Agentic AI Podcast

In this episode, we introduce vLLM, an open-source library designed to dramatically improve the speed and efficiency of large language model (LLM) inference. We break down how vLLM uses techniques like PagedAttention to optimize memory usage, increase throughput, and reduce latency—making it ideal for serving LLMs in production environments. Whether you're building AI-powered applications or scaling agentic systems, this episode explains why vLLM is becoming a go-to solution for cost-effective, high-performance model deployment. 

In this episode, we explore how 3D AI chips are overcoming the long-standing “memory wall” that limits AI performance. By stacking memory and compute vertically, these next-generation architectures dramatically reduce latency, boost bandwidth, and improve energy efficiency. We break down why traditional chip designs struggle to keep up with modern AI workloads and how 3D integration is unlocking faster training, real-time inference, and scalable agentic systems. Tune in to understand why breakthroughs in hardware, not just software are shaping the next era of AI innovation. 

In this episode, we explore Andrej Karpathy’s evolving vision for software development—from “vibe coding,” where developers collaborate intuitively with AI, to full-scale agentic engineering, where AI agents take on autonomous building, debugging, and optimization tasks. We break down how this shift changes the role of developers—from writing every line of code to orchestrating intelligent systems. Tune in to understand how AI-native workflows are redefining productivity, creativity, and the very craft of software engineering. 

 In this episode, we explore how AI is transforming B2B marketing, from smarter lead scoring and personalized account-based marketing to content generation and performance optimization. We discuss how AI helps marketers move beyond broad campaigns to data-driven, intent-led strategies that align sales and marketing more closely. Tune in to learn how enterprises are using AI not just to automate marketing tasks, but to drive better pipeline quality, higher conversion rates, and measurable revenue impact. 

 In this episode, we unpack OpenAI’s “Frontier” , the idea and direction behind the most advanced, high-capability AI systems being developed today. We explore what makes a model “frontier,” how these systems differ from everyday AI tools, and why they raise new questions around safety, governance, and real-world impact. From reasoning and autonomy to enterprise and societal implications, this episode helps you understand why frontier models are shaping the next phase of AI and what that means for businesses preparing for agentic AI. 

 In this episode, we explore how AI-driven Log Management Systems (LMS) with log correlation and agentic intelligence are helping banks meet stringent compliance requirements like RBI, PCI-DSS, ISO 27001, and SOC. We break down how AI correlation reduces alert noise, detects anomalies across fragmented systems, and enables faster audits, real-time threat detection, and automated compliance reporting. Tune in to understand why modern LMS platforms are no longer just monitoring tools—but critical compliance and risk-management engines for today’s regulated banking environments. 

 In this episode, we tackle the growing AI trust gap—the widening disconnect between rapid AI adoption and enterprise readiness for security, governance, and control. As organizations move toward agentic AI systems that can act autonomously, traditional security models fall short. We explore what’s driving this trust gap, the risks of unchecked AI agents, and how enterprises can redesign AI security with private infrastructure, guardrails, and policy-driven oversight. Tune in to learn how leaders can build trust before agentic AI becomes deeply embedded in mission-critical workflows. 

 In this episode, we explore how AI-powered self-service platforms are eliminating common DevOps bottlenecks that slow down modern engineering teams. From automated provisioning and intelligent incident resolution to self-healing infrastructure and on-demand access to tools, we break down how agentic AI enables developers to move faster without overloading DevOps teams. Tune in to learn how enterprises are scaling engineering productivity while maintaining reliability, security, and control. 

 In this episode, we walk through a practical, enterprise-ready approach to implementing AI agents—from strategy to deployment. We cover how to identify the right use cases, design agentic workflows, integrate with existing systems, and put the right security and governance in place. Whether you’re just starting with AI or looking to scale beyond pilots, this episode serves as a clear roadmap for turning AI agents into reliable, production-grade capabilities that deliver real business impact. 

In this episode, we unpack Satya Nadella’s Frontier Framework, a strategic roadmap that helps enterprises move from isolated AI experiments to organization-wide AI transformation. We explore its four core pillars—employee productivity, customer experience, business process reinvention, and product innovation—and why proprietary data and intelligent agents, not just models, are the real sources of competitive advantage. 

 In this episode, we explore the critical shift from fragmented AI experimentation in 2025 to full-scale enterprise transformation by 2026. While AI adoption is already widespread, many organizations remain stuck with siloed data and disconnected tools. We discuss why the next phase centers on agentic AI systems, private infrastructure, and deep workflow integration, where intelligence becomes embedded into the core of the business. 

 In this episode, we trace the evolution of operations roles—from SysAdmins managing servers, to DevOps accelerating delivery, to SREs ensuring reliability, and now to the rise of the AI Ops Engineer. We explore how agentic AI, automation, and AIOps are reshaping responsibilities—shifting humans from manual firefighting to overseeing autonomous systems. Tune in to understand the skills, mindset, and tools needed to thrive in the next phase of enterprise operations. 

 In this episode, we dive into the escalating rivalry between Google Gemini and OpenAI, as the AI race hits a critical “code red” moment. We compare their models, ecosystems, and strategic moves—from multimodal capabilities and developer platforms to enterprise adoption and agentic workflows. More importantly, we unpack what this high-stakes competition means for businesses, builders, and the future of AI innovation. Tune in to understand who’s leading, where the real differentiation lies, and how enterprises should position themselves amid the fast-moving AI landscape. 

In this episode, we unpack how AWS re:Invent has evolved into a major launchpad for agentic AI. From new foundation model offerings and AI-native cloud services to tools that enable autonomous agents at scale, AWS is positioning the cloud as the backbone for the next wave of enterprise AI. We explore the key announcements, architectural shifts, and what they mean for builders, CIOs, and enterprises preparing to deploy agentic AI in production. 

 In this episode, we clearly demystify the differences between LLMs, AI workflows, and AI agents—three terms often used interchangeably but fundamentally different in enterprise impact. We explain where LLMs fit as intelligence engines, how AI workflows automate predefined processes, and why agentic AI represents the next leap with autonomous decision-making and action. Designed for CIOs, CTOs, and business leaders, this episode helps you choose the right approach based on scale, complexity, and business outcomes—without getting lost in technical jargon. 

 In this episode, we break down the Agentic AI architectural blueprint for centralized log management—a new approach to handling the growing complexity of modern DevOps environments. Traditional monitoring tools struggle with fragmented data across multi-cloud and microservices, leading to delayed responses and compliance challenges. We explore how AI-driven log management and AIOps enable real-time anomaly detection, predictive maintenance, and automated root-cause analysis. Powered by autonomous AI agents, this system can even trigger self-healing workflows, drastically reducing MTTR and alert fatigue. Tune in to discover how enterprises can achieve operational autonomy and smarter observability with Agentic AI. 

 In this episode, we explore the idea of AI as the new enterprise utility—an invisible yet indispensable force powering everything from automation and analytics to decision-making and innovation. Just like electricity or the internet, AI is becoming a background enabler that quietly transforms how businesses operate. We discuss how forward-thinking organizations are embedding AI into everyday workflows, turning it from a flashy trend into a core operational layer that drives scale, efficiency, and adaptability. 

 In this episode, we explore how enterprises can now build conversational intelligence systems in just weeks using advanced AI and no-code frameworks. From customer support and sales enablement to internal knowledge assistants, we break down how agentic AI enables rapid deployment, contextual understanding, and seamless integration with existing enterprise data. Tune in to learn how companies are accelerating transformation, enhancing customer experience, and unlocking new insights—without lengthy development cycles. 

 In this episode, we explore how enterprises can now build conversational intelligence systems in just weeks using advanced AI and no-code frameworks. From customer support and sales enablement to internal knowledge assistants, we break down how agentic AI enables rapid deployment, contextual understanding, and seamless integration with existing enterprise data. Tune in to learn how companies are accelerating transformation, enhancing customer experience, and unlocking new insights—without lengthy development cycles. 

Discover how Salesforce’s leap to AI-powered workflows has unlocked roughly $100 million in annual savings—and what that means for the future of enterprise automation. From automating routine tasks to surfacing new revenue opportunities, we unpack the transformation of customer service into a strategic engine. 

 On October 20, 2025, a DNS mis-configuration at Amazon Web Services triggered a global outage—revealing how fragile modern cloud stacks really are. This episode breaks down what happened, the ripple effects across sectors, and how enterprises can protect themselves against single-region, DNS-driven failure. 

 Traditional RPA has reached its limits in handling complex, variable invoices. In this episode, we explore how agentic AI takes automation further—using reasoning, perception, and autonomous action to cut exceptions, boost accuracy, and free finance teams from manual work. Discover how invoice processing is evolving from rigid bots to intelligent agents. 

 In this episode, we uncover the rising wave of AI-driven scams and fraud tactics shaping 2025. From deepfake impersonations and synthetic identity fraud to automated phishing, AI-powered social engineering, and fake investment schemes, we break down the five biggest threats enterprises and consumers need to watch. More importantly, we explore how agentic AI and cybersecurity tools can help detect, prevent, and respond to these evolving risks. Tune in to stay one step ahead of bad actors in the AI era. 

 In this episode, we unpack the infrastructure demands of agentic AI and what enterprises must do to prepare their networks and cloud environments. From high-throughput, low-latency requirements to edge computing, bandwidth optimization, and GPU-powered cloud clusters, we break down the technical backbone that makes scalable AI possible. We also explore cost, security, and compliance considerations as organizations adapt their IT stacks for the next wave of AI. Tune in to discover how to future-proof your enterprise infrastructure for agentic AI. 

 In this episode, we unpack the infrastructure demands of agentic AI and what enterprises must do to prepare their networks and cloud environments. From high-throughput, low-latency requirements to edge computing, bandwidth optimization, and GPU-powered cloud clusters, we break down the technical backbone that makes scalable AI possible. We also explore cost, security, and compliance considerations as organizations adapt their IT stacks for the next wave of AI. Tune in to discover how to future-proof your enterprise infrastructure for agentic AI. 

 In this episode, we explore how AI is revolutionizing Ideal Customer Profile (ICP) building by moving beyond static spreadsheets and outdated assumptions. With real-time data analysis, adaptive learning, and predictive insights, AI creates living ICPs that evolve with market shifts and buyer behavior. We discuss how this transformation boosts conversion rates, sharpens targeting, and helps sales and marketing teams align more effectively. Tune in to discover how agentic AI is turning ICP building into a dynamic growth engine for enterprises. 

 In this episode, we dive into how top-performing sales teams are leveraging agentic AI to gain a competitive edge. From automating lead qualification and CRM updates to providing real-time deal insights and personalized outreach, AI agents are becoming indispensable digital teammates. We highlight real-world examples of how sales organizations are closing deals faster, improving accuracy, and scaling without adding headcount. Tune in to learn how agentic AI is reshaping the future of sales success. 

 In this episode, we explore the surge in AI startup mergers and acquisitions in 2025 and what it means for enterprise innovation. From strategic acquihires to billion-dollar buyouts, we unpack why big tech and enterprises are racing to acquire AI talent and IP. We also dive into how this consolidation wave is reshaping the competitive landscape, accelerating AI adoption, and creating new opportunities—and risks—for CIOs and tech leaders. Tune in to understand the business impact behind the M&A headlines. 

In this episode, we explore how forward-thinking CIOs are turning Gen AI hype into hybrid AI strategies that actually deliver business value in 2025. From balancing in-house models with third-party tools to navigating security, compliance, and scalability, we break down the practical blueprint CIOs are using to operationalize AI across their organizations. Tune in to discover how enterprise leaders are aligning Gen AI with real-world outcomes—without getting lost in the noise.

 In this episode, we explore the bold question: Can agentic AI eliminate the need for DevOps altogether? As AI agents grow smarter and more autonomous, they're taking over tasks like deployment, monitoring, incident resolution, and infrastructure management. We break down how this shift from DevOps to NoOps could revolutionize software delivery, reduce human intervention, and accelerate innovation—while also raising questions about reliability, control, and governance. Tune in to find out if NoOps is the future or just another buzzword. 

In this episode of the Agentic AI Podcast by lowtouch.ai, host Rejith chats with Vinod, a seasoned IT leader with 25+ years in tech transformations at giants like Fidelity and MassMutual. As a fractional CTO, Vinod shares actionable insights on making your data platform AI-ready—from clean data and modern architectures to governance and security. Discover why AI thrives on trusted data, how platforms like Microsoft Fabric, Databricks, and Snowflake stack up, and practical steps to move from AI pilots to enterprise-scale impact.Whether you're a CIO, CTO, or business leader, learn how to prioritize high-value use cases, avoid common pitfalls, and build responsible AI without disrupting operations.

 In this episode, we explore LMCache, a powerful technique that uses caching mechanisms to dramatically improve the efficiency and responsiveness of large language models (LLMs). By storing and reusing previous outputs, LMCache reduces redundant computation, speeds up inference, and cuts operational costs—especially in enterprise-scale deployments. We break down how it works, when to use it, and how it's shaping the next generation of fast, cost-effective AI systems. 

In this episode, Rejith Krishnan and Biji Thomas discuss how the UAE is leveraging AI to transform key sectors like oil & gas, tourism, and logistics. From predictive maintenance in energy infrastructure to personalized travel experiences and autonomous supply chains, AI is fueling innovation across the Emirates. We also examine the unique challenges—like data localization, talent gaps, and regulatory frameworks—that shape AI adoption in the region. Tune in for a deep dive into how the UAE is positioning itself as a global AI hub.

 In this episode, we uncover the common reasons behind the high failure rate of agentic AI projects—from unclear objectives and poor context design to lack of integration and human oversight. We break down real-world pitfalls, offer practical strategies for success, and share a framework for building scalable, reliable agent-based systems. Whether you're launching your first AI agent or scaling enterprise automation, this episode will help you avoid costly mistakes and unlock the full potential of agentic AI. 

In this episode, we explore how the Opera Neon AI browser is transforming the web experience with built-in intelligence. From contextual search and AI summaries to task-based browsing and voice-driven commands, Opera Neon blends AI into every interaction. We discuss its sleek visual design, productivity-focused features, and how it challenges traditional browser models. Tune in to discover how AI-powered browsing is evolving from passive navigation to proactive digital assistance.

 In this episode, we explore how leading food brands Such as Pepsi, Nestle and others are using AI and data analytics to decode consumer behavior—tracking preferences, predicting trends, and personalizing marketing in real time. From analyzing purchase patterns to optimizing flavor development and packaging, we break down how AI-driven insights are helping brands stay ahead in a fast-changing market. Tune in to discover how the food industry is blending data and taste to better serve today’s conscious, connected consumer. 

 In this episode, we compare two leading frameworks shaping the future of agentic AI: the LangChain Agent Protocol (LCAP) and the Open Agent Protocol (OAP). We explore their architectural differences, interoperability, community support, and real-world applications. Whether you're building custom agents for enterprise automation or integrating open-source agent systems, this episode will help you understand the strengths and limitations of each approach—and how to choose the one that fits your AI strategy. 

 In this episode, we break down the key differences between Large Language Models (LLMs) and Small Language Models (SLMs). While LLMs like GPT-4 dominate with broad capabilities and massive datasets, SLMs are emerging as lightweight, cost-efficient alternatives optimized for specific tasks and edge deployments. We explore their use cases, trade-offs in accuracy vs. speed, and how enterprises can choose the right model based on context, control, and cost. Whether you’re building AI at scale or deploying on-device assistants, this episode helps you navigate the evolving landscape of language models. 

 In this episode, we break down Alibaba’s latest AI advancements—Qwen2.5, Wan2.1, and QWQ-32B—and what they mean for the future of large language models and multimodal AI. We explore how Qwen2.5 builds on previous open-source models with improved reasoning and instruction-following, how Wan2.1 pushes boundaries in vision-language tasks, and how QWQ-32B combines scale with real-world performance. Tune in to understand Alibaba’s growing role in global AI innovation and how these models compare with Western counterparts. 

n this episode, we explore the latest updates in Grok 4, the AI assistant developed by xAI. We break down its new capabilities, including improved reasoning, faster context switching, and tighter integration with real-time data via X (formerly Twitter). From multimodal understanding to more accurate code generation, Grok 4 is stepping up as a powerful contender in the world of agentic AI. Tune in to learn how these updates enhance productivity, creativity, and real-world applications across industries.

In this episode we discuss the critical issues surrounding artificial intelligence (AI) agents, particularly when they operate autonomously in enterprise settings. Highlights a recent incident with a "rogue" coding agent from Replit, using it as a cautionary tale to discuss the need for trust, transparency, and compliance in AI deployment.

In this episode, we explore how Cloudflare’s AI bot-blocking measures are reshaping the landscape of web data access and scraping. As AI models increasingly rely on real-time web data, Cloudflare’s aggressive protection of websites challenges how AI systems are trained and deployed. We discuss the implications for developers, startups, and enterprises—balancing ethical AI use, copyright concerns, and the open web. Tune in to understand how this shift could redefine the relationship between AI, content, and the internet. 

 In this episode, we explore how Perplexity Labs is taking AI search to the next level—turning simple queries into full-fledged project development workflows. By combining retrieval-augmented generation (RAG), real-time data access, and task-oriented agents, Perplexity is shifting the AI search experience from just answering questions to actually building solutions. Tune in to discover how this new paradigm is reshaping research, development, and productivity across industries. 

 In this episode, we dive into 10 powerful AI tools that are redefining how enterprises automate workflows, boost productivity, and scale operations in 2024. From no-code platforms like Lowtouch.ai and n8n, to intelligent customer support tools like Forethought and Intercom, we explore how organizations are cutting costs, accelerating processes, and improving decision-making—without increasing headcount. Whether you're in IT, operations, or leadership, this episode offers a practical roadmap to smarter, AI-driven enterprise automation. 

In this episode, we explore how Grammarly has evolved beyond grammar correction into a full-fledged AI productivity platform. With features like tone detection, real-time rewriting, and context-aware suggestions, Grammarly is helping individuals and teams communicate faster, clearer, and more effectively. We dive into how its AI infrastructure is enabling seamless collaboration, boosting workplace efficiency, and redefining what it means to write at work in the age of agentic AI.

In this episode, we unpack Capgemini’s $3.3 billion acquisition of WNS and what it signals for the future of agentic AI in enterprise services. We explore how this move strengthens Capgemini’s position in AI-powered BPO, automation, and digital transformation—combining WNS’s domain expertise with Capgemini’s tech and AI capabilities. Tune in to understand the strategic implications of this deal and how it reflects the growing shift toward AI-first service delivery models across industries.

 In this episode, we explore why the future of working with AI isn’t just about writing better prompts—it's about context engineering. We dive into how structuring memory, retrieving relevant data, and designing multi-step reasoning workflows are now critical for building intelligent, reliable AI agents. Whether you're a developer, strategist, or AI enthusiast, this episode reveals why mastering context—not just commands—is the real game-changer in the age of agentic AI. 

 In this episode, we explore how agentic AI teams are enabling businesses to scale faster and smarter—without expanding headcount. From automating workflows and decision-making to handling customer interactions and internal operations, AI agents can function like digital team members that work 24/7. We dive into real-world use cases, benefits, and strategic considerations for leaders looking to grow efficiently in a talent-constrained market. Discover how to build lean, AI-augmented teams that deliver more with less. 

 In this episode, we explore how AI agents are elevating the luxury hospitality experience—from personalized concierge services and intelligent room automation to dynamic pricing and guest sentiment analysis. We dive into how hotels are using agentic AI to anticipate guest needs, streamline operations, and deliver ultra-personalized service at scale. Whether it’s optimizing staffing or creating memorable guest journeys, this episode reveals how AI agents are redefining luxury in the hospitality industry. 

 In this episode, we explore how n8n, a popular no-code automation platform, empowers users to create powerful workflows without writing code. From integrating apps and automating repetitive tasks to building complex business logic, n8n gives teams the flexibility to move fast and innovate. We break down key features, real-world use cases, and why no-code automation is becoming essential for businesses looking to boost efficiency and agility.