Review
"Chock-full of illuminating examples that will dramatically improve your success with AI projects." --Zarak Mahmud, Techflo
"I think it is a much needed and apt text for the intendedaudience. I have had Managers ask me a lot of the questions that wereexplained and clarified in the text. I would love to have my C-teamsread this text before venturing into the Data Science space." --Madhavan Ramani, Bueno Pty Ltd
"An awesome book for people in technical as well as non-technical domains who plan to leverage the potential of AI in scaling their business growth. Every stage of an AI project has been aptly covered in the book." --Ayon Roy, Lulu International Exchange
"The overall concept of the book and its approach are both awesome. I believe a book like this is radical and highlights the common mistakes made during the AI project development. I like the tricks provided by the author concerning the evaluation of an AI project." --Nikos Kanakaris, Mission-X, University of Patras
"The author offers a voice and approach that is lacking in the field of AI, where everyone is throwing money at problems without truly understanding if they are achievable. By applying these principles, you will maximize the wins over losses in your companies AI efforts." --Jason Rendel, PKWARE Inc
"This is a must-read book for a data scientist/developer that wants to evolve in his career and become a business leader of AI projects. This is also a must-read book for a business leader that wants to improve and extend his skillset as well as his techniques and methods for managing AI projects." --Nikos Kanakaris, Mission-X, University of Patras
"This is an enlightening, useful and rare book. It helps you to avoid common pitfalls on AI projects in industry. It connects the concepts with practical examples (and also existing cases in industry). It guides you to define the things you need in order to manage an AI project properly or abandon it before wasting a lot of time." --Teresa Fontanella De Santis, Accenture (Reflections belongs to the individual only, not the company's opinion)
"Whether you're in a small startup or larger organization, if you're leading an AI project, you need to know about the ideas presented in this book. You will learn a principled approach to making decisions at each step in the project management process. This helps avoid the over-reliance on vague hunches and ad hoc decision making. No longer will you spend months of effort before realizing that your project was never viable, to begin with!" --Zarak Mahmud, Techflo
"If you are starting a new AI project, put all odds on your side by reading this book." --David Paccoud, Bioclinica
"A definitive resource for building an AI system idea . . . and deploying it in production." --Teresa Fontanella De Santis, Accenture (Reflections belongs to the individual only, not the company's opinion)
"There is a huge vacuum in the Industry with Managers and BusinessLeaders trying to apply Data Science without structured thinking orprocess in terms of identifying problems that require a an ML/AIsolution to add value to the business, or an understanding of the DataScience process. Krunic has produced a much needed book for the benefitof Business Leaders, Managers and Decision Makers. I would definitely be making all my C-team colleagues read this text before venturing intoML/AI projects so as to have realistic expectations and practicalexpectations." --Madhavan Ramani, Bueno Pty Ltd
"This is a great approach to doing AI better than what we see today in the field. Almost all of AI starts with gut feel and a lack of real business value understanding. It seems to be focused more on saying we are "doing AI" or we are an "AI" company. This ensures we aren't just spending money for optics, but making an actual positive impact on the business." --Jason Rendel, PKWARE Inc
"This is a must-read book for a data scientist/developer that wants to evolve in his career and become a business leader of AI projects. This is also a must-read book for a business leader that wants to improve and extend his skillset as well as his techniques and methods for managing AI projects." --Nikos Kanakaris, Mission-X, University of Patras
"Follow this book's advice, and you will find your organization 'Succeeding with AI'!" --James J. Byleckie, BH Enterprises --This text refers to the paperback edition.
About the Author
Veljko Krunic is an independent consultant and trainerspecializing in data science, big data, and helping his clients getactionable business results from AI.
He holds a PhD in computerscience from the University of Colorado at Boulder and an additional MSin engineering management from the same institution. His MS degree inengineering management focused on applied statistics, strategicplanning, and the use of advanced statistical methods to improveorganizational efficiency. He is also a Six Sigma Master Black Belt.
Veljko has consulted with or taught courses for five of the Fortune 10companies (as listed in Sept 2019), many of the Fortune 500 companies,and a number of smaller companies, in the areas of enterprise computing, data science, AI, and big data. Before consulting independently, heworked in the PSO organizations of Hortonworks, the SpringSourcedivision of VMware, and the JBoss division of Red Hat. In thosepositions, he was the main technical consultant on highly visibleprojects for the top clients of those PSO organizations. --This text refers to the paperback edition.
From the Author
Thank you for your interest in Succeeding with AI.
AI is in a lot of the news these days. For all of the great possibilities that AI is bringing to the table, not all of the AI projects running right now are doing well, and non-trivial percentage of the AI projects that are in progress would not deliver business results you are hoping for. Reason is that technical knowledge about AI algorithms isn't enough to get business results using AI.
If industry is to benefit from AI, data science, and ML, then we need to explore the best practices of applying them to business problems. I have written this book to help you manage an AI project so that it would succeed.
Readers of this book are project leaders of AI projects who are focused on delivering business results and who view technology as a vehicle to deliver those results. Such a reader needs the following qualification:
- You have been part of the leadership team of a successful software project.
- You understand the basics of the business your organization is in, on the level commensurate with the position you are occupying in the hierarchy of your organization.
- Whatever software development methodology you're using, you must understand how your organization manages software development.
- You have experience with using business metrics to score the success of a business initiative.
- If you have business background, you must be willing to learn basic engineering concept.
My focus in covering any AI methods isn't on the technology, but on how to use technology to achieve business results. If your interest in business is limited, and your main interest is in AI methods and algorithms, this is not a book for you.
Thank you once again for your interest!
--Veljko Krunic --This text refers to the paperback
edition. 
