#159 AI Governance While Scaling episode artwork

EPISODE · Dec 26, 2025 · 55 MIN

#159 AI Governance While Scaling

from XTraw AI: Machine Learning and AI Applications · host Venkata"Raghu Banda"

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 debtHow reference architectures, versioning, and decision logs prevent brittle automations and expensive rebuildsPractical frameworks for operationalizing AI at scale across governments and large enterprisesPerfect for leaders moving from experiments to enterprise-wide AI programs.You can reach @ Noureddine OirkhaMy LinkedIn @ Raghu BandaOur Website @ XTraw AI

Episode metadata supplied by the publisher feed · Published Dec 26, 2025

Embed this episode

Ready to play

#159 AI Governance While Scaling

0:00 55:15

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of XTraw AI: Machine Learning and AI Applications?

This episode is 55 minutes long.

When was this XTraw AI: Machine Learning and AI Applications episode published?

This episode was published on December 26, 2025.

Can I download this XTraw AI: Machine Learning and AI Applications episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!