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010   $a3-319-51550-0
024 7 $a10.1007/978-3-319-51550-2
035   $a(CKB)3710000001019297
035   $a(DE-He213)978-3-319-51550-2
035   $a(MiAaPQ)EBC4786841
035   $a(PPN)198338821
035   $a(EXLCZ)993710000001019297
100   $a20170112d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities /$fby Francesco Corea
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (IX, 45 p. 15 illus. in color.) 
225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704
311   $a3-319-51549-7 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Advancements in the Field -- Business Models -- Investing in AI.
330   $aArtificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the ?Internet of Thinks? era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from today. Although AI can change our lives, it comes also with some responsibilities. We need to start thinking about how to properly design an AI engine for specific purposes, as well as how to control it (and perhaps switch it off if needed). And above all, we need to start trusting our technology, and its ability to reach an effective and smart decision. .
410  0$aSpringerBriefs in Computational Intelligence,$x2625-3704
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aData mining
606   $aBig data
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aData mining.
615  0$aBig data.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aBig Data.
676   $a006.3
700   $aCorea$b Francesco$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761218
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910159362403321
996   $aArtificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities$92262059
997   $aUNINA