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Demystifying AI for the Enterprise 1st Edition
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Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets.
With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products.
There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI.
This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes.
AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
- ISBN-10103214520X
- ISBN-13978-1032145204
- Edition1st
- PublisherProductivity Pr
- Publication dateDecember 31, 2021
- LanguageEnglish
- Dimensions7.01 x 0.98 x 10 inches
- Print length418 pages
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Editorial Reviews
About the Author
Prashant Natarajan
Prashant Natarajan is an executive who focuses on the intersection of business outcomes, technology strategy, and digital transformation programs. He is currently the Vice President of Strategy and Customer Advisory at H2O.ai. He is passionate about customer happiness, digital transformation successes and innovation at scale – with AI, advanced analytics, cloud, and data - for global clients in insurance, health sciences, and manufacturing. Previously, Prashant was a Principal at Deloitte Consulting, global leader for data science and analytics at Unum Group, and portfolio director of cloud data platforms and analytics products at Oracle’s Health Sciences GBU. He is a keynote speaker, popular panelist/moderator, and has been interviewed on multiple podcasts and in media.
Prashant is an author/co-author of five books, all of which are practical, industry-focused titles that demystify digital transformation, data, machine learning/AI, and healthcare informatics. He is an invited Co-faculty Instructor at Stanford University, a Distinguished Fellow at the Health Innovation Alliance, and Member of the Advisory Board at Pistoia Alliance AI Center of Excellence. Prashant has also been invited to contribute as an industry thought leader and expert advisor by members of the US Congress, the White House, and leading private sector organizations & governments in the Americas, Asia, Australia, and Europe. He has an undergraduate degree in chemical engineering and a graduate degree in technical communication and linguistics.
Bob Rogers
Bob Rogers, PhD, is Expert in Residence for AI at the University of California San Francisco’s Center for Digital Health Innovation, where he applies his experience solving problems with advanced analytics and Artificial Intelligence to help build world-class medical AI technologies. He is also co-founder of Orchestrated Intelligence which uses novel technology to automate global supply chains. He is a member of the Board of Advisors to the Harvard Institute for Applied Computational Science. Prior to UCSF, Bob was Chief Data Scientist in the Data Center Group at Intel, and was also co-founder and Chief Scientist at Apixio, a healthcare AI company.
Bob began his career as an astrophysicist, developing computer models of physical processes near supermassive black holes. His research expanded to include artificial neural networks. He co-authored the book, Artificial Neural Networks: Forecasting Time Series, which led to a 12-year career as co-founder of a quantitative futures trading fund. In 2006, Bob transitioned into healthcare as a medical device product manager. He received his BA in physics at University of California, Berkeley and his PhD in physics at Harvard.
Edward Dixon
Edward Dixon's interest in AI stems from a hope that, someday, a robot will iron his shirts. Edward is Principle at Rigr AI, a small consultancy focused on AI for sensitive data, with a special interest in the application of AI to Digital Forensics, stemming from his work with Intel's Safer Children program and the Interpol DevOps technical working group.
Jonas Christensen
Jonas Christensen has spent his career leading data science functions across multiple industries. He is an international keynote speaker on data science and analytics leadership, a postgraduate educator and advisor in the field of data science and machine learning and host of the Leaders of Analytics podcast. He holds a Masters of International Finance and a Masters of Accounting from Deakin University as well as a Bachelor of Economics and Business Administration from Copenhagen Business School.
Jonas is passionate about what data science and AI can do for the world of business and beyond. He believes data science and AI will be as revolutionary to the way we do business and interact with each other as IT and personal computing has been over the past 40 years.
Kirk Borne
Dr. Kirk Borne is a data scientist and astrophysicist, providing thought leadership, global speaking, content creation, mentoring, training, and consulting activities in data science, machine learning, and AI across multiple disciplines. He is the Chief Science Officer at DataPrime.ai where he applies his extensive experience and knowledge of the trends in these critical fields to developing data-intensive professions and mentoring data scientists of all experience levels. Previously, he was the Principal Data Scientist, Data Science Fellow, and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton from 2015 to 2021. Before that, he was Professor of Astrophysics and Computational Science at George Mason for 12 years in the graduate and undergraduate data science programs. Prior to that, he spent nearly 20 years supporting data systems activities for NASA space science programs, including a role as NASA's Data Archive Project Scientist for the Hubble Space Telescope and 10 years as contract manager in NASA's Space Science Data Operations Office.
Dr. Borne has degrees in physics (B.S., LSU) and astronomy (Ph.D., Caltech). He is an elected Fellow of the International Astrostatistics Association for his contributions to big data research in astronomy. In 2020, he was elected a Fellow of the American Astronomical Society for lifelong contributions to the field of astronomy. As a global speaker, he has given hundreds of invited talks worldwide, including keynote presentations at dozens of data science, AI and analytics conferences. He is an active contributor on social media, where he promotes data literacy for all and has been named consistently among the top worldwide social influencers in data analytics, data science, machine learning, and AI since 2013.
Leland Wilkinson
Leland Wilkinson is Chief Scientist at H2O and Adjunct Professor of Computer Science at the University of Illinois Chicago. He received an A.B. degree from Harvard in 1966, an S.T.B. degree from Harvard Divinity School in 1969, and a Ph.D. from Yale in 1975. Wilkinson wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. After the company grew to 50 employees, he sold SYSTAT to SPSS in 1994 and worked there for ten years on research and development of visualization systems. Wilkinson subsequently worked at Skytree and Tableau before joining H2O.
Wilkinson is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a Fellow of the American Association for the Advancement of Science. He has won best speaker award at the National Computer Graphics Association and the Youden prize for best expository paper in the statistics journal Technometrics. He has served on the Committee on Applied and Theoretical Statistics of the National Research Council and is a member of the Boards of the National Institute of Statistical Sciences (NISS) and the Institute for Pure and Applied Mathematics (IPAM). In addition to authoring journal articles, the original SYSTAT computer program and manuals, and patents in visualization and distributed analytic computing, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT. He is also the author of The Grammar of Graphics, the foundation for several commercial and opensource visualization systems (IBMRAVE, Tableau, Rggplot2, and PythonBokeh).
Shantha Mohan
Dr. Shantha Mohan is a mentor and project guide at Carnegie Mellon University Integrated Innovation Institute’s iLab. She co-founded Retail Solutions Inc. (RSi), a leader in retail data analytics and ran its global product development organization. Her prior experiences include technical and educational consulting, and running worldwide product development for Consilium, a Manufacturing Execution System (MES) company (acquired by Applied Materials). She graduated with a Ph.D. in Operations Management from the Tepper School of Management, Carnegie Mellon University. Her undergraduate degree is in Electronics & Communication is from the College of Engineering, Guindy (CEG), India, and is honored to be a Distinguished Alumnus.
Shantha is passionate about equality, diversity, and sustainability, and is a member of the Society of Women Engineers (SWE) where she is a volunteer and mentor. She is the author of Roots and Wings: Inspiring Stories of Indian Women in Engineering. She is a Distinguished Toastmaster (DTM) and is active in two clubs. She serves on the board of CEG alumni, North America (CEGAANA), and is instrumental in the creation of the Ask a CEGian student mentorship program and the CEG Betterment program.
Product details
- Publisher : Productivity Pr; 1st edition (December 31, 2021)
- Language : English
- Paperback : 418 pages
- ISBN-10 : 103214520X
- ISBN-13 : 978-1032145204
- Item Weight : 1.66 pounds
- Dimensions : 7.01 x 0.98 x 10 inches
- Best Sellers Rank: #761,093 in Books (See Top 100 in Books)
- #126 in Artificial Intelligence (Books)
- #233 in Business Intelligence Tools
- #302 in Quality Control (Books)
- Customer Reviews:
About the authors

Discover more of the author’s books, see similar authors, read author blogs and more

Discover more of the author’s books, see similar authors, read author blogs and more

Jonas Christensen has spent his career leading data science functions across multiple industries. He is an international keynote speaker on data science and analytics leadership, a postgraduate educator and advisor in the field of data science and machine learning and host of the Leaders of Analytics podcast.
Jonas is passionate about what data science and AI can do for the world of business and beyond. He believes data science and AI will be as revolutionary to the way we do business and interact with each other as IT and personal computing has been over the past 40 years.
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Top reviews from the United States
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This book provides provides accessible landing zones for any team. You will improve outcomes important to the enterprise, its people and it’s various operations from
sales to HR.
If you or your teams are thinking of AI - start here before you brainstorm.
invest in the book, the ROI is huge!
As a C-Suite practitioner, I was pleased to see early comments that AI is a human endeavour. The authors focus on AI as a process that can and should be embedded among the other processes of your business or enterprise or activity. It is not a silver bullet technology that can be parachuted into your business. Like all technologies, it must be understood and harnessed to serve your needs.
The book is well organized, with clear logic. The first two chapters cover general principles and give way to 8 chapters examining AI in a number of functional areas, like retail, visualization, HR and value chain. Chapter 11 looks at the future from an enterprise perspective and provides a realistic assessment that the benefits of AI will not be immediate. Together these chapters demonstrate how managers and executives can engage in the develop and application of AI in their activities.
For a busy CEO, just reading Chapter 1 would be a good starting point to understand the potential of AI as a fundamental capability in the organisation.
This is not a book for a quick peruse, but if you stick with it the returns should be appreciable and place you in a good position to shape, as well as benefit from AI, machine learning and digital transformation. It does successfully serve the role of a playbook that sit on the deck and is regularly consulted. If the authors are able to follow up with the engagement that they promise, then you will be able to scale the learning you have from this read. What really impressed me is how accessible the authors have made the topic.
Artificial intelligence is not “artificial” at all. It is external knowledge we integrate in a symbiotic way to become extensions of what we know. This symbiosis can be a catalyst for strategy, operations, outcomes and decision making. Demystifying AI shows how one well-designed model can be a reusable asset to accelerate growth, build operational efficiency and construct value for a competitive advantage.
We learn building a great model is a dynamic process and changes with circumstance, systems and the needs of humanity. The authors bring us from what we know in machine learning such as the convenience of SIRI to the annoyances of automated department store checkouts and they remind us that with data, governance, empathy and iteration, AI can become a seamless helper on our way through life.
Top reviews from other countries
The case studies highlighted to me what’s possible as soon as we get beyond internal politics and data security issues to delivering data solutions for customers. There are lots of use cases that could be ported across industries if you stretch your imagination.
I’d recommend this book for anyone wanting to get a deeper understanding of how data and AI can be used to create differentiation and operational efficiencies in their business and industry. I can see this book working well for senior leaders in corporate organisations and those who aspire to manage data science teams in these same organisations. This book has given me lots of ideas to take back to my own team and I have ordered a couple of extra copies for our senior leadership team to share.
Reviewed in India 🇮🇳 on April 22, 2022
This book clearly outlines why any enterprise that doesn't start looking at how they can apply AI to the way they go about things today will get left behind. More compellingly, it also methodically outlines practical, tangible steps that any leader or manager (and not just an organisation's designated 'AI expert') could apply to drive and take advantage of the opportunities AI presents. I have already recommended this book to others, and would be entirely unsurprised if it becomes a B-School staple in years to come.



