001461156 000__ 04883cam\a22006017i\4500
001461156 001__ 1461156
001461156 003__ OCoLC
001461156 005__ 20230502014307.0
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001461156 008__ 230312s2023\\\\gw\\\\\\ob\\\\000\0\eng\d
001461156 019__ $$a1371754201
001461156 020__ $$a9783658375997$$qelectronic book
001461156 020__ $$a365837599X$$qelectronic book
001461156 020__ $$z3658375981
001461156 020__ $$z9783658375980
001461156 0247_ $$a10.1007/978-3-658-37599-7$$2doi
001461156 035__ $$aSP(OCoLC)1371569264
001461156 040__ $$aYDX$$beng$$erda$$cYDX$$dGW5XE$$dEBLCP$$dYDX$$dOCLCF
001461156 049__ $$aISEA
001461156 050_4 $$aHD30.2$$b.W43 2023
001461156 08204 $$a658.4/038028563$$223/eng/20230314
001461156 1001_ $$aWeber, Felix,$$eauthor.
001461156 24510 $$aArtificial intelligence for business analytics :$$balgorithms, platforms and application scenarios /$$cFelix Weber.
001461156 264_1 $$aWiesbaden, Germany :$$bSpringer,$$c[2023]
001461156 300__ $$a1 online resource
001461156 336__ $$atext$$btxt$$2rdacontent
001461156 337__ $$acomputer$$bc$$2rdamedia
001461156 338__ $$aonline resource$$bcr$$2rdacarrier
001461156 504__ $$aIncludes bibliographical references.
001461156 5050_ $$aBusiness Analytics -- Artificial Intelligence -- AI and BA platforms -- Technology framework and process model as reference -- Case studies on the use of AI-based business analytics.
001461156 506__ $$aAccess limited to authorized users.
001461156 520__ $$aWhile methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies. Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods. This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form based on the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. The Content Business Analytics Artificial Intelligence AI and BA platforms Technology framework and procedure model as reference Case studies on the use of AI-based business analytics The Author Felix Weber is a researcher at the University of Duisburg-Essen with a focus on digitalization, artificial intelligence, price, promotion, assortment management, and transformation management. At the Chair of Business Informatics and Integrated Information Systems, he founded the Retail Artificial Intelligence Lab (retAIL). At the same time, he also worked on various jobs as a consultant for SAP systems in retail, Head of Data Science and as Head of ERP. He thus combines current practice with scientific research in this subfield. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
001461156 588__ $$aDescription based on online resource; title from digital title page (viewed on April 13, 2023).
001461156 650_0 $$aKnowledge management$$xData processing.
001461156 650_0 $$aBusiness$$xData processing.
001461156 650_0 $$aArtificial intelligence.
001461156 655_0 $$aElectronic books.
001461156 77608 $$iPrint version: $$z3658375981$$z9783658375980$$w(OCoLC)1309863670
001461156 852__ $$bebk
001461156 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-37599-7$$zOnline Access$$91397441.1
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001461156 980__ $$aBIB
001461156 980__ $$aEBOOK
001461156 982__ $$aEbook
001461156 983__ $$aOnline
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