What does it really take to move from AI pilots to intelligent enterprises that scale?

In this Season 17 opener of XTraw AI, the host Raghu Banda sits down with technology leader and CTO Siddharth Dixit for a thought-leadership conversation on architecting enterprise AI beyond the hype.

In this episode, we explore:

• What separates AI experiments from real enterprise intelligence?
• How should enterprises architect AI for scale, trust, and governance?
• What does leadership look like in an AI-first enterprise?

Tune in to kick off Season 17 of XTraw AI — a season dedicated to thought leadership, real-world experience, and the future of enterprise AI.

Happy predicting the future with AI technologies — and stay XTraw!

You can reach @ Sid Dixit

My LinkedIn @ Raghu Banda

Our Website @ XTraw AI

What if the most important AI story of 2025 wasn’t a model launch—but a mindset shift?

In this Year-End Special and Season 16 finale of XTraw AI, we, the XTraws - Raghu, Lukas, Sesh and Manjeet step back from the headlines to tell the real story of AI in 2025. Quarter by quarter, we unpack how AI moved from experimentation to execution—reshaping infrastructure, products, ecosystems, and governance along the way.

This episode isn’t about hype. It’s about the signals that mattered, the consequences that followed, and what 2025 quietly set in motion for 2026 and beyond—including a preview of Season 17’s new thought-leadership series.

• How 2025 became the year AI turned industrial, operational, and governed

• Why agents, infrastructure, and energy—not just models—defined the year

• What the real lessons of 2025 mean as we head into Season 17 and the AI landscape of 2026

You can reach @ Lukas @ Sesh @ Manjeet @ RaghuWebsite with more details @ XTraw AI

In this episode of XTraw AI, we explore how to build AI systems that don’t collapse when they leave the lab. Enterprise Service Management strategist Noureddine Oirkha shares lessons from government and large-scale transformations on designing AI that is scalable, governed, and sustainable.

In this episode, you’ll learn:

• Why most AI pilots fail to scale — and how to avoid creating technical and organizational debt

• How reference architectures, versioning, and decision logs prevent brittle automations and expensive rebuilds

• Practical frameworks for operationalizing AI at scale across governments and large enterprises

Perfect for leaders moving from experiments to enterprise-wide AI programs.

You can reach @ Noureddine Oirkha

My LinkedIn @ Raghu Banda

Our Website @ XTraw AI