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001 9781351032940
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008 211007s2021 nyua o 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781351032940
_q(electronic bk.)
020 _a1351032941
_q(electronic bk.)
020 _a9781351032919
_q(electronic bk. : Mobipocket)
020 _a1351032917
_q(electronic bk. : Mobipocket)
020 _a9781351032933
_q(electronic bk. : PDF)
020 _a1351032933
_q(electronic bk. : PDF)
020 _a9781351032926
_q(electronic bk. : EPUB)
020 _a1351032925
_q(electronic bk. : EPUB)
020 _z9781138491397
020 _z113849139X
020 _z9781032145204
020 _z103214520X
035 _a(OCoLC)1273731522
035 _a(OCoLC-P)1273731522
050 4 _aTA347.A78
072 7 _aCOM
_x005030
_2bisacsh
072 7 _aBUS
_x071000
_2bisacsh
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 4 _a658.0563
_223
100 1 _aNatarajan, Prashant,
_eauthor.
245 1 0 _aDemystifying AI for the enterprise :
_ba playbook for business value and digital transformation /
_cPrashant Natarajan [and six others].
264 1 _aNew York :
_bProductivity Press,
_c2021.
300 _a1 online resource (1 volume) :
_billustrations (black and white).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aArtificial Intelligence in its various forms - machine learning, chat-bots, robots, agents, etc. - is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. Increasing business process and workflow maturity coupled with recent trends in cloud computing, datafication, IoT, cyber security, and advanced analytics, there is appreciation that the challenges of tomorrow cannot be solely addressed with today's people, processes, and products. A recent Gartner article supports our contention that AI is essential because it "promises to solve problems organizations could not before because it delivers benefits that no humans could legitimately perform." There is still considerable mystery, hype, and fear about AI. A considerable amount t of current discourse focuses on a dystopian future - with adversity impacted individuals/employees/society. Such opinions, with understandable fear of the unknown, don't consider the history of human innovation, current state of business/technology, or the primarily augmentative nature of tomorrow's AI. Our book demystifies AI for the enterprise. Our journey takes the reader from the basics (definitions, state of the art, etc.) to a multi-industry journey, and concludes with validated expert advice on everything an organization and its people must do to succeed. Along the way, we also debunk myths, provide practical pointers, and include best practices with appropriate vignettes. In summary, AI brings to enterprises capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow's enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues and achieve better customer/user satisfaction.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xIndustrial applications.
650 0 _aBusiness enterprises
_xData processing.
650 7 _aBUSINESS & ECONOMICS / Leadership
_2bisacsh
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781351032940
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c6355
_d6355