XTraw AI: Machine Learning and AI Applications

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 modelCopilot vs. agent — what changes the moment software stops answering and starts acting on your system of recordBuild it, run it, trust it — the three build paths, agent security and governance, and how to prove real business valueYou can reach @ Raghu Banda @ Shibaji Chandra on LinkedInMore info at XTraw AIBook details at Agentic AI with SAP (SAP Press)

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 BandaMore Info @ XTraw AI

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 expensiveA 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 @ RaghuWebsite and more info at XTraw AI

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 processA thought-provoking look at what comes after generic copilots when AI that actually understands the businessYou can reach @ Wade WyantMy LinkedIn @ Raghu BandaWebsite @ XTraw AI

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 GujralMy LinkedIn @ Raghu BandaFurther info @ XTraw AI