XTraw AI: Machine Learning and AI Applications

Hosted by Venkata"Raghu Banda"

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207

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Oct 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

October 23, 2026Episode 1044 min

#200 Who Signs off on the AI Agent

When AI agents are trusted to act, who decides when they should stop? In this Season 20 finale of XTraw AI, Raghu Banda sits down with Ashley Gross, Founder and CEO of The Alliance and author of The AI Workweek , to explore what enterprise-ready agentic AI really demands beyond the technology. How to design quality gates, approval points, and clear ownership for AI agents Why agent failures are often silent—and what enterprises should monitor instead How leaders can decide which business processes are truly ready for agent-assisted work You can reach @ Ashley Gross My LinkedIn @ Raghu Banda More information @ XTraw AI

October 16, 2026Episode 948 min

#199 Book Release - Agentic AI with SAP

What separates an AI pilot that impresses from one that actually runs the business? In this episode, Xtra — our AI host, interviews Raghu Banda and Shibaji Chandra, co-authors of Agentic AI with SAP (SAP PRESS, 2026), on what it really takes to put autonomous agents to work inside an SAP landscape. No hype, no slideware, just the architecture underneath the Autonomous Enterprise, from two practicing architects who’ve had to defend it to an audit committee. Why ~75% of enterprise AI stalls in pilot — and why the blocker is almost never the model Copilot vs. agent — what changes the moment software stops answering and starts acting on your system of record Build it, run it, trust it — the three build paths, agent security and governance, and how to prove real business value You can reach @ Raghu Band a @ Shibaji Chandr a on LinkedInMore info at XTraw AI Book details at Agentic AI with SAP (SAP Press)

October 9, 2026Episode 851 min

#198 Building AI Systems People Can Trust

Can we truly trust AI if we cannot explain, evaluate, or govern its decisions? In this episode of XTraw AI, host Raghu Banda welcomes Deonna Owens , Founder of TruthSysAI, and Aravind Arthanari , CIO of DashAI, to explore how AI fairness, research, and enterprise governance come together to build trustworthy AI systems. Key Highlights: Beyond AI Bias: Exploring fairness, multi-LLM evaluation, and the challenges of building responsible AI. The Governance Gap: Why enterprise AI needs accountability, transparency, and measurable controls—not just policies. Trust in Action: How continuous evaluation and governance can help organizations responsibly scale AI and autonomous agents. Tune in as we explore what it really takes to move from AI that works to AI we can trust. You can reach @ Deonna Owens @ Aravind Arthanari My LinkedIn @ Raghu Banda More Info @ XTraw AI

October 2, 2026Episode 753 min

#197 The Quarter AI becomes SI aka Super Intelligence - Q3 2026

AI in Q3 2026 was not just about better models but it was about AI beginning to act, connect, reason with context, and operate across real workflows . In this XTraw AI quarterly roundup, our panel unpacks the biggest developments across agents, orchestration, enterprise data, frontier models, governance, and AI economics. • Why Q3 may mark the shift from generative AI to agentic AI • How MCP, A2A, context engineering, and persistent agents are reshaping the stack • Why AI is becoming cheaper to use even as the infrastructure race gets dramatically more expensive A fast-moving quarter, six major themes, and one big question: Are enterprises ready to give AI responsibility, not just tasks? You can reach @ Lukas @ Manjeet @ Sesh @ Raghu Website and more info at XTraw AI

September 25, 202654 min

#196 Can AI think like your CEO

Generic AI can generate impressive answers but does it really understand your company, its strategy, culture, institutional knowledge, and how leadership makes decisions? In this episode of XTraw AI, Raghu Banda speaks with Wade Wyant, Founder of REDEGADES.AI , about moving beyond generic AI toward private, company-specific intelligence built as an AI Co-CxO . We explore: • Why generic AI falls short when business decisions require deep organizational context • How private AI can capture institutional knowledge and challenge executive assumptions • Where human judgment and accountability must remain as AI enters the executive decision-making process A thought-provoking look at what comes after generic copilots when AI that actually understands the business You can reach @ Wade Wyant My LinkedIn @ Raghu Banda Website @ XTraw AI

September 18, 2026Episode 549 min

#195 The AI Instinct

What if AI doesn’t just understand your decisions but starts influencing them? In this episode of XTrawAI, Raghu Banda speaks with Rana Gujral, CEO of Behavioral Signals and author of The AI Instinct , about the emerging intersection of AI, neuroscience, behavioral science, and human decision-making. • Can AI really understand emotion, intent, trust, and human behavior? • When does intelligent assistance cross into behavioral influence? • Are cognitive AI and hybrid intelligence redefining what it means to think with machines? You can reach @ Rana Gujral My LinkedIn @ Raghu Banda Further info @ XTraw AI

September 11, 2026Episode 353 min

#194 The AI Follow-up Agent

What if your business doesn’t have a lead problem, but a follow-up problem ? In this episode of XTraw AI, Raghu Banda sits down with Nathan Klug to explore how AI agents can reactivate dormant contacts, initiate authentic conversations, and turn overlooked relationships into business opportunities without losing the human element. From leads to relationships: Why existing contacts may be an untapped growth opportunity. AI as the face of your business: Balancing personalization, authenticity, trust, and human control. Agentic follow-up: How AI agents can move beyond automation to create meaningful conversations. You can reach @ Nathan Klug My LinkedIn @ Raghu Banda Website @ XTraw AI

September 7, 2026Episode 332 min

#193 When AI Starts to Act, who controls the Agentic Era?

August 2026 showed that the AI race is no longer just about building smarter models. The real shift is happening around the infrastructure that allows AI to act: agents, orchestration, context, governance, compute, and new business models. In this XTraw AI monthly news roundup, we break down the most important global developments across our six AI news buckets and explore what they mean for enterprises, technology leaders, and the broader AI ecosystem. Agents move into action: AI systems are becoming more persistent, connected, and capable of executing real work. Control becomes the new architecture: MCP, A2A, context engineering, identity, governance, and observability are emerging as critical foundations. AI economics gets real: Model costs are falling, infrastructure spending is soaring, and enterprises are beginning to measure AI through work completed and business outcomes. You can reach @ Manjeet @ Lukas @ Raghu Website at XTraw AI

September 4, 2026Episode 254 min

#192 Can AI be secure without Slowing People down

As AI becomes part of everyday work, enterprises face a difficult challenge: how do you protect identities, devices, applications, and data without making employees less productive? In this episode of XTraw AI , Raghu Banda speaks with Denis O’Shea, Founder and CEO of Mobile Mentor , about the changing security landscape, Zero Trust, passwordless identity, cloud-native workplaces, and why employee experience has become a critical part of enterprise security. We also explore a provocative question: are employees really the weakest link—or are poorly designed technology experiences pushing them toward risky workarounds? In this episode, we discuss: Why traditional security controls are struggling in an AI-enabled, hybrid workplace and what “secure by design” should mean today. How Zero Trust, passwordless identity, and cloud-native endpoint management can improve both security and employee productivity. Why AI adoption is ultimately an employee-experience challenge , and what enterprises must get right to turn AI investments into meaningful business value. You can reach @ Denis O'Shea My LinkedIn @ Raghu Banda Website @ XTrawAI

August 28, 2026Episode 151 min

#191 The Quality Layer for the Agentic Coding Era with OrangePro AI

What happens when AI can write code faster than enterprises can understand its risk? In this Season 20 opener of XTrawAI , Raghu Banda speaks with Aamir Siddiqui, Co-founder and CEO of OrangePro AI , about the growing quality challenge created by AI-powered software development. The conversation explores how frontier models and deterministic, behavior-level risk mapping can complement each other to help engineering teams identify hidden dependencies, testing gaps, and software risks before they reach production. How frontier AI models and deterministic software-risk mapping see the same codebase through very different lenses. Why behavior-level mapping, repeatability, and evidence can become critical for enterprise software quality and governance. How engineering teams can combine continuous deterministic risk analysis with deeper AI model reviews to create a stronger quality layer for the agentic coding era. You can reach @ Aamir Siddiqui My LinkedIn @ Raghu Banda Website @ XTraw AI and OrangePro AI More information on GitHub