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006m d
007cr |||||||||||
008180125s2018 cau ob 001 0 eng
010 ▼a 2018003752
020 ▼a 9781440859953 ▼q (electronic bk.)
020 ▼a 1440859957 ▼q (electronic bk.)
020 ▼z 9781440859946 ▼q (alk. paper)
035 ▼a 1736833 ▼b (N$T)
035 ▼a (OCoLC)1021055257
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d OCLCO ▼d OCLCF ▼d OCLCQ ▼d N$T ▼d 248032
042 ▼a pcc
049 ▼a MAIN
05010 ▼a HF5548.2
072 7 ▼a BUS ▼x 041000 ▼2 bisacsh
072 7 ▼a BUS ▼x 055000 ▼2 bisacsh
072 7 ▼a BUS ▼x 059000 ▼2 bisacsh
08200 ▼a 650.0285/63 ▼2 23
1001 ▼a Lauterbach, Anastassia, ▼e author.
24514 ▼a The artificial intelligence imperative : ▼b a practical roadmap for business / ▼c Anastassia Lauterbach and Andrea Bonime-Blanc.
260 ▼a Santa Barbara : ▼b Praeger, ▼c [2018]
263 ▼a 1804
300 ▼a 1 online resource
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b n ▼2 rdamedia
338 ▼a online resource ▼b nc ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
5050 ▼a Introduction -- The past, present and future of AI -- A brief history of AI -- Ai social-science concepts -- Key cognitive and machine learning approaches -- AI technologies : from computer vision to drones -- AI and blockchain, IOT, cybersecurity, and quantum computing -- Enablers and preconditions to achieve AI -- Data -- Algorithms -- Hardware -- Openness -- The race for AI dominance : from full-stack providers to "AI-as-a-service" companies -- AI crossplay : academia and the private sector -- The geopolitics of AI: China vs. USA -- Full-stack companies: the battle of the giants -- Product and domain-focused ML companies -- Traditional and new enterprise companies focused on ML -- Introducing AI into a traditional business -- AI in different sectors : from autos to military robots -- AI and the automotive industry -- AI in healthcare -- AI and the financial sector -- AI in natural resources and utilities -- AI in other business sectors -- AI in government and military -- The socio-politics of AI : critical issues -- Data-control, AI and societies -- The future of employment and the pursuit of life-long learning -- Ethical design and social governance -- The governance of AI : a practical roadmap for business -- Traditional boards? readiness to address AI : transforming fear into value -- Discussing AI in the boardroom -- Notes -- Index.
5880 ▼a Print version record and CIP data provided by publisher; resource not viewed.
590 ▼a Added to collection customer.56279.3 - Master record variable field(s) change: 072
650 0 ▼a Business ▼x Data processing.
650 0 ▼a Artificial intelligence.
650 7 ▼a Artificial intelligence. ▼2 fast ▼0 (OCoLC)fst00817247
650 7 ▼a Business ▼x Data processing. ▼2 fast ▼0 (OCoLC)fst00842293
650 7 ▼a BUSINESS & ECONOMICS / Management ▼2 bisacsh
650 7 ▼a BUSINESS & ECONOMICS / Reference ▼2 bisacsh
650 7 ▼a BUSINESS & ECONOMICS / Skills ▼2 bisacsh
655 4 ▼a Electronic books.
7001 ▼a Bonime-Blanc, Andrea, ▼e author.
77608 ▼i Print version: ▼a Lauterbach, Anastassia. ▼t Artificial intelligence imperative. ▼d Santa Barbara : Praeger, [2018] ▼z 9781440859946 ▼w (DLC) 2017054628
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1736833
938 ▼a EBSCOhost ▼b EBSC ▼n 1736833
990 ▼a 관리자
994 ▼a 92 ▼b N$T