistics, agriculture, and manufacturing are already using agentic AI to automate complex physical tasks once handled by humans.He also highlights how decreasing hardware costs, new robotics foundation models, and advanced simulation tools are accelerating adoption. Companies such as Boston Dynamics, Tesla, and Figure AI are taking different approaches to humanoid robotics, each aiming to balance agility, intelligence, and scalability. Gilbert stresses that safety must be at the core of every design, since physical AI operates in irreversible real-world environments. Within the next two years, he predicts that pilot projects will evolve into full-scale deployments, with autonomous systems becoming an ordinary part of everyday life.Key Quotes:“We are moving from chatbots that book hotels to intelligent hotel rooms that adapt in real time.”“Physical AI is where intelligence learns to act, perceive, and reason in the real world.”“Hardware and sensor costs are falling fast, making robotics accessible to everyone.”“In digital AI, errors can be undone. In physical AI, they can cause harm, so safety must come first.”“This is no longer science fiction. It is happening right now and expanding quickly.TakeawaysPhysical AI represents the third major stage of artificial intelligence, focused on action and interaction.Falling costs for sensors, batteries, and computing power are making advanced robotics attainable.Early use cases appear in structured environments like warehouses and farms before expanding to homes and cities.Humanoid robot development follows three main paths: agility, intelligence, and mass production.Safety, reliability, and ethical design are essential as digital intelligence takes physical form.Large-scale deployments of agentic AI systems are expected within the next few years.Timestamps[00:00] Introduction — Amanda Razani and Mat Gilbert[00:24] Matt’s role at Synapse and how his team builds intelligent products[01:06] Defining the “third wave” of AI: from perception to generation to action[02:33] Early examples of physical AI in industry and logistics[03:24] Falling hardware costs and new robotics foundation models[04:36] Humanoid-robot development: Boston Dynamics, Tesla, Figure AI[06:52] Real-world use cases — agriculture, manufacturing, and logistics[08:09] The unique safety risks of physical AI vs digital AI[09:18] Two-year outlook: from pilot progFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of Full Tech Ahead, host Amanda Razani sits down with Patrick Sayler to explore the growing threat of AI-powered social engineering. As Director of Social Engineering at NetSPI, Patrick has seen firsthand how attackers exploit human psychology to breach even the most secure systems. From SMS phishing to voice cloning and Deepfakes, he explains how the lines between real and artificial are becoming increasingly blurred.Patrick’s insights offer a sobering reminder that while cybersecurity defenses continue to evolve, the human element remains the most vulnerable link. He shares real-world examples from his work simulating attacks on major enterprises, along with practical advice for business leaders looking to strengthen their organizations against manipulation and deception.SummaryPatrick Sayler, Director of Social Engineering at NetSPI, discusses the rising threats of SMS phishing and AI voice cloning. He highlights that SMS phishing is increasingly common, while AI voice cloning allows attackers to impersonate individuals using short audio clips. Saylor emphasizes the importance of secondary verification methods like email or Slack to prevent scams. He notes that phone calls remain a significant blind spot for security measures. For proactive defense in 2025, he recommends continuous training and phishing exercises. He also shares a personal anecdote about bypassing multi-factor authentication using a lab coat and mask, underscoring the human element's vulnerability to social engineering.Key Quotes"AI voice cloning is the new big, big, hot thing to look out for.""Even with advanced technology, people remain the weakest link.""You can't trick someone if they don't respond to it."“The easiest way to stop it is to just not answer your phone.”“Phone calls are the biggest blind spot for both people and organizations.”“These attacks aren’t new — the barrier to entry is just lower now.”“You can’t trick someone if they don’t respond to it.”TakeawaysVoice cloning is the next major frontier in cyber deception.Secondary verification (e.g., Slack, Teams, or email) is critical before acting on phone requests.Continuous training and simulated phishing campaigns build awareness and resilience.Report incidents immediately—don’t hide mistakes.Human behavior is the weakest link, not technology.Low-tech methods still work because attackers exploit trust, not just tools.Timestamps[00:00] Introduction to Patrick Sayler and NetSPI[01:20] Trends in social engineering: SMS phishing and AI voice cloning[02:50] How to defend against AI-driven deception[04:10] Human blind spots and phone-based attacks[05:30] Proactive social engineering defense for 2025[07:00] Financial fraud and voice cloning[08:20] Deepfake video risks and a real-world case study[10:00] Final takeaway: “Don’t talk to people — let it go to voicemail.”Links/ResourceWebsite: netspi.com - https://www.netspi.com/LinkedIn: Patrick Sayler -  https://www.linkedin.com/in/psayler/Podcast: Full Tech Ahead — Hosted by Amanda RazaniFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI is everywhere—woven into tools and workflows we use daily, often without realizing it. In this episode of Full Tech Ahead, host Amanda Razani sits down with Ofer Klein, CEO of Reco, to explore how businesses can protect themselves in a world where AI is hidden in plain sight.Reco is an AI-native SaaS security company that helps organizations discover, assess, and secure every external software connection across their digital landscape. Ofer Klein discusses how the rapid integration of AI into platforms like Slack, Salesforce, and Zoom creates a new challenge: shadow AI—unauthorized or unknown AI tools operating within a company’s environment. He explains how visibility, governance, and proactive security are now essential for any business using AI-powered software.SummaryAmanda Razani interviews Ofer Klein, CEO of Reco, a company specializing in securing SaaS and AI ecosystems for modern enterprises. They discuss how the rapid integration of AI into business operations creates new security challenges and the need for stronger governance frameworks. Klein explains how Reco helps organizations protect their data through discovery, governance, and continuous risk assessment. He highlights the growing pressure on security teams to enable AI-driven innovation without sacrificing safety, emphasizing that real-time monitoring is more effective than traditional training in preventing data exposure. The conversation also explores the evolving responsibilities of CISOs, who must now balance security with business growth, and the imperative for companies to embrace AI adoption to stay competitive in today’s market.Quotes:"The only way to secure the fast growth of your business is to gain visibility and security for the main key values of your organization — SaaS and AI that are embedded within."You need to acknowledge the pain or the problem and understand that if you continue running your business blindfolded, you will get hit.""The modern business today that does not utilize AI in a smart way, that does not use those Gen AI tools, will be left behind."Takeaways:AI is now embedded across nearly every SaaS tool—often without users realizing it.Visibility and continuous monitoring are critical to managing these hidden risks.Shadow AI and shadow SaaS demand governance and accountability, not guesswork.CISOs must take a proactive role in securing innovation rather than merely reacting to threats.Timestamps[00:00] Introduction to Ofer Klein and Reco[01:00] The hidden rise of shadow AI[03:00] Discovery and visibility in SaaS environments[04:40] AI regulations and compliance challenges[06:20] Why monitoring beats training[09:20] The evolving, proactive role of CISOs[10:40] Key takeaway: Securing AI-driven growthLinks/ResourcesWebsite: https://www.reco.ai/LinkedIn: Ofer Klein: https://www.linkedin.com/in/oferklein/Podcast: Full Tech Ahead — Hosted by Amanda RazaniFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

We rarely think about what keeps our connected world running smoothly, but what happens when reliability becomes a matter of safety? In this episode of Full Tech Ahead, host Amanda Rosani sits down with Yoav Amitai, CEO of Elsight, to explore how his company is enabling continuous, secure communication for autonomous and remotely operated systems.Amitai introduces the concept of “connection confidence”—the assurance that drones, autonomous vehicles, and other unmanned systems remain connected anywhere, anytime. He explains how Elsight’s hybrid communication technology combines multiple networks and frequencies to ensure uninterrupted connectivity, even in challenging environments. From drone deliveries to emergency response, Amitai reveals how connectivity is the invisible lifeline of the autonomous future.SummaryAmanda Razani interviews Yoav Amitai, CEO of Elsight, a communication company focused on wireless networking for uncrewed vehicles. They discuss the importance of reliable connectivity, especially in drone operations, and the concept of "BVLOS" (Beyond Visual Line of Sight). Amitai explains that BVLOS varies by region but generally means the operator is beyond a certain distance or managing multiple drones. He highlights use cases like drone deliveries, healthcare services, and power line inspections, emphasizing the critical nature of constant communication. Amitai also touches on the importance of data security and the future potential of autonomous aerial drones.Quotes“Downtime for drones isn’t an inconvenience—it’s mission failure.”“We call it connection confidence—the assurance that you’re connected 100% of the time.”“When communication works, no one notices. When it fails, no one sleeps.”“BVLOS is the only way to scale drone operations and make them economically viable.”“Security isn’t an add-on; it’s built into every connection we make.”“Autonomous infrastructure will be the physical layer of the future, just like the internet became our digital one.”“Don’t fear autonomy—embrace it. It’s already making our world better.”TakeawaysReliable connectivity is essential for mission success and safety.Hybrid networks that combine multiple carriers and frequencies ensure constant communication.BVLOS operations are the key to scaling drone and autonomous vehicle use.Security must be built into every communication layer, not added later.Autonomous infrastructure will redefine logistics, safety, and mobility.Embrace the evolution toward autonomy—it will enhance everyday life in countless ways.Timestamps[00:00] Introduction to Yoav Amitai and Elsight[01:00] What Elsight does: hybrid connectivity for unmanned systems[03:00] Understanding BVLOS and its importance[06:00] Why reliable communication is mission critical[09:00] Real-world use cases: delivery, healthcare, and inspections[13:00] Drones as first responders and regulatory updates[15:00] Data security and protecting communication in flight[17:00] The future of autonomous infrastructure[19:00] Key takeaway: building connection confidenceLinks/ResourcesWebsite: elsight.coFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Many of us take seamless connectivity for granted. It seems effortless to stream videos, send photos, or run smart factories—but behind the scenes, an invisible web of technology is meticulously designed to make it happen. In this episode of Full Tech Ahead, host Amanda Razani sits down with Kelly Burroughs, Director of Strategy and Market Development at iBwave, to uncover the hidden world of wireless network design. From ensuring signals work in packed stadiums and underground metros, to powering the robots and autonomous vehicles that move goods, Kelly reveals the complex engineering and strategic planning that make our hyper-connected world possible.Through years of experience helping enterprises and telecom leaders design reliable indoor and campus networks, Kelly has learned that a strong wireless foundation isn’t just technical—it’s critical for business scalability, automation and innovation. She explains how environmental factors, precise modeling and emerging technologies like AI all come together to create networks that perform flawlessly in the most demanding settings.SummaryKelly Burroughs, Director of Strategy and Market Development at iBwave, discussed the complexities of designing wireless networks. She emphasized the importance of surveying and modeling building environments accurately to avoid costly downtime and ensure network reliability. Burroughs highlighted the role of AI in speeding up simulation processes and providing proactive design recommendations. She noted that proper network design is crucial for supporting emerging technologies like AI and automation. Burroughs also stressed the need for enterprises to choose the right technology for their specific applications to achieve operational efficiencies and return on investment.Quotes“Design is absolutely critical to ensuring reliable and dependable networks in a rapidly evolving wireless world.” “You can’t just drop radios anywhere—you have to understand how signals behave in every environment.” “The more accurate your model, the more accurate your performance will be.” “If your robots go offline for ten minutes, that downtime can cost a company thousands.” “AI won’t replace engineers—it will make them faster, smarter, and more proactive.”TakeawaysSurvey before you design: Gather a complete picture of the environment, materials, and existing network performance before building.Model with precision: Every wall, shelf, and obstacle affects signal performance—accurate modeling saves time and money.Invest early to scale later: A solid network foundation allows enterprises to expand automation and AI without disruption.Use the right tech for the right task: Combine Wi-Fi for office needs with private 5G for critical, high-reliability operations.Leverage AI for efficiency: Automation can speed up simulation and identify performance issues before they arise.Never skip design: It’s the invisible layer that keeps every digital system running smoothly.Timestamps[00:00] Welcome and introduction to Kelly Burroughs[01:00] What iBwave does and why it matters[03:00] The importance of environmental surveys and modeling[06:00] How poor design leads to downtime and high costs[09:00] The role of AI in wireless network designFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Are you wondering how AI can move from hype to real, measurable business results? Many organizations talk about transformation, but few truly know how to integrate AI into daily operations to drive efficiency and smarter decision-making. From ad tech to publishing, leaders face a pressing question: how can AI help teams work faster, smarter, and more collaboratively—without adding complexity?In this episode of Full Tech Ahead, host Amanda Razani interviews Rajeev Butani, CEO of MediaMint, about the company’s evolution into an AI-powered growth operations firm supporting more than 150 publishers and ad tech companies. Rajeev explains MediaMint’s persona-based AI model, which delivers up to 70% efficiency gains in campaign optimization, media planning, and operations. He stresses the importance of strategic AI adoption, operational ownership, and aligning technology with business outcomes. Rajeev also predicts major AI breakthroughs in the next two years and challenges companies to start experimenting now—using AI to break down silos, streamline processes, and unlock new levels of performance.TIMESTAMPS[00:00] Introduction and guest overview[02:45] MediaMint’s transformation into an AI-powered growth ops company[05:30] Using persona-based AI models to drive efficiency[08:10] Real-world success stories: 70% improvement in media operations[10:45] Why businesses must own their AI strategy[13:20] Breaking silos with agentic AI[15:55] How AI transforms media planning and campaign optimization[18:30] Predicting the next two years of AI advancements[21:10] Overcoming fear and resistance to AI adoption[24:00] Final thoughts and advice for business leadersQuotes“AI isn’t about replacing people—it’s about amplifying what they can do.”“You can’t just buy AI and expect transformation; you need operational ownership.”“Our persona-based approach allows us to boost efficiency by up to 70%.”“The next two years will redefine how companies work with AI—those who experiment now will lead later.”“Breaking down silos is the only way AI can truly deliver business value.”TakeawaysAdopt strategically, not reactively: AI success comes from clear ownership and alignment with business outcomes.Use personas to personalize performance: Tailored AI assistants can elevate efficiency and decision-making across departments.Break silos early: AI works best when data and teams are connected, enabling faster learning and smarter collaboration.Experiment now: Early adoption and small-scale testing prepare organizations for rapid AI evolution in the coming years.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Are rising AI workloads pushing your infrastructure to the limit—and leaving you wondering whether cloud, edge, or on-prem is the smarter investment? As companies rush to deploy generative AI and analytics everywhere, leaders face mounting pressure to balance performance, cost, and reliability. This episode explores the hidden expenses of AI infrastructure and why simplicity, scalability, and smart architecture are key to long-term success.In this episode of Full Tech Ahead, host Amanda Razani interviews Bruce Kornfeld, Chief Product Officer at StorMagic, about how organizations can optimize edge and on-prem environments to support AI without breaking the bank. Kornfeld shares practical insights on building simple, reliable systems, avoiding over-engineering, and using hyperconverged infrastructure to lower costs and latency. He also discusses the evolution of AI at the edge—from retail use cases to hybrid models that run inference locally while training in the cloud—and offers actionable guidance for IT leaders looking to achieve ROI and agility in their AI strategy.TIMESTAMPS[00:00] Introduction and Guest Overview[01:16] Why Some Organizations Stay On-Prem[02:33] Simplicity, Cost, and Reliability at the Edge[04:17] Aligning Teams and Avoiding Miscommunication[06:06] Cloud vs. Edge Architecture Decisions[08:02] The Growing Role of AI in Infrastructure Planning[08:27] Measuring ROI and Building a Sustainable Edge Strategy[10:25] Edge AI in Action—Retail Use Cases[12:33] Hybrid AI: Blending Cloud Learning and Edge Inferencing[14:57] The Core Takeaway – Simple, Smart, and Scalable EdgeQuotes“Simplicity is king. If you try to build the edge like a data center, you’ll overspend and overcomplicate.”“The cloud can’t solve every problem—sometimes you need real-time performance that only the edge can deliver.”“AI doesn’t have to mean massive GPU farms. Smart architecture lets you do more with less.”“Leave the big models in the cloud; bring the intelligence you need to the edge.”“Building on-prem infrastructure for the edge doesn’t have to be expensive or complicated.”TakeawaysSimplify your infrastructure: Avoid over-engineering; focus on easy, reliable systems suited for edge environments.Adopt hybrid AI models: Keep training in the cloud but run inference locally for faster, cost-effective results.Leverage HCI technology: Combine compute, storage, and networking into smaller, more efficient systems.Measure total cost of ownership: Use ROI and TCO modeling tools (like stormagic.com/tco) before deploying AI infrastructure.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI and cloud computing are reshaping video surveillance, but are we prepared for what’s ahead? Traditional DVR systems are being replaced by intelligent, data-driven cloud platforms. Businesses and cities now face tough questions about privacy, data ownership, and the role of AI in predicting human behavior. How do we balance innovation with responsibility as technology becomes more powerful and accessible?In this episode of Full Tech Ahead, host Amanda Razani interviews Greg Stone, Product Marketing Manager at Luminys. With over two decades of experience in physical security and cloud-based systems, Greg reveals how the industry has evolved from analog monitoring to predictive analytics. He explains how AI and metadata are transforming not only safety but also business operations and smart city development.TIMESTAMPS[0:02] Greg Stone’s Background and Role at Luminys[1:58] How AI and Cloud Technology Are Changing Surveillance[3:18] The Rise of Interactive and Predictive Search[4:06] Early Detection and Preventive Security[5:24] Privacy Concerns in a Data-Driven World[6:05] The Growing Importance of Metadata[7:25] Smart Cities and Their Positive Community Impact[8:58] Balancing Safety, Privacy, and Legal Boundaries[10:14] Commercial Use Cases Beyond Security[12:02] Facial Recognition Regulations and Alternatives[13:01] The Future of Predictive Video SurveillanceQuotes‘’AI depends on accurate data, and the cloud is the engine that powers it. The more reliable your data, the better your AI performs.” – Greg Stone“Metadata has become the foundation of modern surveillance. It allows organizations to move from reactive monitoring to predictive insights.” – Greg Stone“Privacy isn’t just about avoiding cameras. It’s about making sure your data is used responsibly, not misused or manipulated to create false narratives.” – Greg StoneTakeawaysAdopt AI-driven cloud solutions to move from reactive surveillance to proactive protection.Treat metadata as a strategic resource that fuels predictive analytics and smarter operations.Address privacy early by creating transparent policies for data storage and usage.Prepare for the next decade of security by integrating predictive technologies that detect risks before they escalate.Thanks to Luminys for sponsoring this episodeVisit https://www.luminyscorp.com/Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Legacy software keeps businesses running, but updating it is slow, risky, and expensive. What if AI could read, map, and modernize millions of lines of code in days instead of months? How can organizations move faster without breaking what already works?In this episode of Full Tech Ahead, Amanda Razani talks with Ray Ploski, Vice President of Corporate Strategy and Marketing at CoreStory. Ray shares how his team is using AI to unlock the hidden value inside decades-old systems through their innovative “code-to-spec” technology. Drawing from years of experience in software strategy and AI-driven transformation, he explains how CoreStory is helping enterprises modernize complex codebases with speed, accuracy, and confidence—turning legacy software into a foundation for future growth.TIMESTAMPS[0:02] Ray Ploski’s Role and CoreStory’s Rebrand[0:39] How “Code-to-Spec” Changes Software Development[2:37] The Challenge of Legacy Systems and Modernization[3:55] Why Context and Business Continuity Matter[5:59] CoreStory’s AI-Powered Code Intelligence[7:12] The Limits of ChatGPT for Enterprise-Grade Code[9:11] Natural Language Programming: The Future of Development[10:30] Preparing Businesses for the Shift to Spec-Driven Development[11:24] Final Thoughts on AI’s Role in Modernization[12:20] Closing Reflections and TakeawayQuotes“Our ability to generate code outpaces our ability to understand it. CoreStory turns code into knowledge.” – Ray Ploski“Speed means nothing if it breaks what works. You can modernize fast, but if your business continuity suffers, you’ve lost the point of modernization entirely.” – Ray Ploski“AI hallucinations are real and dangerous. You need confidence, accuracy, and visibility into what AI can’t know.” – Ray Ploski“The next generation of software will use natural language. Systems will code themselves from clear goals.” – Ray PloskiTakeawaysUse AI to understand and document legacy systems before making changes.Prioritize accuracy and confidence in AI results over speed and automation.Prepare teams for a future where natural language drives software creation.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

AI is transforming cybersecurity, but are we ready for both the opportunities and the threats? Hackers are already using AI to create advanced phishing scams, deep fakes, and even AI-powered ransomware. At the same time, companies are rushing to deploy AI without fully understanding the risks. How can leaders protect their organizations from adversaries while still leveraging AI to gain an edge? In this episode of Full Tech Ahead, host Amanda Razani interviews Steve Orrin, Federal CTO at Intel, who has spent decades at the intersection of technology, government, and cybersecurity. Steve shares how adversaries are weaponizing AI, what businesses must do to secure their AI systems, the hidden dangers of shadow IT, and what the future of quantum computing means for security. With his deep experience in security R&D, government partnerships, and enterprise adoption, Steve gives practical strategies for defending against today’s threats and preparing for tomorrow’s. Timestamps: [00:02] Steve Orrin's Background and Role at Intel [06:23] Impact of AI on Cybersecurity [11:02] Addressing Shadow IT and Employee Training [14:36] Combating Deep Fakes and Phishing [18:02] Future of Quantum Computing and Post-Quantum Cryptography [23:08] Key Takeaways for AI and Quantum Security  Key Quotes “Adversaries are already using AI. We’ve seen deep fakes, advanced phishing, and even AI-powered ransomware designed to evade detection.” – Steve Orrin “If you only think about securing AI at the end of the lifecycle, you’re already too late.” – Steve Orrin “You can’t stick your head in the sand. Banning tools like ChatGPT doesn’t work. You need training, policy, and controlled adoption.” – Steve Orrin “It’s not about being ready when the quantum computer arrives. It’s about protecting data today, because attackers are harvesting it now to decrypt later.” – Steve Orrin Key Takeaways 1. Build AI security in from the start by validating data, securing infrastructure, and involving compliance teams. 2. Manage shadow AI use with training, policies, and secure in-house deployments instead of outright bans. 3. Stay skeptical of digital content—verify suspicious messages and use detection methods for deep fakes. 4. Prepare now for quantum threats by inventorying cryptographic systems and planning migration to post-quantum cryptography. Conclusion AI is reshaping cybersecurity on all sides, and leaders cannot afford to wait. From combating AI-enabled adversaries to preparing for the quantum future, Steve Oren’s insights show how to approach these challenges with strategy and foresight.  Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Could human error in trucking be drastically reduced, making highways a safer place? In this episode of Full Tech Ahead, Amanda Razani sits down with Bart Teeter, Director of Fleet and Operational Safety at Bot Auto, to explore the cutting-edge world of autonomous trucking. With 26 years in the Texas Highway Patrol, Bart brings unmatched expertise in safety, regulation, and commercial vehicle operations. Today, he applies that experience to level four autonomous trucks, aiming to make highways safer, more efficient, and more reliable. Bart’s journey from law enforcement to tech startup is inspiring, showing how innovation and experience can intersect to solve real-world problems.Timestamps[03:25] State of autonomous vehicles[05:55] Goal of driverless trucks[08:54] Challenges in autonomous trucking[13:21] Experience with autonomous ride-sharing[16:34] Cybersecurity concerns[18:51] Regulatory challenges across the U.S.[23:10] Impact on trucking jobs[26:36] Key takeaways[28:52] ConclusionQuotes: “95% of those crashes somebody did something wrong. Humans are very good drivers until they’re not, and that’s where we have a mess.”“Our trucks will never drive drunk, tired, distracted, or angry. They are 100% focused on the driving task, 100% of the time.”“Every day, at least one person has lost their life on Texas highways. Autonomy gives us a chance to save those lives.”“We’re not taking trucking jobs. We’re filling gaps and creating new opportunities for modern truck operations.”Key Takeaways:Autonomous trucking can reduce human error and improve highway safety.Regulatory alignment is essential for scaling autonomous operations nationwide.Public trust and cybersecurity are critical to adoption.Career opportunities in trucking are evolving, creating tech-focused roles alongside traditional driving positions.Links MentionedBot Auto: https://www.botauto.comWaymo autonomous rides: [https://www.waymo.com](https://www.waymo.com)Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Are you curious how next-gen space technology could transform life on Earth? Do you wonder why computing in space has lagged behind and how solving it could unlock breakthroughs in autonomy, manufacturing, and even pharmaceuticals? In this episode of Full Tech Ahead, host Amanda Razani talks with Rick Ward, Founder and CTO of OrbitsEdge, about bringing modern computing to space.From radiation shielding and thermal management to onboard AI analytics and in-space crystal growth, Rick explains how OrbitsEdge is bringing modern computing to orbit — and what that means for Earth observation, satellite servicing, and next-generation materials. If you’ve ever wondered how space innovation could change industries from biotech to semiconductors — and why falling launch costs might make it all possible sooner than you think — this episode is for you.TIMESTAMPS[00:02] OrbitsEdge's Origins and Vision[03:58] Thermal Management and Market Opportunities[08:14] Remote Proximity Operations and In-Space Manufacturing[12:52] Cost-Effectiveness and Future Prospects[19:20] Impact of Lower Launch Costs[30:25] The Future of Space TechnologyQuotes“We’re either never going to get to autonomy with old space computers, or we’ll do it in 2050 when it’s too late—so I wanted to fly modern computers in space now.”“If we can process the data right at its point of origin in space, we’re not shipping haystacks back to Earth—we’re just sending the needles.”“Lower launch costs will transform space from a Formula One race car to a Honda Accord—less flashy, but far more feasible and scalable.”Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Are you curious about how colleges and universities are preparing students for the rapidly evolving tech workforce? In this episode of Full Tech Ahead, host Amanda Razani sits down with Scarlet Clouse, Dean of the College of Education and Director of the Kay Bailey Hutchinson Institute at Angelo State University, to discuss the explosion of AI, cybersecurity, and other cutting-edge technologies transforming industries. From launching an AI Center of Excellence and offering free Coursera certifications to running immersive youth programs, such as code camps, robotics camps, and cybersecurity expos, Scarlet shares how ASU is creating workforce-ready graduates while inspiring the next generation of tech leaders. Whether you’re a student, a career pivoter, or fascinated by the future of technology and education, this episode offers a roadmap to thriving in the AI-driven world.TIMESTAMPS[00:02] AI and Technology Trends in Higher Education[03:01] Announcement of the AI Center of Excellence[04:06] Coursera Courses and Continuing Education[06:39] Future Careers in Technology[08:49] Youth Engagement in Technology Programs[11:04] Importance of Community and Youth Outreach[12:30] ASU Scholar Program and Internships[14:06] Increasing Women in Technology Careers[17:02] Advice for New Graduates in Tech Careers[18:43] Final Thoughts and EncouragementFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

What if the same innovations making cars self-driving could also make flying safer, faster, and more accessible? For decades, aviation has been bound by the limits of human workload, urban congestion, and safety concerns. But now, a new era is dawning—one where autonomous technologies may redefine how we travel in the skies.In this episode of Full Tech Ahead, host Amanda Razani sits down with Sapan Shah, Senior Director of Product Management at Honeywell Aerospace. With years of experience leading product innovation, Sapan is at the forefront of building the “brains and muscles” of autonomous flight—from sensors and avionics to certified systems that prioritize trust and safety. Together, they unpack the opportunities, challenges, and revolutionary potential of autonomous aviation, from urban air taxis to reducing pilot workload.If you’ve ever wondered:Will we really see air taxis in our lifetime?What makes autonomy in aviation safer—not riskier?How close are we to fully automated flights? TIMESTAMPS: [00:00] Introduction to Sapan Shah and Honeywell Aerospace[04:30] Defining Autonomy in Aviation and Why It Matters[09:10] Urban Air Mobility and the Promise of Air Taxis[13:50] Reducing Pilot Workload Through Assistive Autonomy[18:20] Certification, Trust, and Safety in Autonomous Systems[22:45] Comparing Ground Autonomy to Aviation Autonomy[27:10] Building Public Trust in Autonomous Aviation[31:00] AI, Data, and Real-Time Decision Making in Flight[36:20] Challenges and Barriers to Industry Adoption[41:15] Looking Ahead: The Future of Flight AutonomyQuotes: "Autonomy in aviation isn’t about a sky full of buzzing drones—it’s about structured, trustworthy automation that reduces pilot workload and enables safer, smarter flight.” – Sapan Shah“Our vision for air taxis is simple: complete a 100-mile journey in 45 minutes or less. That’s life-changing for anyone stuck in urban congestion.” – Sapan Shah“At Honeywell, we build both the brains and the muscles of autonomy—sensors to see, computers to think, and actuators to act—all delivered in a certified, trustworthy way.” – Sapan Shah“You can pull a car over if something goes wrong. You can’t do that mid-air. That’s why aviation autonomy demands higher safety margins.” – Sapan ShahTakeaways:Autonomy is assistive before it’s independent. It starts by reducing pilot workload, not replacing pilots outright.Safety and certification come first. In aviation, trust is built on reliability and compliance—not iteration after launch.Urban air mobility could redefine cities. Air taxis and regional flights will cut congestion and change how we move.Adoption is gradual but inevitable. Autonomy will first support, then eventually transform, the way aviation operates.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Are you frustrated by how slow, complex, and fragmented today’s networks can be? Do you wonder why interoperability still feels like an uphill battle, and whether enterprises will ever have true agility in buying and managing services? In this episode of Full Tech Ahead, host Amanda Razani sits down with Kevin Vachon, Corporate Development Officer at Mplify (formerly MEF). Kevin brings decades of experience shaping industry standards and alliances, and he’s uniquely positioned to explain why the rebrand matters, how Mplify is building a global ecosystem, and what the future of Network as a Service (NaaS) really looks like. If you want to understand where enterprise connectivity, security and AI-driven services are heading, this episode is for you.TIMESTAMPS[00:00] Setting the stage with Mplify’s rebrand[04:40] Building a global alliance[06:30] Certifications that establish trust[07:50] Tackling transparency in cybersecurity[09:45] Supporting the shift to Network as a Service[11:30] The upcoming global NaaS event[14:50] Real-world enterprise use cases[18:50] Why interoperability drives collaboration[21:00] The renewed importance of standards[22:40] A final takeaway on Mplify’s visionQuotes“The branding didn’t change the vision. The branding followed the change.”“Network as a Service requires a full digital supply chain, and interoperability is impossible without standards.”“Transparency is about showing the industry what’s tested, what’s real, and what’s not.”“We’re proud of our Carrier Ethernet legacy, but Mplify represents where the industry is going, not where it’s been.”TakeawaysEmbrace NaaS as the future of enterprise connectivity. Explore how automation and APIs simplify service delivery.Understand that interoperability is non-negotiable. Support standards that enable global collaboration.Leverage certifications to build trust. Customers demand transparency and validation in both networking and security.Stay engaged with industry events. They provide not just insights, but opportunities to shape the evolution of services.Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Are you struggling to keep your brand visible in the new age of AI shopping? Do your customers drop off before buying because they can’t find the right product? What happens when search engines and ChatGPT decide which brands shoppers see first?In this episode, Amanda Razani sits down with Dev Devnani, Co-Founder and CEO of VariaAI, who is helping brands stay ahead of this massive shift. Dev brings a unique mix of strategy and hands-on e-commerce experience. His company, VariaAI, builds AI-driven shopping assistants that give customers a personalized buying journey while ensuring brands show up in AI search results. If you want to understand how to thrive in this new reality, this conversation will show you the playbook.TIMESTAMPS[00:00] Introduction and background[02:00] The shift in shopper behavior[03:00] Industries adopting AI shopping[04:50] Solving problems, not pushing products[06:30] How VariaAI works[08:00] ROI and results[10:20] Is AI shopping mission critical?[12:30] Future possibilities[13:30] Actionable steps for companies[14:20] Closing insightsQuotes“When shoppers go to ChatGPT, they’re not asking for a product, they’re asking to solve a problem.”“AI shopping doubles conversion compared to a normal search bar.”“For health, beauty, and wellness, adopting AI isn’t optional. It’s mission critical.”“Influencers and creators are one of the few roles AI won’t replace, because people want that personal connection.”TakeawaysTest AI shopping yourself to understand the customer experience.Audit your website traffic sources and analyze how much comes from AI platforms.Build content around real customer problems, not just product features.Create an AI strategy with your e-commerce team before competitors get ahead.Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Extreme weather, failing infrastructure and rising energy demands are putting our power grids under unprecedented pressure. What if artificial intelligence could not only detect problems before they happen but also prevent disasters like blackouts and wildfires? Utilities are drowning in massive amounts of data, yet often struggle to turn that data into actionable insights. In this episode of Full Tech Ahead, host Amanda Razani sits down with Vik Chaudhry, Co-Founder and CTO/COO of Buzz Solutions, a company pioneering AI and geospatial intelligence for utilities. With a background in AI, machine learning and energy engineering, Vik has a rare ability to bridge cutting-edge data science with the pressing challenges of modern infrastructure. He’s passionate about transforming the way power grids are monitored, safeguarded and future-proofed. If you’ve ever wondered how AI can literally keep the lights on, this conversation is for you. TIMESTAMPS: [00:00] Introduction to Vik Chaudhry and Buzz Solutions [01:30] What Is Agentic AI and Why Does It Matter? [04:30] Geospatial Intelligence and Its Role in Utilities [06:30] Real-World Use Cases of AI in the Power Sector [09:00] Tackling Grid Modernization and Substation Security [11:00] Safeguarding the Future of Energy Infrastructure [12:30] Vegetation Management and the Role of AI[15:00] Supply Chain Challenges and Predictive Planning [16:00] The Bigger Picture — AI as the Invention of the 21st Century [17:00] Closing Reflections and Future Opportunities  Quotes “We’re helping utilities turn overwhelming data into actionable insights that literally keep the lights on.” – Vik Chaudhry “In the 20th century, electricity was the greatest invention. In the 21st, it’s AI.” – Vik Chaudhry  “Utilities don’t just need information — they need insight they can act on.” – Vik Chaudhry  “AI makes it possible to predict problems before they cause outages, saving lives, money, and infrastructure.” – Vik Chaudhry Takeaways Adopt proactive monitoring: Utilities (and businesses in general) must shift from manual inspection to automated, AI-driven asset monitoring.  Leverage geospatial data: Mapping infrastructure across time and space creates a foundation for predictive insights.  Plan ahead with AI: Supply chain delays require predictive modeling to manage assets and avoid crises.  Think big picture: Like electricity last century, AI will redefine the future — leaders must embrace it now.  Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Booking a flight, changing a ticket, or navigating travel delays can feel overwhelming, especially when customer service lines are packed and outdated systems make the process even harder. What if AI could remove that stress, save airlines millions, and give travelers the convenience they crave? In this episode of Full Tech Ahead, Amanda Razani sits down with Jason Valdina, Senior Director of Engagement Channel Strategy at Verint, a global leader in CX automation. With years of expertise in automation, Verint has worked with major airlines, train services, and hotel chains to modernize their customer service. Jason shares how AI bots can assist in freeing humans from repetitive, frustrating tasks so they can focus on what truly matters: Creating meaningful travel experiences. Discover how AI bots are not just reducing costs, but also transforming how the travel industry engages with customers. From airlines like Volaris achieving a 70% cost reduction, to Amtrak selling tickets directly through chatbots, Jason reveals how automation is reshaping customer experience. TIMESTAMPS: [00:00] Introduction to Verint and CX Automation [05:00] The Role of AI Bots in Travel [10:00] Volaris Airlines Success Story [15:00] Debunking the “AI Replaces Humans” Myth [20:00] New York City Transit and Social Media Automation [25:00] Amtrak’s AI-Powered Ticket Purchases [30:00] Hotels and the Power of Generative AI [35:00] The Evolution of Conversational AI [40:00] From Reactive to Proactive AI in Travel [45:00] The Rise of Co-Pilot Bots for Employees  Quotes  “As humans, we shouldn’t have to do all these complicated checks and balances. If it’s rote, let a bot do that.” – Jason Valdina “Volaris reduced their cost footprint by 70% and automated 85% of customer conversations. That’s massive.” – Jason Valdina “It’s not about AI replacing people. Volaris grew 380% in volume but only needed 9% more staff.” – Jason Valdina “When customers have autonomy and convenience, they actually spend more. That’s the real ROI of AI.” – Jason Valdina “We’re in the co-pilot era now. AI is augmenting employees, not just helping customers.” – Jason Valdina  Takeaways  Automation Frees Humans for Human Work: Let AI handle repetitive tasks so staff can focus on higher-value interactions. Proactive AI Builds Customer Loyalty: Following up on incomplete actions boosts convenience and conversion. AI Can Generate Revenue, Not Just Cut Costs: From seat upgrades to ticket purchases, bots create new revenue streams. The Future Is Human + AI Collaboration: Co-pilot bots will empower employees with real-time knowledge and insights. Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

What if the glasses you wear every day could project information directly into your field of vision without bulk, weight, or distortion? Augmented Reality (AR) smart glasses promise to revolutionize how we interact with technology, but challenges remain: Cost, style, accessibility, and consumer adoption.  In this episode of Full Tech Ahead, host Amanda Razani sits down with Kentaro Mihara, CTO of Cellid, a pioneering company based in Tokyo that’s developing waveguide technology, the breakthrough component making AR glasses lightweight, stylish, and consumer-ready. Kentaro shares insider knowledge on how waveguides work, why plastic lenses may be the future, and how AR glasses could soon be used for payments, accessibility, and everyday convenience. If you’ve ever wondered when AR glasses will fully enter the mainstream, this conversation will answer your questions and spark new ones.  Timestamps  [00:00] Introduction and Guest Background [01:30] What is a Waveguide and Why It Matters [03:20] Prescription Challenges and Innovations [05:15] Consumer Adoption Challenges [06:30] Glass vs. Plastic: Which Wins?  [07:50] Current Market Trends and Competition [08:45] Affordability and Market Entry [09:50] Partnerships and Ecosystem Growth [10:25] Accessibility and Real-World Use Cases [11:20] Future Roadmap and Innovation Cycles Quotes “The waveguide is basically the heart of the AR glasses. Without it, you can’t have a lightweight, stylish display system.” – Kentaro Mihara  “Plastic waveguides are twice as light and much more resilient than glass, making them ideal for everyday wear.” – Kentaro Mihara  Takeaways Waveguides are the future of AR: They solve some of the biggest challenges of bulk, style, and cost.  Plastic beats glass: For consumer AR, being lightweight and durability is critical    Conclusion Augmented reality glasses are not science fiction; they’re on the verge of mainstream adoption. With innovators like Kentaro Mihara and Cellid pushing waveguide technology forward, the future of AR promises glasses that are lightweight, stylish, affordable and powerful tools. Stay tuned, because the next generation of AR wearables may be closer than you think.  Related Link:  Amanda Razani’s article on Gadget Magazine and MSN: https://gadget.co.za/arcellid152m/ Find Amanda Razani on LinkedIn: https://www.linkedin.com/in/amanda-razani-990a7233/ Many Thanks to our Show Sponsor: VariaAI  And special thanks to our Founding Sponsor: Cloudnium  Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Drones are everywhere, delivering packages, aiding in search and rescue, inspecting infrastructure, and even entertaining us with light shows. But with so much opportunity, how do you break into this growing industry? What skills are required? And how do you separate hype from reality? In this episode of Full Tech Ahead, host Amanda Razani speaks with Michael Hill, founding partner of Uncrewed Aerospace, Chief Flight Instructor for Dallas College, and widely known as “The Drone Pro.” Michael brings a unique journey: from being a Microsoft executive to becoming a global leader in drone training, operations, and policy-making. His passion for empowering the next generation of drone pilots through education and workforce development makes him the perfect guide to help us understand the real opportunities in the drone industry. If you’ve ever wondered whether drones could play a role in your career, business, or community, this episode is packed with insights, practical advice, and powerful lessons.  TIMESTAMPS [00:00] Introduction and Michael’s Story: [02:20] When You Need a Drone License: [05:25] Crashing and Learning: Choosing the Right Drone: [06:55] From One Drone to Thousands: AI in Drone Technology:  [08:48] U.S. Drone Manufacturing and Policy Changes: [11:01] Use Cases that Changed the Game:  [15:07] Launching Workforce Development at Dallas College: [17:50] Empowering the Next Generation:  [19:53] Drones as Skilled Trades: [22:04] Final Insights and Warnings: Quotes “It started out as a hobby—but it turned into my second career.” “Don’t buy a $5,000 drone when a $50 one will teach you the same lesson after a crash.” “Two is one and one is none—always have a backup drone.” “There are no jobs in the drone industry. There are opportunities.” “Flying a drone is a privilege. Don’t be a bad actor—safety is everything.” Takeaways Start Small, Learn Big – Begin with inexpensive drones to build confidence and skills without major financial risk. Licensing Matters – The FAA Part 107 license is essential for any commercial drone work. Opportunities, Not Jobs – Drones are best approached as entrepreneurial tools, not guaranteed employment. Safety First – Responsible piloting ensures the growth and legitimacy of the entire industry.  Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

In this episode of Full Tech Ahead, host Amanda Razani sits down with Vijay Marolia, chief investment officer at Regal Point Capital, to explore the intersection of blockchain, financial literacy and the future of money. Vijay shares his unique perspective on why crypto is valuable, tokenization, how smart contracts will reshape industries, and why he believes financial literacy is the true key to wealth and opportunity. He also talks about his mission to educate the next generation through children’s books like Baby’s First Business Book and explains why blockchain could be as revolutionary for finance as the invention of double-entry accounting. If you’ve ever wondered whether crypto still matters, how inflation really works, or how blockchain merges with fintech, this episode is a must-listen. What You’ll Learn in This Episode: Why Vijay believes crypto adoption is amplifying. How blockchain tokenization could transform real estate, royalties, and intellectual property. The surprising way blockchain may replace 500 years of double-entry accounting. Why inflation can hurt consumers but can enrich asset owners. The future of financial literacy for kids and entrepreneurs. Practical tips on crypto custody and avoiding mistakes. Resources & Mentions: Baby’s First Business Book by Dr. Funkle (available on Amazon) Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

Most large organizations continue to run Procurement in the same piecemeal, slow, and spreadsheet-driven manner as they did 20 years ago. This fractured system creates blind spots, bottlenecks, and missed opportunities, especially when regulations change overnight, suppliers compete aggressively for contracts, and carbon footprint goals loom large. How can enterprises cut through the chaos, unify data, and make smarter, faster procurement decisions without drowning in manual processes?Anders Lillevik, CEO of Focal Point, has spent 25 years leading Procurement for names like Fannie Mae, Citizens Bank, and Webster Bank. Frustrated by the limits of traditional tools, he built a B2B SaaS platform that acts as a procurement “central nervous system.” Anders shares how his technology centralizes spend data, integrates with existing systems, and even leverages AI agents to automate tactical work so teams can focus on strategy. If you’ve ever wondered how to bring clarity and speed to one of your company’s largest expense categories, Anders offers a clear, battle-tested blueprint.Quotes:“We’re a B2B SaaS company in the procurement sector… I would have spent millions of dollars in procurement technology, but my team and I did most of our work in Excel and email, so that’s what I’m setting out to fix.”“Procurement has to save the company money, meet diversity and inclusion goals, reduce carbon footprint, fight modern slavery, and suppliers make up 70% of an enterprise’s carbon footprint.”“You can track how you’re doing against your goals as and when it happens… no longer need to jump in between systems to figure out where you’re at.”Timestamps:[00:00] Introducing Anders Lillevik and the problem with procurement systems[01:14] Procurement as the “central nervous system”[02:47] From cost savings to ESG responsibilities[04:56] Real-world category strategy use case[06:25] Breaking down silos between departments[06:47] Adapting to regulatory requirements with flexible workflows[08:10] The biggest roadblocks in implementation[09:49] Customer spotlight—VSP’s rapid adoption[11:44] AI agents and automation in Procurement[13:25] The future of Procurement and AI’s roleKey Takeaways:Centralizing procurement data and processes eliminates blind spots and accelerates decision-making.Flexible workflows reduce the cost and complexity of adapting to new compliance requirements.AI agents can automate tactical procurement tasks, freeing teams to focus on strategy.Change management is critical when moving from ad-hoc processes to standardized workflows.Conclusion:By creating a central hub for supplier and category management, integrating with existing systems, and embedding AI automation, procurement teams can shift from reactive firefighting to proactive strategy execution. In a business environment where Procurement influences cost, compliance, and ESG performance, this approach delivers speed, clarity, and competitive advantage.Links/Resources: Website: https://focalpointprocurement.com LinkedIn: https://www.linkedin.com/in/anderslillevik/ Full Tech AFind Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

 It’s hard to ignore the contradiction at the heart of modern computing: We build ever-more robust AI systems while burning more energy to run them. As generative AI booms and cloud usage expands, data centers expand and more electricity is needed. With each leap in intelligence, we double down on a system that threatens to overheat globally. So what if the future of computing wasn’t silicon? What if it were alive?Fred Jordan, physicist and founder of FinalSpark, is doing more than asking the question. His team is answering it by working to build the first living processors. These systems use real human neurons, cultivated from stem cells, to perform computation. That means replacing digital simulations with biological brains-on-a-chip. It’s an entirely new category of computing, and designed to solve AI’s energy problem. Fred walks us through how it works, why it matters, and where this frontier could take us. Quotes: “We realized that biological neurons are one million times more power-efficient than their digital counterparts.” “This is going to be a new industry—moving from digital to biology for processing information.” “If you do all this right, you may have fruitful discussions with those neurons.”  Takeaways:  Explore how living neurons could replace silicon in specific types of AI processing. Understand the scientific and technical complexity of building and sustaining living processors. Learn how Final Spark is opening its platform to researchers around the world to accelerate breakthroughs. Consider the long-term ethical and technological implications of training biological brains for computational tasks.   Timestamps: [00:02] Fred Jordan’s origin story and the idea behind Final Spark:  [01:01] The power problem in AI simulations: [02:53] Building brain organoids and connecting them to electrodes:[04:17] The technical challenges of sustaining neuron life:  [06:26] What a bio server is and how it works: [07:38] How living processors can reshape sustainability: [08:36] The future of training biological neurons: [10:20] Live neuron activity and open access to researchers: [11:24] Early commercial applications and research partnerships: [11:55] Why this work matters beyond the lab:  Conclusion: Fred Jordan isn’t building faster computers—he’s building different ones. By growing neurons and training them to compute, he’s laying the groundwork for a future where biology replaces transistors in parts of our digital world. It’s still early, but the implications are enormous. In an era defined by data and electricity, Final Spark’s approach offers something radical: intelligence that doesn’t drain the grid.  Links/Resources: Website: https://finalspark.com Live Neuron Activity: https://finalspark.com/live Fred Jordan on LinkedIn: https://www.linkedin.com/in/fred-jordan-44410a15/ For more deep dives into breakthrough technologies transforming our future, visit: https://www.fulltechahead.com. Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/

It’s jarring to think that in an age of drones and robotics, we still have people dangling from heights to do work that could kill them. Every time a worker scales a skyscraper or repaints a bridge, there’s this unspoken gamble with their life, just to keep things running or looking clean. And while the bravery is real, so is the risk—one mistake, one gust of wind, and everything can change. It makes you wonder why we haven’t moved faster to replace these jobs with machines built to take the fall instead. Robert Dahlstrom, founder of Apellix, turned a frustrating paint job into a drone tech startup tackling industrial tasks like power washing and painting. Starting with makeshift prototypes in his garage, he’s now leading innovations used in sectors from oil and gas to defense. Today, he shares how Apellix’s drones boost safety and efficiency while cutting costs. He also highlights advanced uses like Army decontamination and eco-friendly coatings. His story blends garage tinkering with serious tech, solving real-world problems.  Quotes: "Without software, the drone is just a brick—it doesn't do much of anything. The software is what makes it special, what makes it magical, what enables it to do the amazing things it's able to do out there in the world." "My mission is to push this into the world and get people down from elevation, put their feet on the ground where they're safe, and have the robots out there doing the work instead." Takeaways: Explore innovative solutions to dangerous workplace tasks by studying how technology can replace high-risk manual labor. Investigate potential industry-specific applications for autonomous drone technology in your field, focusing on safety and efficiency gains. Challenge yourself to think about unmet technical challenges where precision robotics could solve complex problems currently done by humans.  Timestamps: [00:02] How a DIY Paint Job Sparked a Drone Startup [03:14] What It Took to Launch a Drone for Painters [06:10] Real Work Done by Drones in High-Risk Jobs [08:47] Wild Ways Drones Are Solving Real Problems [16:32] What Makes These Industrial Drones So Safe [16:53] How Drones Are Cutting Pollution and Waste [21:04] Why This Drone Tech Is Just Getting Started  Conclusion: Drone technology is changing how industrial work gets done by making tasks safer, faster, and more affordable. Beyond the machines themselves, the real progress comes from smart software that lets drones handle detailed tasks like cleaning, painting, and repair work on their own. This reduces the need for people to work in risky conditions and helps companies cut down on maintenance costs. As these tools continue to improve, they are becoming a practical solution for industries looking to boost safety and performance at the same time. We would like to thank our founding sponsor https://cloudnium.net/Links/Resources: Website: https://www.apellix.com/ LinkedIn: https://www.linkedin.com/in/bobdahlstrom/https://www.msn.com/en-us/news/technology/aerial-robotics-transform-industrial-maintenance/ar-AA1JU097?ocid=hpmsn&cvid=199471913c4143598957c9f623523b80&ei=6Find Amanda Razani on LinkedIn.  https://www.linkedin.com/in/amanda-razani-990a7233/Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/Visit the FTA website: https://fulltechahead.com/Check out the Substack Channel: https://fulltechahead.substack.com/