- Key terminology and concepts
- Risk management in AI
- Strategy/planning
- R&D
- Operations
Twin Wolves
Balancing risk and reward to make the most of AI
The author is letting you choose the price you pay for this book!
A strategic, executive-level guide to making the most of your company's AI efforts.
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About
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)
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About the Author
Q McCallum
Hi! I'm Q McCallum. I work as a consultant, researcher, and writer -- with a focus on the intersection of AI and risk.
I host a blog on my website and write a newsletter called Complex Machinery.
My other written work includes Understanding Patterns of Disruption: Lessons Learned from the Cloud, Machine Learning, and More; Business Models for the Data Economy; Parallel R: Data Analysis in the Distributed World; and Bad Data Handbook: Mapping the World of Data Problems. I also write the occasional piece on O'Reilly Radar.
Contents
Table of Contents
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