Risk Management for AI

Applying risk management principles to AI strategy and AI transformation

The book

The Twin Wolves approach to risk-taking and risk management in AI.

Two wolves sniffing snow-covered ground.  Photo by Eva Blue via Unsplash.

In Twin Wolves, longtime AI expert Q Mccallum (Black Box Tactics, Parallel R, Bad Data Handbook, Business Models for the Data Economy) explores AI through the lens of risk-taking and risk management. You'll learn how to balance the twin forces of risk and reward in AI for maximum gain.

Read it to understand:

  • Why risk management isn't just a matter of sitting still.
  • How a healthy approach to risk-taking can improve your outcomes in AI.
  • How to evaluate your company's AI projects and products.

... and so much more.

This guide is written for every CxO, product owner, and other executive who is putting AI to work in their company. This covers the full range of AI technologies, which includes predictive modeling, machine learning (ML or ML/AI), and newer-age generative AI (genAI) like chatbots and agents.

The risk management approach gives you confidence and peace of mind. You can plan your AI transformation journey, accounting for the twists and turns ahead, and sail past competitors who struggle with AI adoption

Read Twin Wolves and prepare to get the most out of AI.

To acquire your copy, you can purchase the book on Leanpub.

(Cover image by Yomex Owo via Unsplash.)

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