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035   $a(DE-He213)978-3-319-97436-1
035   $a(PPN)22991750X
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100   $a20180811d2019      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial Intelligence for Business /$fby Rajendra Akerkar
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (92 pages)
225 1 $aSpringerBriefs in Business,$x2191-5482
311 08$a3-319-97435-1 
327   $aChapter 1: Introduction to Artificial Intelligence -- Chapter 2: Machine Learning -- Chapter 3: Deep Learning -- Chapter 4: Recommendation Engines -- Chapter 5: Natural Language Processing -- Chapter 6: Employing AI in Business.
330   $aThis book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.
410  0$aSpringerBriefs in Business,$x2191-5482
606   $aInformation technology
606   $aBusiness?Data processing
606   $aArtificial intelligence
606   $aManagement
606   $aIndustrial management
606   $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000
615  0$aInformation technology.
615  0$aBusiness?Data processing.
615  0$aArtificial intelligence.
615  0$aManagement.
615  0$aIndustrial management.
615 14$aIT in Business.
615 24$aArtificial Intelligence.
615 24$aInnovation/Technology Management.
676   $a006.3
700   $aAkerkar$b Rajendra$4aut$4http://id.loc.gov/vocabulary/relators/aut$0621740
906   $aBOOK
912   $a9910337803703321
996   $aArtificial Intelligence for Business$92026654
997   $aUNINA