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Titlebook: The Executive Guide to Artificial Intelligence; Cutting Through the Andrew Burgess Book 2024Latest edition The Editor(s) (if applicable) a

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書目名稱The Executive Guide to Artificial Intelligence
副標(biāo)題Cutting Through the
編輯Andrew Burgess
視頻videohttp://file.papertrans.cn/910/909432/909432.mp4
概述Provides up-to-date knowledge and experience on practitioner level for business executives.Advises business leaders on how to exploit artificial intelligence to achieve positive results.Thoroughly upd
圖書封面Titlebook: The Executive Guide to Artificial Intelligence; Cutting Through the  Andrew Burgess Book 2024Latest edition The Editor(s) (if applicable) a
描述.This book, now in a thoroughly revised and updated second edition, takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the book‘s core is a framework which describes, in nontechnical language, the nine core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through prediction, to Generative AI, is explained using real–life examples and how they can be applied in a business environment...The advent of Large Language Models has put AI front and centre of Board discussions. AI has the ability to deliver step–change benefits to organisations and enables forward–thinking business leaders to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive who wants to know how to exploit AI in their business today is left confused and frustrated...As an advisor in AI, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the AI an
出版日期Book 2024Latest edition
關(guān)鍵詞artificial intelligence; GPT; AI; generative learning; practical; how to start; pragmatic; case studies; ben
版次2
doihttps://doi.org/10.1007/978-3-031-50722-9
isbn_ebook978-3-031-50722-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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