UID:
almahu_9949385615502882
Format:
1 online resource (139 pages)
ISBN:
9781000596328
,
100059632X
,
9781003175759
,
1003175759
,
9781000596298
,
100059629X
Content:
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
Note:
Cover -- Half Title -- Dedication -- Title Page -- Copyright Page -- Table of Contents -- Authors -- Chapter 1 Introduction: Sources of Failure -- Chapter 2 AI and Analytics Failure and How to Overcome It -- What Is Execution and Why Is It Important? -- Execution Is Integral to Strategy -- Job #1 for Leaders = Execution -- Execution Must Be the DNA of the Organization's Culture -- Why Don't People Get It? -- The Illusion of the Visionary Leader -- Leadership Priorities for Establishing Successful AI and Analytics Programs -- Understand Your People and Your Business
,
Eliminate the Inside Game: Insist on Facts -- Goal Setting -- Set the Minimum Number of Goals Possible and Make Them Crystal Clear -- Target Goals and Make Them Operational -- Make Goals Personal -- Make Goals Measurable -- Follow Through -- Reward Program Performers -- Expand People's Capabilities -- A Leader's Character -- Foundations of the New AI and Analytics Culture -- Making Culture Work -- A Key Driver of Changing Behavior -- Social Operating Mechanisms (SOMs) -- Breaking Barriers and Improving SOMs -- Two Organizational Structures -- Centers of Excellence: Remove the Cultural Divide
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Communities of Practice: Knowledge Sharing across the Organization -- The Power of Straightforward, Clear, Honest Communication -- Environment for Creativity and Innovation -- Environment for Decision-Making -- Leaders Get the Behavior They Exhibit and Tolerate -- The Most Important Thing Leaders Have Control Over -- Hiring and People Placement -- The People Challenge -- Getting the Right People in the Right Jobs -- Organizational Environment and People -- Do This Right Now: A Fulcrum Greater than Culture -- Structure -- Developing an Executable Strategy for AI and Analytics
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Alignment and Support of Market and Operational Strategies -- Adaptable Strategies -- Executable Strategies -- Key Points -- Internal versus External Strategies -- Two Faces of Internal Strategy -- Assessment and Transformation in Strategic Planning -- Barriers to Transformation -- Implementing/Operationalizing Your AI and Analytics Program -- Getting Everyone on the Same Team -- Getting People to Play Their Position -- "How" to Execute -- Knowing the Rules of the Game and Keeping Score -- Holding Players Accountable -- Nuances and Difficulties in the Game -- That's Not My Day Job!
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Special AI and Analytic Activities Become Part of the "Real" Job Over Time -- Chapter 3 The Six Foundations for AI and Analytics Success -- Business Knowledge -- Data Knowledge -- AI and Analytics Knowledge -- Technology Stack: Architecture, Platforms, Systems -- Culture -- People -- Material That Contributed to This Book -- Index
Additional Edition:
Print version: Burk, Scott. Executive's Guide to AI and Analytics. Milton : Productivity Press, ©2022 ISBN 9781032007953
Language:
English
Keywords:
Electronic books.
DOI:
10.4324/9781003175759
URL:
https://www.taylorfrancis.com/books/9781003175759
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