Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data, Strategy, Culture & Power: Win with Data-Centric AI by making human nature work for you

Data, Strategy, Culture & Power: Win with Data-Centric AI by making human nature work for you

Benton, Morgan C.
Radziwill, Nicole M.

Paperback

Business General

ISBN10: 0996916083
ISBN13: 9780996916080
Publisher: Lapis Lucera
Published: May 28 2024
Pages: 202
Weight: 0.61
Height: 0.43 Width: 6.00 Depth: 9.00
Language: English
Companies will spend more than $200B on AI hardware, software, systems & services each year from 2025 through 2030, but 75%+ of these initiatives are projected to fail. The remaining 25% will only realize a return on investment (ROI) of 6% or less... far short of the promise of AI.

What is everyone missing?

The best AI comes from the best data, and the best data comes from the best people. But even the best people are impacted by subconscious bias, past trauma, interpersonal relationships, and power dynamics... no one is immune to human nature. This book was written to help you navigate the pitfalls of perception, build a foundation for trust, and elevate organizational performance. Make your data and AI initiatives succeed where others fail.

Data, Strategy, Culture & Power is a must-read for anyone who works with (or uses) data, analytics, and AI in today's complex organizations. This book challenges the notion that data always leads to objective insights, exposing the ways in which power differentials and biases short circuit rational behavior - and what leaders can do about it.

Data can not be decoupled from power. By embracing the imperfections inherent in data and human nature, this book shows how data-centric AI can be both a blessing and a curse - and how you can make the best of it.

Part I: Navigating the Pitfalls of Perception

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