style="font-size:15px;"> John Aviles, Federal CTO Technical Lead, IBM
I hold over 150 patents and work as a data scientist on creating some of the most complex AI business projects, and this book has been of immense value to me as a field guide. The authors have established the need as to why IA must be part of a systematic maturing approach to AI. I regard this book as a “next generation AI guidebook” that your organization can't afford to be without.
Gandhi Sivakumar, Chief Architect and Master Inventor, IBM (Australia)
A seminal treatment for how enterprises must leverage AI. The authors provide a clear and understandable path forward for using AI across cloud, fog, and mist computing. A must read for any serious data scientist and data manager.
Raul Shneir, Director, Israel National Cyber Directorate (Israel)
As a professor at Wharton who teaches data science I often mention to my students about emerging new analytical tools such as AI that can provide valuable information to business decision makers. I also encourage them to keep abreast of such tools. Smarter Data Science will definitely make my recommended readings list. It articulates clearly how an organization can build a successful Information architecture, capitalizing on AI technologies benefits. The authors have captured many intricate themes that are relevant for my students to carry with them into the business world. Many of the ideas presented in this book will benefit those working directly in the field of data science or those that will be impacted by data science. The book also includes many critical thinking tools to ready the worker of tomorrow … and realistically, today.
Dr. Josh Eliashberg, Sebastian S. Kresge Professor of Marketing, Professor of Operations, Information, and Decisions, The Wharton School
This is an excellent guide for the data-driven organization that must build a robust information architecture to continuously deliver greater value through data science or be relegated to the past. The book will enable organizations to complete their transformative journey to sustainably leverage AI technologies that incorporate cloud-based AI tools and dueling neural networks. The guiding principles that are laid out in the book should result in the democratization of data, a data literate workforce, and a transparent AI revolution.
Taarini Gupta, Behavioral Scientist/Data Scientist, Mind Genomics Advisors
Smarter Data Science
Succeeding with Enterprise-Grade Data and AI Projects
Neal Fishman with Cole Stryker
Copyright © 2020 by John Wiley & Sons, Inc., Indianapolis, Indiana
Published simultaneously in Canada
ISBN: 978-1-119-69341-3
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ISBN: 978-1-119-69342-0 (ebk)
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About the Authors
Neal Fishman is an IBM Distinguished Engineer and is the CTO for Data-Based Pathology within IBM's Global Business Services organization. Neal is also an Open Group Certified Distinguished IT Architect. Neal has extensive experience working with IBM's clients across six continents on complex data and AI initiatives.
Neal has previously served as a board member for several different industry communities and was the technology editor for the BRCommunity webzine. Neal has been a distance learning instructor with the University of Washington and has recorded some of his other insights in Viral Data in SOA: An Enterprise Pandemic and Enterprise Architecture Using the Zachman Framework. Neal also holds several data-related patents.
You can connect with Neal on LinkedIn at linkedin.com/in/neal-fishman-.
Cole Stryker is an author and journalist based in Los Angeles. He is the author of Epic Win for Anonymous, the story of a global gang of hackers and trolls who took on big corporations and governments, and Hacking the Future, which charts the history of anonymity and makes a case for its future as a form of cultural and political expression. His writing has appeared in Newsweek,
