Predictable Volatility:

How to Future-Proof Your AI

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November 12

12 PM ET

Online Webinar

Explore the Book
Read Andrew J. Turner’s Predictable Volatility.

Eric Kavanagh

CEO

The Bloor Group

Andrew J. Turner

author of Predictable Volatility and lead of Decision Diagnostics

New models, more regulations, ever-changing data: welcome to the world of enterprise AI. Organizations are racing to deploy intelligent systems, but what happens when the assumptions behind them expire? And who decides when those assumptions no longer hold? Building for today’s constraints can leave companies rebuilding tomorrow, as pilots stall, roadmaps freeze, and technology debt accumulates.How can you design AI architecture that keeps pace?


Join this episode of DM Radio as host Eric Kavanagh explores the possibilities with Andrew J. Turner, author of Predictable Volatility and lead of Decision Diagnostics, a forensic intelligence practice, and Shawhin Mosadeghzad, Director of Agentic Intelligence at Simba. They’ll examine how sovereignty, governance, context, and decision-making help organizations adapt to new models, changing regulations, and evolving data without starting from scratch.

  • Why predictable volatility derails enterprise AI projects
  • How sovereignty, governance, context, and decision-making support adaptable architectures
  • How planning for change can reduce rework and technical debt
  • Which architectural patterns help accommodate new models and requirements
  • Who owns the assumptions behind an AI system and how to recognize when they have expired

Why 'Decision Architecture' Is Key to Success

What You’ll Learn

Shawhin Mosadeghzad

Director of Product

Simba

Discover how to build an architecture that can evolve

without starting over.