The Executive's Guide to AI and Analytics : The Foundations of Execution and Success in the New World

Scott Burk

ISBN 10: 103200794X / ISBN 13: 9781032007946

Editore: Productivity Press, 2022

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nach der Bestellung gedruckt Neuware - Printed after ordering - The Problem Companies are failing to deliver on AI and analytics with over half stating they are 'not yet treating data as a business asset'. Over half admit that they are not competing on data and analytics. Seven out of 10 companies in a 2020 MIT study reported minimal or no impact from AI so far. Among the 90% of companies that have made some investment in AI, fewer than 2 out of 5 (40%) report business gains from AI in the past three years. And only about 25% of organizations have actually forged this data-driven culture.Is investment lacking No. Companies now are spending more than ever in data, analytics, and AI technologies. Is it a lack of technology No. There are fascinating breakthroughs occurring on all fronts with image, voice, and streaming pattern recognition on the forefront. Is it a lack of technical talent Not really. While some studies cite that we need to train more data scientists, developers, and related professionals, the curve of demand by supply is dampening.Is it a lack of creating an executable strategic plan Yes. While there has been a lot of strategic wishing, organizations lack meaningful strategic plans. Specifically, the development of executable strategies and the leadership to see these strategies brought to fruition. This is the problem.Lack of execution and lack of incorporating key components that align and enable execution of the business strategy to delivery is killing AI and analytics programs. Scott Burk and Gary D. Miner have written this book for executives at all levels who are charged with executing on analytics that need to address this issue. The book provides unique insights into repairing the gaps that programs need to fill to provide value from analytics programs. It complements their three-part series, It's All Analytics! by focusing on leadership decisions that augment data literacy, organizational architecture, and AI case studies.

Codice articolo 9781032007946

Dati bibliografici

• Titolo: The Executive's Guide to AI and Analytics : The Foundations of Execution and Success in the New World
• Editore: Productivity Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 103200794X
• ISBN 13: 9781032007946
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 229 L x 152 A x 8 P (millimetri) 229 millimetri di larghezza per 152 millimetri di altezza per 8 millimetri di profondità
• Peso: 215 grammi

Descrizione articolo

Riassunto

The Problem? Companies are failing to deliver on AI and analytics with over half stating they are "not yet treating data as a business asset". Over half admit that they are not competing on data and analytics. Seven out of 10 companies in a 2020 MIT study reported minimal or no impact from AI so far. Among the 90% of companies that have made some investment in AI, fewer than 2 out of 5 (40%) report business gains from AI in the past three years. And only about 25% of organizations have actually forged this data-driven culture.

Is investment lacking? No. Companies now are spending more than ever in data, analytics, and AI technologies.

Is it a lack of technology? No. There are fascinating breakthroughs occurring on all fronts with image, voice, and streaming pattern recognition on the forefront.

Is it a lack of technical talent? Not really. While some studies cite that we need to train more data scientists, developers, and related professionals, the curve of demand by supply is dampening.

Is it a lack of creating an executable strategic plan? Yes. While there has been a lot of strategic wishing, organizations lack meaningful strategic plans. Specifically, the development of executable strategies and the leadership to see these strategies brought to fruition. This is the problem.

Lack of execution and lack of incorporating key components that align and enable execution of the business strategy to delivery is killing AI and analytics programs. Scott Burk and Gary D. Miner have written this book for executives at all levels who are charged with executing on analytics that need to address this issue. The book provides unique insights into repairing the gaps that programs need to fill to provide value from analytics programs. It complements their three-part series, It’s All Analytics! by focusing on leadership decisions that augment data literacy, organizational architecture, and AI case studies.

Informazioni sull?autore

Scott Burk, Gary D. Miner