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Succeeding with AI: How to make AI work for your business
Summary
Many AI projects are in progress today, and many of them will fail. This book helps you avoid starting an AI project that's doomed to failure and shows you how to lead the right AI project toward the business results.
Conventional wisdom tells us that the determinant of success or failure of an AI project is the project team's in-depth knowledge of AI technology. It is not. Overfocus on technology, paired with a vague understanding of the actions leaders must take for their AI projects to succeed, causes unrealistic expectations and poor business results. Believing that success with AI is determined solely by technical prowess confounds an enabler with a capability. Although you do need to have technical skills on your team for your AI project to succeed technically, to implement AI in your business, you also need to link technology with business goals. Only humans can do that, and this book shows you how.
Succeeding with AI helps you make your AI projects predictable, successful, and profitable. It's filled with practical techniques for running AI projects that ensure they're cost-effective and focused on the right business goals.
About the technology
Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren't You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you'll get the results you want.
About the book
Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author's experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you'll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification.
What's inside
You will
About the reader
For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required.
Many AI projects are in progress today, and many of them will fail. This book helps you avoid starting an AI project that's doomed to failure and shows you how to lead the right AI project toward the business results.
Conventional wisdom tells us that the determinant of success or failure of an AI project is the project team's in-depth knowledge of AI technology. It is not. Overfocus on technology, paired with a vague understanding of the actions leaders must take for their AI projects to succeed, causes unrealistic expectations and poor business results. Believing that success with AI is determined solely by technical prowess confounds an enabler with a capability. Although you do need to have technical skills on your team for your AI project to succeed technically, to implement AI in your business, you also need to link technology with business goals. Only humans can do that, and this book shows you how.
Succeeding with AI helps you make your AI projects predictable, successful, and profitable. It's filled with practical techniques for running AI projects that ensure they're cost-effective and focused on the right business goals.
About the technology
Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren't You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you'll get the results you want.
About the book
Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author's experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you'll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification.
What's inside
You will
About the reader
For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required.
288 pages, Paperback
Published March 31, 2020
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39 people want to read
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