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About the book
Winning with AI is a practical playbook for enterprise leaders looking to move beyond AI experimentation and build a sustainable, value-driven AI capability.
The book begins by establishing that AI strategy must start with business outcomes, not technology. It walks through assessing organizational AI maturity, building an AI-first mindset, and laying the data and digital foundations that make AI possible. The core of the book covers designing an AI strategy around eight pillars - vision, business value, operating model, funding, data platforms, risk, literacy, and change management.
The book also tackles responsible AI, measurement frameworks, and lifecycle governance, arguing that ethics and governance accelerate scale rather than impede it.
It closes with industry best practices and common mistakes, distilling everything into a clear message: start with business problems, build solid foundations, govern proportionately, invest in people, and treat AI as a compounding organizational asset - not a one-time project.
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WINNING WITH AI : A PRACTICAL AI STRATEGY PLAYBOOK FOR ENTERPRISES
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WINNING WITH AI : A PRACTICAL AI STRATEGY PLAYBOOK FOR ENTERPRISES
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Winning with AI
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798903928781
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Winning with AI
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WINNING WITH AI: A PRACTICAL AI STRATEGY PLAYBOOK FOR ENTERPRISES
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WINNING WITH AI : A PRACTICAL AI STRATEGY PLAYBOOK FOR ENTERPRISES
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WINNING WITH AI : A PRACTICAL AI STRATEGY PLAYBOOK FOR ENTERPRISES
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: As New. Unread book in perfect condition. Codice articolo 53468949
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Winning with AI : A Practical AI Strategy Playbook for Enterprises
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Neuware - About the bookWinning with AI is a practical playbook for enterprise leaders looking to move beyond AI experimentation and build a sustainable, value-driven AI capability.The book begins by establishing that AI strategy must start with business outcomes, not technology. It walks through assessing organizational AI maturity, building an AI-first mindset, and laying the data and digital foundations that make AI possible. The core of the book covers designing an AI strategy around eight pillars - vision, business value, operating model, funding, data platforms, risk, literacy, and change management.The book also tackles responsible AI, measurement frameworks, and lifecycle governance, arguing that ethics and governance accelerate scale rather than impede it.It closes with industry best practices and common mistakes, distilling everything into a clear message: start with business problems, build solid foundations, govern proportionately, invest in people, and treat AI as a compounding organizational asset - not a one-time project. Codice articolo 9798903928781
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Winning with AI (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
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Paperback. Condizione: new. Paperback. About the bookWinning with AI is a practical playbook for enterprise leaders looking to move beyond AI experimentation and build a sustainable, value-driven AI capability.The book begins by establishing that AI strategy must start with business outcomes, not technology. It walks through assessing organizational AI maturity, building an AI-first mindset, and laying the data and digital foundations that make AI possible. The core of the book covers designing an AI strategy around eight pillars - vision, business value, operating model, funding, data platforms, risk, literacy, and change management.The book also tackles responsible AI, measurement frameworks, and lifecycle governance, arguing that ethics and governance accelerate scale rather than impede it.It closes with industry best practices and common mistakes, distilling everything into a clear message: start with business problems, build solid foundations, govern proportionately, invest in people, and treat AI as a compounding organizational asset - not a one-time project. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798903928781
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