19d • Data for AI
Book recommendation on AI management
Dear Community,
I would like to recommend a recently published book I have read:
Mostly Fine, How to manage AI without burning down the company https://amzn.eu/d/0evy3sMB
because it speaks directly to the messy realities of enterprise AI adoption: silent failures, hard-to-measure ROI, weak adoption, fragile production rollouts, and the many challenges that emerge when AI meets real business processes.
It is not an AI primer. It is a management guide for leaders who already understand that AI matters, but now need to make it useful, measurable, governable, and economically justified.
Several topics seem especially relevant to many retailers: build-vs-buy decisions, vendor opacity, total cost of ownership, AI lifecycle management, evaluation, observability, and the operating-model questions that come with scaling AI across business functions.
The book also addresses a deeper issue: AI systems often struggle with poor judgment in ambiguous situations, exceptions that fall outside the happy path, and misalignment with organisational intent.
Let me know what you think.
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Book recommendation on AI management
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