Twin Wolves
Twin Wolves
Balancing risk and reward to make the most of AI
About the Book
The Twin Wolves approach to AI adoption
Balancing the search for treasure and trouble
Businesses are either too bold or too timid when adopting AI. Both paths lead to costly project failures and missed opportunities, losing out on the best of what AI has to offer.
In Twin Wolves, longtime AI expert Q Mccallum (Black Box Tactics, Bad Data Handbook, Business Models for the Data Economy) describes an improved approach to AI built on the lessons of risk-taking and risk management. The rules in this book encourage a structured, forward-thinking balance of risk and reward for companies to get the most out of AI – from machine learning (ML) models to generative AI (genAI) chatbots and agents.
Readers will learn:
- Why risk management isn’t just a matter of sitting still.
- What it takes to develop a strategic approach to AI.
- How a healthy approach to risk-taking can improve your AI outcomes.
... and so much more.
Twin Wolves is written for every CxO and product owner who wants to reimagine how to transform their company's products, processes, and business model with AI.
(Cover image: Yomex Owo via Unsplash)
About the Author
Table of Contents
- Key terminology and concepts
- Risk management in AI
- Strategy/planning
- R&D
- Operations
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