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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.
38 Episodes
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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.
In this episode, we explore how autonomous AI is driving a new wave of transformation in the Business Process Outsourcing (BPO) industry. By automating repetitive tasks, enhancing decision-making, and enabling 24/7 operations, AI agents are helping BPO firms achieve greater efficiency, scale services rapidly, and unlock new innovation opportunities. We discuss real-world use cases across customer support, finance, HR, and more—showing how autonomous AI is reshaping the future of BPO.
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