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BPB Publications - A. Upadhyay Malay

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105 pages

English

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Understand how to adopt and implement AI in your organizationKey Featuresa- 7 Principles of an AI Journeya- The TUSCANE Approach to Become Data Readya- The FAB-4 Model to Choose the Right AI Solutiona- Major AI Techniques & their Applications:- CART & Ensemble Learning- Clustering, Association Rules & Search- Reinforcement Learning- Natural Language Processing- Image RecognitionDescriptionMost AI initiatives in organizations fail today not because of a lack of good AI solutions, but because of a lack of understanding of AI among its end users, decision makers and investors. Today, organizations need managers who can leverage AI to solve business problems and provide a competitive advantage. This book is designed to enable you to fill that need, and create an edge for your career.The chapters offer unique managerial frameworks to guide an organization's AI journey. The first section looks at what AI is; and how you can prepare for it, decide when to use it, and avoid pitfalls on the way. The second section dives into the different AI techniques and shows you where to apply them in business. The final section then prepares you from a strategic AI leadership perspective to lead the future of organizations.By the end of the book, you will be ready to offer any organization the capability to use AI successfully and responsibly - a need that is fast becoming a necessity.What will you learna- Understand the major AI techniques & how they are used in business.a- Determine which AI technique(s) can solve your business problem.a- Decide whether to build or buy an AI solution.a- Estimate the financial value of an AI solution or company.a- Frame a robust policy to guide the responsible use of AI.Who this book is forThis book is for Executives, Managers and Students on both Business and Technical teams who would like to use Artificial Intelligence effectively to solve business problems or get an edge in their careers.Table of Contents1.Preface2.Acknowledgement3.About the Author4.Section 1: Beginning an AI Journeya. AI Fundamentalsb. 7 Principles of an AI Journeyc. Getting Ready to Use AI5.Section 2: Choosing the Right AI Techniquesa. Inside the AI Laboratoryb. How AI Predicts Values & Categoriesc. How AI Understands and Predicts Behaviors & Scenariosd. How AI Communicates & Learns from Mistakese. How AI Starts to Think Like Humans6.Section 3: Using AI Successfully & Responsiblya. AI Adoption & Valuationb. AI Strategy, Policy & Risk Management7.EpilogueAbout the AuthorsMalay A. Upadhyay is a Customer Journey executive, certified in Machine Learning. Over the course of his role heading the function at a N. American AI SaaS firm in Toronto, Malay trained 150+ N. American managers on the basics of AI and its successful adoption, held executive thought leadership sessions for CEOs and CHROs on AI strategy & IT modernization roadmaps, and worked as the primary liaison to realize AI value on unique customer datasets. It was here that he learnt the growing need for greater knowledge and awareness of how to use AI both responsibly and successfully.Malay was also one of 25 individuals chosen globally to envision the industrial future for the Marzotto Group, Italy, on its 175th anniversary. He holds an MBA, M.Sc. and B.E., with experiences across India, UAE, Italy and Canada.A Duke of Edinburgh awardee, Malay has been driving the subject of responsible AI management as an advisor, author, online instructor and member of the European AI Alliance that informed the HLEG on the European Commission's AI policy.

Sujets

Service innovation

Artificial intelligence

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Publié par	BPB Publications
Date de parution	18 septembre 2020
Nombre de lectures	4
EAN13	9789389898392
Langue	English

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Extrait

Artificial Intelligence for Managers

Leverage the Power of AI to Transform Organizations and Reshape Your Career

Malay A. Upadhyay
www.bpbonline.com
FIRST EDITION 2021
Copyright © BPB Publications, India
ISBN: 978-93-89898-385
All Rights Reserved. No part of this publication may be reproduced or distributed in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication.
LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
The information contained in this book is true to correct and the best of author’s & publisher’s knowledge. The author has made every effort to ensure the accuracy of these publications, but cannot be held responsible for any loss or damage arising from any information in this book.
All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.
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Dedicated to
Those who would prefer to prepare for the future, than wait for it to happen
About the Author
Malay A. Upadhyay is a Customer Journey executive, certified in Machine Learning. Over the course of his role heading the function at a N. American AI SaaS firm in Toronto, Malay trained 150+ N. American managers on the basics of AI and its successful adoption, held executive thought leadership sessions for CEOs and CHROs on AI strategy & IT modernization roadmaps, and worked as the primary liaison to realize AI value on unique customer datasets. It was here that he learnt the growing need for greater knowledge and awareness of how to use AI both responsibly and successfully.
Malay was also one of 25 individuals chosen globally to envision the industrial future for the Marzotto Group, Italy, on its 175th anniversary. He holds an MBA, M.Sc. and B.E., with experiences across India, UAE, Italy and Canada.
A Duke of Edinburgh awardee, Malay has been driving the subject of responsible AI management as an advisor, author, online instructor and member of the European AI Alliance that informed the HLEG on the European Commission’s AI policy. At other times, he remains a Fly that loves to travel and blog with Mrs. Fly.
About the Reviewer
Henry Bol AI expert with domain knowledge in E-commerce and Online Marketing.
I feel very fortunate to have been active in Internet Business since the early days (1997): pioneering, learning by doing. In 2007, I started as an independent ecommerce expert: both as an ad interim professional to improve online marketing & sales or as a project manager for supervising internet projects. I am grateful of having had the opportunity to work at quite a few different and renowned companies.
Another important step is in 2017 (these seem to be every 10 years): seeing the big impact and magic of Artificial Intelligence, I started intensively studying AI. I covered the full range: from modelling to business models, from coding to ethics.
AI is bringing new dimensions to business and technology. Bridging those worlds is the challenge.
Contact details: - henry@weareflow.com - https://www.linkedin.com/in/henrybol/
What Some Students Have To Say
“I took up this course just because of my personal interest but now I feel that it has helped me explore new options and opportunities. I feel that it is a really good, helpful and interesting course for people who are curious to increase their knowledge of AI.”
“This is a very useful AI course. Unlike several AI courses out there that are tech-heavy or more about coding, this course helps managers and leaders understand AI in an easier way. By the end of this course, I felt more confident about my knowledge of AI, how to understand or use it and how to successfully implement it in my company.”
“Very informative and example based learning. The quizzes and examples help you retain useful information.”
“An awesome course explaining complex concepts of AI in simple terms. Really helpful for any management students who want to get a good understanding of AI in the business world.”
Acknowledgement
First and foremost, I would like to thank my parents, who had allowed a younger me to temporarily put aside my career as a trained engineer and marketer to pursue one as an author. This book, like others that came before it, is a result of that authorial first step that few parents would risk. I can’t thank you enough.
A ‘Thank You’ must also go out to my wife, Pooja, for supporting every project I undertake, especially since they invariably demand the time that would otherwise be reserved for her.
I would also like to thank the team at BPB Publications, my publisher, for driving this book with inspiring process detail and receptivity, from an obscure Word document to your hands. And Henry Bol, whose feedback has lent this cake, its icing. It’s been a pleasure.
Developing a thorough understanding in a field as little understood as AI requires a climate that can nurture knowledge-sharing and experience-gaining. For that, credit goes to my colleagues, our clients, and my instructors who have revealed the different facets and sensitivities of AI journeys along the way.
And of course, no task is ever accomplished without His/Her grace, whether we consider it bestowed upon us by an omnipresent entity or an elevated fragment of ourselves.
Thank you, Sai Baba.
Preface
Welcome to this journey on how to use and manage Artificial Intelligence.
Let’s start with a story. Back in the 90s, I remember the day my family brought our first personal computer home. Everyone in the family looked at it with amazement. There weren’t many users back then. People had only heard about it and were casually intrigued by it. But none of us knew that in a few years, each one of us would start using these computers and that it would become a core skill to know to avoid being left behind. Today this skill comes to us naturally.
Why am I sharing this with you? Because unlike computers back then, AI today is already a part of our everyday life, whether we realize it or not. It has become advanced enough to allow the creation of an entirely new organism (from frog stem cells) called Xenobots – tiny living machines that can move independently and even self-heal! And yet, organizations are struggling to find managers who can understand and get results out of even simple AI solutions at work. What does that tell us about the prevalent skill gap in AI management? And how important a role can AI plays in your life and career over the years?
There is a good reason for this growing importance of AI. As you will see through this course, artificial intelligence is solving problems that we just cannot solve without it: Problems that arise because of our reduced ability to focus, our need to analyze a lot of information quickly and cheaply, the rising costs and even a lack of time in our busy lives. Whether we think AI is dangerous or a gift, we have to understand it properly first. And that brings us to the problem at hand.
While we are trying to train more data scientists and engineers to create good AI solutions, there is a growing lack of users, managers, and leaders who know how to apply AI in their work or to business/organizational problems in the right manner. Most AI initiatives fail today not because of lack of good solutions but because of one or more of the following issues on the management side: Lack of understanding of what AI is and why/when it can be powerful Unrealistic expectations of what AI can do Absence of a proper business strategy in place around AI Wrong choice of the type of AI technique for a business problem Uninformed choice of a weak/superficial AI solution Lack of readiness in terms of data Lack of employee and/or leadership support
The growth and success of AI depend on the support and investment it receives from informed current and future organizational leaders and managers. After all, they are the sponsors, decision-makers, and end-users of AI.
To ensure its responsible and successful use and adoption, it is of utmost importance that we understand AI just as well as we understand and use applications like Microsoft Office today. This book is aimed to fill this growing skill gap in organizations. In doing so, it can provide an added competitive advantage for both short and long-term growth by teaching skills that recruiters are struggling to find in their existing workforce.
So, kudos to you for having taken on this challenge of grasping AI on a practical level. It’s a technical subject, but the challenge is not as big as it may seem. Just the way you do not need to learn coding to work on a computer, you also don’t have to learn to code to understand and use AI. With that in mind, this book has been structured to follow a typical AI journey you will likely face or lead.
We will start with an overview of what AI is and how you can become AI-ready. We will then visit the AI laboratory to observe the data scientists in action and understand how AI does all the different things it does. That will prepare us for the final step in our journey where, having learned which AI solution to choose for a problem and how to prepare for it, we will learn how to deploy it and get it accepted by others. We