000 | 04388cam a2200529Ii 4500 | ||
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001 | 9781003122081 | ||
003 | FlBoTFG | ||
005 | 20220509193136.0 | ||
006 | m d | ||
007 | cr ||||||||||| | ||
008 | 200830s2020 flu go 000 0 eng d | ||
040 |
_aOCoLC-P _beng _cOCoLC-P |
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020 |
_a1000281957 _q(EPUB) |
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020 |
_a9781003122081 _q(electronic bk.) |
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020 |
_a1003122086 _q(electronic bk.) |
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020 |
_a9781000281941 _q(electronic bk. : Mobipocket) |
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020 |
_a1000281949 _q(electronic bk. : Mobipocket) |
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020 |
_a9781000281934 _q(electronic bk. : PDF) |
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020 |
_a1000281930 _q(electronic bk. : PDF) |
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020 |
_a9781000281958 _q(electronic bk.) |
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024 | 7 |
_a10.1201/9781003122081. _2doi |
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035 | _a(OCoLC)1203551178 | ||
035 | _a(OCoLC-P)1203551178 | ||
050 | 4 | _aHD38.7 | |
072 | 7 |
_aCOM _x004000 _2bisacsh |
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072 | 7 |
_aCOM _x021030 _2bisacsh |
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072 | 7 |
_aBUS _x083000 _2bisacsh |
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072 | 7 |
_aUYQ _2bicssc |
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082 | 0 | 4 |
_a658.472028563 _223 |
100 | 1 |
_aLakshman, Bulusu, _eauthor. |
|
245 | 1 | 0 |
_aAI Meets BI : _bArtificial Intelligence and Business Intelligence / _cLakshman Bulusu, Rosendo Abellera. |
264 | 1 |
_aBoca Raton : _bAuerbach Publications, _c2020. |
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300 | _a1 online resource (220 pages) | ||
336 |
_atext _2rdacontent |
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337 |
_acomputer _2rdamedia |
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338 |
_aonline resource _2rdacarrier |
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505 | 0 | _aChapter 1 Introduction; Chapter 2 AI and AI-Powered Analytics; Chapter 3 Industry Uses Cases of Enterprise BI--A Business Perspective; Chapter 4 Industry Use Cases of Enterprise BI--The AI-Way of Implementation; Chapter 5 What's Next in AI Meets BI? | |
520 | _aWith the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI. | ||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aBusiness intelligence _xData processing. |
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650 | 0 | _aArtificial intelligence. | |
650 | 7 |
_aCOMPUTERS / Artificial Intelligence _2bisacsh |
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650 | 7 |
_aCOMPUTERS / Database Management / Data Mining _2bisacsh |
|
650 | 7 |
_aBUSINESS & ECONOMICS / Information Management _2bisacsh |
|
700 | 1 |
_aAbellera, Rosendo, _eauthor. |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003122081 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c130771 _d130771 |