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OverviewFull Product DetailsAuthor: Dinesh C. VermaPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.453kg ISBN: 9781032049359ISBN 10: 1032049359 Pages: 206 Publication Date: 29 January 2024 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviews"""Verma (IBM Watson Research Center) aims to explain federated AI from the perspective of the business analyst who is neither programmer nor statistician, yet faces real-world system requirements in planning an AI implementation. Verma defines the federated AI method as a way of determining business processes through AI models derived by software-driven analyses of pertinent data, where the analyzed data is siloed across disparate systems. He recommends a LEARN > INFER > ACT cycle to the practitioner and distinguishes between federated learning and federated inference, as the actual federation step may occur during either the LEARN or INFER modules of the cycle. Verma is thorough in describing the problem-solving issues which may arise when planning a federated AI implementation."" — M. Mounts, Dartmouth College, Choice, November 2022" Author InformationDinesh C. Verma is an IBM Fellow, a UK Fellow of the Royal Academy of Engineering and an IEEE Fellow. He leads the Distributed AI area at IBM Watson Research Center. He has authored ten books, 150+ technical papers and been granted 185+ U.S. patents. He has led an international consortium of scientists for fifteen years, and supervised many business solutions using AI. More details about Dinesh are available at ibm.biz/dineshverma Tab Content 6Author Website:Countries AvailableAll regions |
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