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The Executive's Guide to AI and Analytics - The Foundations of Execution and Success in the New World (Hardcover)
Loot Price: R4,130
Discovery Miles 41 300
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The Executive's Guide to AI and Analytics - The Foundations of Execution and Success in the New World (Hardcover)
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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.
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