LEADER 04527nam 22006975 450 001 9910767506903321 005 20251009094107.0 010 $a981-9945-58-5 024 7 $a10.1007/978-981-99-4558-0 035 $a(MiAaPQ)EBC30974039 035 $a(Au-PeEL)EBL30974039 035 $a(OCoLC)1414467888 035 $a(CKB)29084006000041 035 $a(DE-He213)978-981-99-4558-0 035 $a(EXLCZ)9929084006000041 100 $a20231126d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Business Management /$fby Teik Toe Teoh, Yu Jin Goh 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (385 pages) 225 1 $aMachine Learning: Foundations, Methodologies, and Applications,$x2730-9916 311 08$aPrint version: Teoh, Teik Toe Artificial Intelligence in Business Management Singapore : Springer,c2024 320 $aIncludes bibliographical references and index. 327 $aPart I: Artificial Intelligence Algorithms -- Chapter 1. Introduction to Artificial Intelligence -- Chapter 2. Regression -- Chapter 3. Classification -- Chapter 4. Clustering -- Chapter 5. Time Series -- Chapter 6. Convolutional Neural Networks -- Chapter 7. Text Mining -- Chapter 8. Chatbot, Speech and NLP -- Part II: Applications of Artificial Intelligence in Business Management -- Chapter 9. AI in Human Resource Management -- Chapter 10. AI in Sales -- Chapter 11. AI in Marketing -- Chapter 12. AI in Supply Chain Management -- Chapter 13. AI in Operations Management -- Chapter 14. AI in Corporate Finance -- Chapter 15. AI in Business Law -- Chapter 16. AI in Business Strategy -- References -- Index. 330 $aArtificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI?s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into howit can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success. 410 0$aMachine Learning: Foundations, Methodologies, and Applications,$x2730-9916 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBusiness$xData processing 606 $aMachine learning 606 $aPython (Computer program language) 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aBusiness Analytics 606 $aMachine Learning 606 $aPython 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBusiness$xData processing. 615 0$aMachine learning. 615 0$aPython (Computer program language) 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aBusiness Analytics. 615 24$aMachine Learning. 615 24$aPython. 676 $a658 700 $aTeoh$b Teik Toe$01216205 702 $aGoh$b Yu Jin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767506903321 996 $aArtificial Intelligence in Business Management$93655920 997 $aUNINA