The Ai Play Bk – Eric Siegel
Kshs 9,800.00
Kshs Loading...
In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.
“Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy.”—Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four“An antidote to today’s relentless AI hype—why some AI initiatives thrive while others fail and what it takes for companies and people to succeed.”—Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster BetterThe greatest tool is the hardest to use. Machine learning is the world’s most important general-purpose technology—but it’s notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects, aka predictive AI projects, from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals.
Beyond detailing the practice, this book also upskills business professionals—painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative—getting them right paves the way for machine learning’s value-driven deployment.
A note from the author:The buzzword AI can mean many things, but this book is about the most vital use cases of machine learning, those designed to improve large-scale business operations—aka predictive AI or predictive analytics.
Format: Hardback 248 pages, 20 BLACK AND WHITE ILLUS.
Classifications: Economics
ISBN : 9780262048903
Published : 6 Feb 2024
Author : Eric Siegel
Size : 161 x 236 x 26 (mm)
Weight : N/A
Out of stock
Delivery Information
We strive to ensure all orders are processed and delivered promptly.
- Order Processing: Orders are processed within 1–2 business days upon confirmation of order & payment.
- Delivery Timeline: Standard delivery typically takes 1–3 business days, depending on your location and courier availability.
- Shipment Updates: Once your order is dispatched, our sales agent shall contact you regarding the progress of your delivery.
- Delays: While we aim to deliver on time, unforeseen delays may occur due to customs clearance, courier challenges, or external factors. We will keep you updated should any delays arise.
Returns & Exchanges
We value your satisfaction and aim to make returns as smooth as possible.
- Eligibility: Items may be returned within 7 days of delivery, provided they are unused, in original packaging, and accompanied by proof of purchase.
- Non‑Returnable Items: Certain items such as story books / novels, offer / clearance products, personalized orders cannot be returned.
- Return Approval: All return requests must be reviewed and approved by our team before the item is sent back.
- Return Shipping: Return shipping costs are the responsibility of the customer unless the item received was damaged, defective, or incorrect.
- Refunds: Approved refunds will be processed within 5–7 business days after the returned item is inspected. Refunds are issued through the original payment method.
- Exchanges: If you wish to exchange an item, please contact us to confirm availability via our official EYS WhatsApp / call on +254 726 522 108.

