Understanding Generative AI Business Applications A Guide to Technical Principles and Real-World Applications (Irena Cronin) (Z-Library)

Understanding Generative AI Business Applications A Guide to Technical Principles and Real-World Applications — Irena Cronin

Understanding Generative AI Business Applications A Guide to Technical Principles and Real-World Applications Irena Cronin

Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications ISBN-13 (pbk): 979-8-8688-0281-2 ISBN-13 (electronic): 979-8-8688-0282-9 https://doi.org/10.1007/979-8-8688-0282-9 Copyright © 2024 by Irena Cronin This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Managing Director, Apress Media LLC: Welmoed Spahr Acquisitions Editor: Celestin Suresh John Development Editor: Laura Berendson Coordinating Editor: Gryffin Winkler Cover designed by eStudioCalamar Cover image by Pete Linforth from Pixabay (www.pixabay.com) Distributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004, U.S.A. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation. For information on translations, please e-mail booktranslations@springernature.com; for reprint, paperback, or audio rights, please e-mail bookpermissions@springernature.com. Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales web page at http://www.apress.com/bulk-sales. Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub (https://github.com/Apress). For more detailed information, please visit https://www.apress.com/gp/services/source-code. If disposing of this product, please recycle the paper Irena Cronin Savannah, GA, USA

This is in memory of my husband Danny and his incurable love of tech.

xix About the Author Irena Cronin is SVP of Product for DADOS Technology which is making an app for the Apple Vision Pro that does data analytics and visualization. She is also the CEO of Infinite Retina which provides research to help companies develop and implement AI, AR, and other new technologies for their businesses. Previous to this, she worked for several years as an equity research analyst and gained extensive experience in evaluating both public and private companies. Cronin has a joint MBA/MA from the University of Southern California and an MS with distinction in Management and Systems from New York University. She graduated with a BA from the University of Pennsylvania with a major in Economics (summa cum laude).

xxi About the Technical Reviewer Krishnendu Dasgupta is currently the Head of Machine Learning at Mondosano GmbH, leading data science initiatives focused on clinical trial recommendations and advanced patient health profiling through disease and drug data. Prior to this role, he co-founded DOCONVID AI, a startup that leveraged applied AI and medical imaging to detect lung abnormalities and neurological disorders. With a strong background in computer science engineering, Krishnendu has more than a decade of experience in developing solutions and platforms using applied machine learning. His professional trajectory includes key positions at prestigious organizations such as NTT DATA, PwC, and Thoucentric. Krishnendu’s primary research interests include applied AI for graph machine learning, medical imaging, and decentralized privacy-preserving machine learning in healthcare. He also had the opportunity to participate in the esteemed Entrepreneurship and Innovation Bootcamp at the Massachusetts Institute of Technology, cohort of the 2018 batch. Beyond his professional endeavors, Krishnendu actively dedicates his time to research, collaborating with various research NGOs and universities worldwide. His focus is on applied AI and ML.

xxiii Acknowledgments I want to thank Celestin Suresh John and the staff at Apress for the preparation of this book. I also wish to thank Carol Cox, my best friend, for helping me to focus on writing, as well as the thousands of developers currently building the next AI technologies. This book would not be here without them.