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001453495 001__ 1453495
001453495 003__ OCoLC
001453495 005__ 20230314003429.0
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001453495 008__ 221207s2023\\\\sz\a\\\\ob\\\\001\0\eng\d
001453495 019__ $$a1352234441$$a1352967984
001453495 020__ $$a9783031190391$$q(electronic bk.)
001453495 020__ $$a3031190394$$q(electronic bk.)
001453495 020__ $$z9783031190384
001453495 020__ $$z3031190386
001453495 0247_ $$a10.1007/978-3-031-19039-1$$2doi
001453495 035__ $$aSP(OCoLC)1353597980
001453495 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCF$$dOCLCQ
001453495 049__ $$aISEA
001453495 050_4 $$aTA347.A78
001453495 08204 $$a620.00285/63$$223/eng/20221207
001453495 1001_ $$aKejriwal, Mayank,$$eauthor.$$1https://isni.org/isni/0000000501356188
001453495 24510 $$aArtificial intelligence for industries of the future :$$bbeyond Facebook, Amazon, Microsoft and Google /$$cMayank Kejriwal.
001453495 264_1 $$aCham :$$bSpringer,$$c[2023]
001453495 264_4 $$c©2023
001453495 300__ $$a1 online resource (xix, 152 pages) :$$billustrations.
001453495 336__ $$atext$$btxt$$2rdacontent
001453495 337__ $$acomputer$$bc$$2rdamedia
001453495 338__ $$aonline resource$$bcr$$2rdacarrier
001453495 4901_ $$aFuture of business and finance
001453495 504__ $$aIncludes bibliographical references and index.
001453495 5050_ $$aChapter 1. Artificial Intelligence: An Introduction -- Chapter 2. AI in Practice and Implementation: Issues and Costs . -- Chapter 3. AI in Industry Today -- Chapter 4. Augmented Artificial Intelligence -- Chapter 5. AI Ethics and Policy -- Chapter 6. What is on the horizon?.-.
001453495 506__ $$aAccess limited to authorized users.
001453495 520__ $$aThis book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AIs forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path.
001453495 588__ $$aDescription based on print version record.
001453495 650_0 $$aArtificial intelligence$$xIndustrial applications.
001453495 650_0 $$aIndustries$$xTechnological innovations.
001453495 655_0 $$aElectronic books.
001453495 77608 $$iPrint version:$$aKejriwal, Mayank.$$tArtificial intelligence for industries of the future.$$dCham : Springer, 2022$$z9783031190384$$w(OCoLC)1348391675
001453495 830_0 $$aFuture of business and finance.
001453495 852__ $$bebk
001453495 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19039-1$$zOnline Access$$91397441.1
001453495 909CO $$ooai:library.usi.edu:1453495$$pGLOBAL_SET
001453495 980__ $$aBIB
001453495 980__ $$aEBOOK
001453495 982__ $$aEbook
001453495 983__ $$aOnline
001453495 994__ $$a92$$bISE