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Discover how agentic AI is transforming businesses! Hosted by lowtouch.ai, the Agentic AI Podcast dives into real-world applications, success stories, and expert insights on no-code automation, enterprise AI adoption, and the future of intelligent agents. Perfect for CXOs, innovators, and tech enthusiasts looking to stay ahead in the AI era.
47 Episodes
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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we explore how AI is revolutionizing Ideal Customer Profile (ICP) building by moving beyond static spreadsheets and outdated assumptions.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.
1In 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.
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