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Artwork for XTraw AI: Machine Learning and AI Applications

XTraw AI: Machine Learning and AI Applications

Venkata"Raghu Banda"

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

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  • 23 episodes
  • weekly
  • Avg 52 min
  • English
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • S18 · E9
    June 1 · 1 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

  • S18 · E8
    May 22 · 55 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 stacks How adversarial AI agents, deterministic verification, and runtime governance can help enterprises move beyond quarterly audits and human-speed defense models What Adya is building around enterprise agentic AI, Adaptive Governance Protocols, and Super Agent AI infrastructure for a world where AI systems both attack and defend You can reach @ Shayak MazumdarMy LinkedIn @ Raghu Banda Our Website @ XTraw AI

  • S18 · E7
    May 15 · 1 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 operations Why enterprises still struggle with operational complexity despite massive cloud and automation investments What AI means for the future of engineering teams, reliability, system governance, and intelligent infrastructure You can reach @ John Willis John's book @ Rebels of Reason My LinkedIn @ Raghu Banda Our Website @ XTraw AI

Showing 21–23 of 23 episodes