Enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence (BI), and big data analytics are business tasks and processes that are implemented using standardized software solutions. Artificial intelligence methods such as machine learning and generative AI influence and support these processes. This textbook allows students to learn, from a business perspective, how these methods are interconnected, how they influence one another, and what their limitations are. It teaches management-oriented thinking and acting, which are essential for computer scientists who work with business-process-oriented IT solutions.
The third edition of this textbook introduces artificial intelligence methods for the ERP, SCM, CRM, BI, and Big Data process chain. These business tasks and processes, implemented with standardized software systems, are increasingly linked to artificial intelligence methods with varying degrees of success. Human cognitive abilities are identified as suitability criteria for evaluating and selecting AI methods for operational business areas such as procurement, production, sales, asset management, finance and accounting, human resources, etc. The fundamentals of machine learning and neural networks are supplemented by general topics related to AI. The chapters on ERP, SCM, CRM, BI, and Big Data have been largely taken from the second edition. Errors have been corrected, and additions or updates have been made to single chapters. Extensive and confusing derivations and theoretical sections have been moved to the Appendix, and a case study for a virtual company has been included to be used throughout the book. Each chapter finishes with an online true/false quiz. With at least 80% passed, it grants access to supplementary online exercises, including cognitive skill assessments, inventory management optimization, backpropagation, and supplemental online materials (videos, documents) on the author’s Web page.
This book is aimed at business informatics students and industry professionals, who deal with business-oriented standardized software solutions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Klaus-Dieter Gronwald is a lecturer, author, serious game developer, and founder of Kdibis Learning Games. He combines teaching at various international business schools and colleges with a career as a senior executive in the IT services industry, developing new global sourcing strategies and advanced shared services models for IT and engineering services in virtual teams. Klaus-Dieter Gronwald graduated from Leibniz University Hannover, in Germany, with a Master’s and Ph.D. in Physics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur TBNQUEEXAV
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Hardback. Etat : New. Third Edition 2026. Enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence (BI), and big data analytics are business tasks and processes that are implemented using standardized software solutions. Artificial intelligence methods such as machine learning and generative AI influence and support these processes. This textbook allows students to learn, from a business perspective, how these methods are interconnected, how they influence one another, and what their limitations are. It teaches management-oriented thinking and acting, which are essential for computer scientists who work with business-process-oriented IT solutions.The third edition of this textbook introduces artificial intelligence methods for the ERP, SCM, CRM, BI, and Big Data process chain. These business tasks and processes, implemented with standardized software systems, are increasingly linked to artificial intelligence methods with varying degrees of success. Human cognitive abilities are identified as suitability criteria for evaluating and selecting AI methods for operational business areas such as procurement, production, sales, asset management, finance and accounting, human resources, etc. The fundamentals of machine learning and neural networks are supplemented by general topics related to AI. The chapters on ERP, SCM, CRM, BI, and Big Data have been largely taken from the second edition. Errors have been corrected, and additions or updates have been made to single chapters. Extensive and confusing derivations and theoretical sections have been moved to the Appendix, and a case study for a virtual company has been included to be used throughout the book. Each chapter finishes with an online true/false quiz. With at least 80% passed, it grants access to supplementary online exercises, including cognitive skill assessments, inventory management optimization, backpropagation, and supplemental online materials (videos, documents) on the author's Web page. This book is aimed at business informatics students and industry professionals, who deal with business-oriented standardized software solutions. N° de réf. du vendeur LU-9783662735275
Quantité disponible : 2 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 407681033
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Paperback. Etat : New. Third Edition 2026. N° de réf. du vendeur LU-9783662735275
Quantité disponible : 2 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. Enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence (BI), and big data analytics are business tasks and processes that are implemented using standardized software solutions. Artificial intelligence methods such as machine learning and generative AI influence and support these processes. This textbook allows students to learn, from a business perspective, how these methods are interconnected, how they influence one another, and what their limitations are. It teaches management-oriented thinking and acting, which are essential for computer scientists who work with business-process-oriented IT solutions.The third edition of this textbook introduces artificial intelligence methods for the ERP, SCM, CRM, BI, and Big Data process chain. These business tasks and processes, implemented with standardized software systems, are increasingly linked to artificial intelligence methods with varying degrees of success. Human cognitive abilities are identified as suitability criteria for evaluating and selecting AI methods for operational business areas such as procurement, production, sales, asset management, finance and accounting, human resources, etc. The fundamentals of machine learning and neural networks are supplemented by general topics related to AI. The chapters on ERP, SCM, CRM, BI, and Big Data have been largely taken from the second edition. Errors have been corrected, and additions or updates have been made to single chapters. Extensive and confusing derivations and theoretical sections have been moved to the Appendix, and a case study for a virtual company has been included to be used throughout the book. Each chapter finishes with an online true/false quiz. With at least 80% passed, it grants access to supplementary online exercises, including cognitive skill assessments, inventory management optimization, backpropagation, and supplemental online materials (videos, documents) on the authors Web page. This book is aimed at business informatics students and industry professionals, who deal with business-oriented standardized software solutions. Enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence (BI), and big data analytics are business tasks and processes that are implemented using standardized software solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783662735275
Quantité disponible : 1 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. third edition 2026 edition. 210 pages. 6.10x9.25x0.51 inches. In Stock. N° de réf. du vendeur __366273527X
Quantité disponible : 2 disponible(s)
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence (BI), and big data analytics are business tasks and processes that are implemented using standardized software solutions. Artificial intelligence methods such as machine learning and generative AI influence and support these processes. This textbook allows students to learn, from a business perspective, how these methods are interconnected, how they influence one another, and what their limitations are. It teaches management-oriented thinking and acting, which are essential for computer scientists who work with business-process-oriented IT solutions.The third edition of this textbook introduces artificial intelligence methods for the ERP, SCM, CRM, BI, and Big Data process chain. These business tasks and processes, implemented with standardized software systems, are increasingly linked to artificial intelligence methods with varying degrees of success. Human cognitive abilities are identified as suitability criteria for evaluating and selecting AI methods for operational business areas such as procurement, production, sales, asset management, finance and accounting, human resources, etc. The fundamentals of machine learning and neural networks are supplemented by general topics related to AI. The chapters on ERP, SCM, CRM, BI, and Big Data have been largely taken from the second edition. Errors have been corrected, and additions or updates have been made to single chapters. Extensive and confusing derivations and theoretical sections have been moved to the Appendix, and a case study for a virtual company has been included to be used throughout the book. Each chapter finishes with an online true/false quiz. With at least 80% passed, it grants access to supplementary online exercises, including cognitive skill assessments, inventory management optimization, backpropagation, and supplemental online materials (videos, documents) on the author s Web page.This book is aimed at business informatics students and industry professionals, who deal with business-oriented standardized software solutions. 191 pp. Englisch. N° de réf. du vendeur 9783662735275
Quantité disponible : 2 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. N° de réf. du vendeur 18406521820
Quantité disponible : 1 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26406521814
Quantité disponible : 1 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. third edition 2026 edition. 210 pages. 6.10x9.25x0.51 inches. In Stock. N° de réf. du vendeur x-366273527X
Quantité disponible : 1 disponible(s)