Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world.
Purchase of the print or Kindle book includes a free PDF eBook
AI is undoubtedly a game-changing tool with immense potential to improve human life.
This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape.
We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions.
Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why the economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed.
Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and the knowledge of how best to leverage it and thrive alongside it.
This book is for anyone looking to navigate an AI-driven future and make the most of the emerging technologies that have begun changing every industry without exception. Whether you’re looking to expand your career prospects, find opportunities in your industry, future-proof your organization, or simply need guidance to keep up with the rapid progress, this book will help you gain a better understanding of AI and data for years to come.
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Bill Schmarzo, the Dean of Big Data, is currently the Head of Customer Data Innovation at Dell Technologies. He is also a lecturer at Iowa State University and Coe College (Cedar Rapids, IA), a University of San Francisco School of Management Executive Fellow, and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway, where he teaches his course Big Data MBA and Thinking Like a Data Scientist. He has authored four books, written over 300 blogs for Data Science Central, appeared on podcasts, given numerous keynote presentations and university lectures, and is an active social media lightening rod on the topics of data science, AI, data economics, design thinking, and team empowerment.
"About this title" may belong to another edition of this title.
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