A systematic framework for identifying opportunities and planning AI projects in a business context.
Who is this book for? Primarily for business people who want to establish AI in their company, but also for technical people (like me) who want to expand "technical planning" into a complete business project scope.
The author has been managing and supporting AI projects for a while and she writes about a breadth of topics: What should a company ensure before considering AI? When is AI not a good idea? How to identify high-impact AI opportunities? How to measure if a project was a success or failure?
I really enjoyed the book as it provides a framework for me to talk to other people in my job and lay out clear criteria about how to plan and when NOT to consider "AI" for a project.
A minor annoyance: The book introduces arbitrary abbreviations (typical for "business" frameworks in my experience). "PAI" is a "potential AI initiative" and the "HI-AI discovery framework" stands for "high impact AI initiatives". I think the content would work well without these terms and it would have been more readable.
Aside from that, the writing is clear, to the point and well-edited. I was positively surprised by the high quality of the layout and print, even though it appears to be distributed through Amazon's print-on-demand platform.
A systematic framework for identifying opportunities and planning AI projects in a business context.
Who is this book for? Primarily for business people who want to establish AI in their company, but also for technical people (like me) who want to expand "technical planning" into a complete business project scope.
The author has been managing and supporting AI projects for a while and she writes about a breadth of topics: What should a company ensure before considering AI? When is AI not a good idea? How to identify high-impact AI opportunities? How to measure if a project was a success or failure?
I really enjoyed the book as it provides a framework for me to talk to other people in my job and lay out clear criteria about how to plan and when NOT to consider "AI" for a project.
A minor annoyance: The book introduces arbitrary abbreviations (typical for "business" frameworks in my experience). "PAI" is a "potential AI initiative" and the "HI-AI discovery framework" stands for "high impact AI initiatives". I think the content would work well without these terms and it would have been more readable.
Aside from that, the writing is clear, to the point and well-edited. I was positively surprised by the high quality of the layout and print, even though it appears to be distributed through Amazon's print-on-demand platform.