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Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career

De (autor): Alex Antic

Coperta cărții 'Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science'
Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career

De (autor): Alex Antic

Get your hands on the secret recipe for a rewarding career in data science from 18 AI leaders Purchase of the print or Kindle book includes a free PDF eBook
Key Features: Gain access to insights and expertise from data science leaders shared in one-on-one interviews Get pragmatic advice on how to become a successful data scientist and data science leader Receive guidance to overcome common pitfalls and challenges and ensure your projects' success
Book Description: A Gartner prediction in 2018 led to numerous articles stating that "85% of AI and machine learning projects fail to deliver." Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic? The demand for data scientists has only grown since 2015, when they were dubbed the new "rock stars" of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs. Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Veličkovic, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.
What You Will Learn: Find out where to start with AI ethics and how to evolve from frameworks to practice Discover tips on building and managing a data science team Receive advice for organizations seeking to build or mature a data science capability Stop beating your head against a brick wall - pick the environment that'll support your success Read stories from successful data leaders as they reflect on the successes and failures in data strategy development Understand how business areas can best work with data science teams to drive business value
Who this book is for: This book is for a wide range of audience, from people working in the data science industry through to data science leaders and chief data officers. This book will also cater to senior business leaders interested in learning how data and
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Get your hands on the secret recipe for a rewarding career in data science from 18 AI leaders Purchase of the print or Kindle book includes a free PDF eBook
Key Features: Gain access to insights and expertise from data science leaders shared in one-on-one interviews Get pragmatic advice on how to become a successful data scientist and data science leader Receive guidance to overcome common pitfalls and challenges and ensure your projects' success
Book Description: A Gartner prediction in 2018 led to numerous articles stating that "85% of AI and machine learning projects fail to deliver." Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic? The demand for data scientists has only grown since 2015, when they were dubbed the new "rock stars" of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs. Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Veličkovic, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.
What You Will Learn: Find out where to start with AI ethics and how to evolve from frameworks to practice Discover tips on building and managing a data science team Receive advice for organizations seeking to build or mature a data science capability Stop beating your head against a brick wall - pick the environment that'll support your success Read stories from successful data leaders as they reflect on the successes and failures in data strategy development Understand how business areas can best work with data science teams to drive business value
Who this book is for: This book is for a wide range of audience, from people working in the data science industry through to data science leaders and chief data officers. This book will also cater to senior business leaders interested in learning how data and
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