XTraw AI: Machine Learning and AI Applications

#169 Building Intelligent Products for the next Billion Users

XTraw AI: Machine Learning and AI Applications

Show Notes

In this episode of XTraw AI, host Raghu Banda sits down with product leader Vinod Suresh to explore how artificial intelligence is reshaping modern products, customer experiences, and platform innovation at scale. From building AI-driven capabilities for millions of users to balancing innovation with responsible design, this conversation dives into the real-world challenges and opportunities of embedding AI into products and platforms. What you’ll hear in this episode: • AI-Powered Product Innovation – How AI is transforming product management and enabling intelligent, customer-centric experiences across digital platforms. • From Hype to Real Impact – The biggest challenges enterprises face when adopting AI and what it takes to move from experimentation to scalable AI solutions. • Designing Human-Centric AI – Why the future of AI products depends on trust, usability, and thoughtful integration into everyday customer workflows. You can reach @ Vinod Suresh My LinkedIn @ Raghu Banda Our Website @ XTraw AI

More from XTraw AI: Machine Learning and AI Applications

Oct 23, 2026

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

Oct 16, 2026

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 Banda @ Shibaji Chandra on LinkedInMore info at XTraw AI Book details at Agentic AI with SAP (SAP Press)

Oct 9, 2026

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.

Oct 2, 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

Sep 25, 2026

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

See all episodes →