XTraw AI: Machine Learning and AI Applications

Hosted by Venkata"Raghu Banda"

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Episodes

188

Latest episode

Jun 2026

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About the show

This is a podcast on the topics around machine learning and AI applications which happens 1-2 times a month.

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60 recent

June 12, 202654 min

#181 From Customer Support to Customer Intelligence

What happens when AI moves from customer support automation to true customer intelligence?In this Season 19 kickoff episode of XTrawAI, Raghu Banda speaks with Italo Belandria, Head of Customer – Americas at Ringover, about how AI is reshaping customer operations, omnichannel communication, and customer success.How AI is helping customer teams become more proactive and data-drivenWhy automation still needs empathy and the human touchHow Ringover is bringing communication, insights, and performance visibility togetherYou can reach @ Italo BelandriaMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

June 5, 2026Episode 1051 min

#180 Decentralizing Trust in the Age of AI with StorX Network

As AI agents become more autonomous, are we rethinking where their data lives and who controls it?In the Season 18 finale of XTraw AI, Raghu Banda sits down with Murphy Jo, Chief Growth Officer at StorX Network, to explore the intersection of AI, cybersecurity, decentralized infrastructure, and digital autonomy.Key highlights:• Why AI is driving new conversations around data security and ownership• How decentralized storage and DePIN networks are challenging traditional cloud models• What the future may look like as AI agents, trust, and infrastructure convergeTune in for an insightful discussion on the next generation of AI-ready infrastructure.Happy predicting the future with AI technologies, and stay XTraw!You can reach @ StorXMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

June 1, 2026Episode 91 hr 14 min

#179 May 2026 and the rise of the Agentic Enterprise

In this May 2026 AI news roundup, we move beyond the headlines and look at the bigger shift happening across the AI world: agents are becoming real, enterprises are learning how to manage them, and trust is becoming the gatekeeper for scale.This episode explores how AI is moving from simple chatbots to governed, enterprise-ready agents that can work across business processes.AI agents are entering real workflows: from voice agents and coding assistants to tax, legal, customer service, and advisory use cases.Enterprises now need an agent control plane: with governance, identity, permissions, audit trails, and lifecycle management.Trust is becoming the adoption gate: as safety, observability, evals, and accountability become critical for scaling AI responsibly.The big question for this episode:Are we still talking about better AI models, or are we now entering the era of managed AI workers?You can reach @ Sesh @ Lukas @ Manjeet @ Raghu

May 22, 2026Episode 855 min

#178 When AI finds the Breach first

Are enterprises defending against tomorrow’s AI threats — or yesterday’s security model?In this XTraw AI episode, Raghu Banda sits down with Shayak Mazumdar, Founder of Adya, to unpack what the next wave of frontier AI models really means for enterprise security, agentic AI, and governance.Why the real AI security risk is not sci-fi panic, but machine-speed discovery of hidden vulnerabilities across legacy systems, open-source dependencies, and enterprise stacksHow adversarial AI agents, deterministic verification, and runtime governance can help enterprises move beyond quarterly audits and human-speed defense modelsWhat Adya is building around enterprise agentic AI, Adaptive Governance Protocols, and Super Agent AI infrastructure for a world where AI systems both attack and defendYou can reach @ Shayak MazumdarMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

May 15, 2026Episode 71 hr 4 min

#177 The Hidden OS of AI Driven Engineering

What happens when the systems running the enterprise start thinking, healing, and optimizing themselves?In this episode of XTraw AI, Raghu Banda sits down with John Willis — one of the pioneers of the DevOps movement — to explore how AI is transforming modern engineering, operational intelligence, and enterprise infrastructure. From the evolution of DevOps to the rise of AI-driven operational systems, this conversation dives into the future of intelligent enterprises and what leaders must rethink before autonomy scales across the enterprise stack. In this episode:How DevOps evolved into platform engineering, observability, and AI-driven operationsWhy enterprises still struggle with operational complexity despite massive cloud and automation investmentsWhat AI means for the future of engineering teams, reliability, system governance, and intelligent infrastructureYou can reach @ John WillisJohn's book @ Rebels of ReasonMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

May 8, 2026Episode 652 min

#176 The Intelligent Content Layer with Box

What if your AI agents are making decisions… but you don’t fully control the knowledge they’re using?In this episode of XTraw AI, Raghu Banda speaks with Rand Wacker, Head of Product Strategy at Box, on a shift most enterprises are underestimating — AI is only as powerful (and as risky) as the content it can access. As organizations move from copilots to autonomous agents, the real battleground is no longer models… it’s enterprise knowledge and governance.Key highlights:• Why unstructured content is the real fuel behind AI agents, not just structured enterprise data• How to balance AI access vs. enterprise control in a world of sensitive, regulated information• Why governance is becoming the operating system for AI, not just a compliance checkboxYou can reach @ Rand WackerMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

May 1, 2026Episode 51 hr 14 min

#175 AI goes Operational in April 2026

What happens when AI stops being a demo and becomes the operating layer of business?April 2026 marked a major shift in the global AI story — from autonomous agents and orchestration protocols to context engineering, compute races, regulation, and new business models. In this episode, we break down the biggest AI news from around the world and what it means for enterprises, technology leaders, and the future of work.• AI agents moved from experiments to real-world execution• MCP, A2A, and context engineering reshaped the AI stack• Compute, governance, and monetization became global battlegroundsYou can reach @Manjeet @Sesh @Lukas @RaghuWebsite @ XTraw AI

April 17, 2026Episode 452 min

#174 AI for Service Businesses

What if your service business could reclaim 10–30 hours every week—without hiring or burning out your team?In this episode of XTrawAI, we sit down with Marvin from Bandsaw AI to explore how service-based businesses—agencies, consultancies, and operational teams—are using AI to eliminate repetitive work and unlock real capacity. This is not about flashy tools, but about building practical AI-driven workflows that directly impact delivery, margins, and team productivity.• Why most AI implementations fail in service businesses—and how to actually drive ROI• How to identify the first high-impact workflow to automate across delivery and operations• Real examples of AI systems removing manual work and creating scalable capacityYou can reach @ Marvin MartinezMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

April 10, 2026Episode 330 min

#173 AiHello for the Digital Autonomy

What does the future look like when AI begins to power smarter business decisions at scale?In this episode of XTraw AI, Raghu Banda speaks with Ganesh Krishnan, founder of AiHello and Halzero AI, about how AI is transforming ecommerce, digital marketing, and the next generation of intelligent business automation. Ganesh shares insights from building AI-driven platforms that help businesses optimize advertising, scale operations, and unlock new growth opportunities.In this episode:• How AI is transforming ecommerce advertising and digital marketing• The real business challenges behind scaling online marketplaces• The future of autonomous AI systems helping businesses make smarter decisionsYou can reach @ Ganesh KrishnanMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

April 3, 202655 min

#172 The Kubernetes moment for AI Agents

What happens when AI agents start interacting directly with enterprise systems?In this episode of XTraw AI, Raghu Banda speaks with Craig McLuckie, co creator of Kubernetes and Founder and CEO of Stacklok, about the emerging infrastructure required to safely deploy AI agents in real engineering and enterprise environments.As AI moves beyond experimentation into production workflows, the focus shifts from simply building smarter models to designing secure, governed, and context aware systems that can safely interact with critical business platforms.Key highlights from the episode• Why AI agents may become the next foundational infrastructure layer for enterprises• How security guardrails and context engineering are essential for connecting AI to sensitive systems• Lessons from Kubernetes and the cloud native movement that can guide the future of secure AI developmentYou can reach @ Craig McLuckieMy LinkedIn @ Raghu BandaOur Website @ XTraw AI