Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics (BA), machine learning, and artificial intelligence (AI). Tailored for undergraduate, graduate, and professional learners, it equips readers with the knowledge and skills to leverage data-driven insights and AI technologies for strategic decision-making, operational optimization, and innovation in a dynamic global business environment. This book bridges the gap between theory and practice by:
- Introducing the foundational principles of business analytics and AI
- Demonstrating the integration of advanced AI techniques into business analytics processes
- Providing a unified guide to business analytics and machine learning with a focus on real-world applications
- Presenting a clear, practical, and accessible framework to harness AI and machine learning for solving complex business problems, optimizing operations, and driving innovation
- Exploring the ethical, legal, and social implications of AI in business contexts
- Presenting case studies and real-world applications from diverse industries to showcase
best practices
The textbook combines foundational concepts, advanced techniques, and hands-on applications, catering to readers with varying levels of technical expertise. It includes global perspectives of BA and AI, case studies, practical examples, and coding snippets (in Python or R) to help readers implement AI-driven solutions in their organizations. Topics span predictive analytics, machine learning, data visualization, natural language processing, and decision support systems, emphasizing how these tools empower businesses to stay competitive and ensure operational sustainability.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Zabihollah Rezaee is the Thompson-Hill Chair of Excellence and Emeritus Professor of Accountancy at the University of Memphis and has served a two-year term on the Standing Advisory Group of the Public Company Accounting Oversight Board (PCAOB). He is currently a Visiting Professor of AI, Sustainability and Governance at Corvinus University of Budapest.
Joseph H. Zhang is the Department Chair and the Robert W. and Patricia A. Maurer Family Distinguished Endowed Professor in the Department of Accounting and Management Information Systems at Bowling Green State University (BGSU) in Ohio, USA.
Salem Lotfi Boumediene is the Department Chair and Associate Professor at the University of Illinois Springfield (UIS) in the College of Business and Management.
Nick J. Rezaee is a graduate student in the Computational Biology and Quantitative Genetics program and programmer at the Harvard T.H Chen School of Public Health
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Rarewaves USA, HEBRON, KY, Etats-Unis
Paperback. Etat : New. Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics (BA), machine learning, and artificial intelligence (AI). Tailored for undergraduate, graduate, and professional learners, it equips readers with the knowledge and skills to leverage data-driven insights and AI technologies for strategic decision-making, operational optimization, and innovation in a dynamic global business environment. This book bridges the gap between theory and practice by:- Introducing the foundational principles of business analytics and AI- Demonstrating the integration of advanced AI techniques into business analytics processes - Providing a unified guide to business analytics and machine learning with a focus on real-world applications- Presenting a clear, practical, and accessible framework to harness AI and machine learning for solving complex business problems, optimizing operations, and driving innovation- Exploring the ethical, legal, and social implications of AI in business contexts- Presenting case studies and real-world applications from diverse industries to showcasebest practicesThe textbook combines foundational concepts, advanced techniques, and hands-on applications, catering to readers with varying levels of technical expertise. It includes global perspectives of BA and AI, case studies, practical examples, and coding snippets (in Python or R) to help readers implement AI-driven solutions in their organizations. Topics span predictive analytics, machine learning, data visualization, natural language processing, and decision support systems, emphasizing how these tools empower businesses to stay competitive and ensure operational sustainability. N° de réf. du vendeur LU-9781041124009
Quantité disponible : 2 disponible(s)
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics (BA), machine learning, and artificial intelligence (AI). Tailored for undergraduate, graduate, and professional learners, it equips readers with the knowledge and skills to leverage data-driven insights and AI technologies for strategic decision-making, operational optimization, and innovation in a dynamic global business environment. This book bridges the gap between theory and practice by:- Introducing the foundational principles of business analytics and AI- Demonstrating the integration of advanced AI techniques into business analytics processes - Providing a unified guide to business analytics and machine learning with a focus on real-world applications- Presenting a clear, practical, and accessible framework to harness AI and machine learning for solving complex business problems, optimizing operations, and driving innovation- Exploring the ethical, legal, and social implications of AI in business contexts- Presenting case studies and real-world applications from diverse industries to showcasebest practicesThe textbook combines foundational concepts, advanced techniques, and hands-on applications, catering to readers with varying levels of technical expertise. It includes global perspectives of BA and AI, case studies, practical examples, and coding snippets (in Python or R) to help readers implement AI-driven solutions in their organizations. Topics span predictive analytics, machine learning, data visualization, natural language processing, and decision support systems, emphasizing how these tools empower businesses to stay competitive and ensure operational sustainability. N° de réf. du vendeur LU-9781041124009
Quantité disponible : 2 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781041124009
Quantité disponible : Plus de 20 disponibles
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. In Stock. N° de réf. du vendeur __1041124007
Quantité disponible : 2 disponible(s)
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. 2026. 1st Edition. paperback. . . . . . N° de réf. du vendeur V9781041124009
Quantité disponible : 3 disponible(s)
Vendeur : Speedyhen, Hertfordshire, Royaume-Uni
Etat : NEW. N° de réf. du vendeur NW9781041124009
Quantité disponible : 3 disponible(s)
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781041124009
Quantité disponible : 3 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics (BA), machine learning, and artificial intelligence (AI). Tailored for undergraduate, graduate, and professional learners, it equips readers with the knowledge and skills to leverage data-driven insights and AI technologies for strategic decision-making, operational optimization, and innovation in a dynamic global business environment. This book bridges the gap between theory and practice by:- Introducing the foundational principles of business analytics and AI- Demonstrating the integration of advanced AI techniques into business analytics processes - Providing a unified guide to business analytics and machine learning with a focus on real-world applications- Presenting a clear, practical, and accessible framework to harness AI and machine learning for solving complex business problems, optimizing operations, and driving innovation- Exploring the ethical, legal, and social implications of AI in business contexts- Presenting case studies and real-world applications from diverse industries to showcasebest practicesThe textbook combines foundational concepts, advanced techniques, and hands-on applications, catering to readers with varying levels of technical expertise. It includes global perspectives of BA and AI, case studies, practical examples, and coding snippets (in Python or R) to help readers implement AI-driven solutions in their organizations. Topics span predictive analytics, machine learning, data visualization, natural language processing, and decision support systems, emphasizing how these tools empower businesses to stay competitive and ensure operational sustainability. Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics, machine learning, and artificial intelligence (AI). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781041124009
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Zabihollah Rezaee is the Thompson-Hill Chair of Excellence and Emeritus Professor of Accountancy at the University of Memphis and has served a two-year term on the Standing Advisory Group of the Public Company Accounting Oversight Board (PCAOB). H. N° de réf. du vendeur 3262989163
Quantité disponible : 3 disponible(s)
Vendeur : Rarewaves USA United, HEBRON, KY, Etats-Unis
Paperback. Etat : New. Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics (BA), machine learning, and artificial intelligence (AI). Tailored for undergraduate, graduate, and professional learners, it equips readers with the knowledge and skills to leverage data-driven insights and AI technologies for strategic decision-making, operational optimization, and innovation in a dynamic global business environment. This book bridges the gap between theory and practice by:- Introducing the foundational principles of business analytics and AI- Demonstrating the integration of advanced AI techniques into business analytics processes - Providing a unified guide to business analytics and machine learning with a focus on real-world applications- Presenting a clear, practical, and accessible framework to harness AI and machine learning for solving complex business problems, optimizing operations, and driving innovation- Exploring the ethical, legal, and social implications of AI in business contexts- Presenting case studies and real-world applications from diverse industries to showcasebest practicesThe textbook combines foundational concepts, advanced techniques, and hands-on applications, catering to readers with varying levels of technical expertise. It includes global perspectives of BA and AI, case studies, practical examples, and coding snippets (in Python or R) to help readers implement AI-driven solutions in their organizations. Topics span predictive analytics, machine learning, data visualization, natural language processing, and decision support systems, emphasizing how these tools empower businesses to stay competitive and ensure operational sustainability. N° de réf. du vendeur LU-9781041124009
Quantité disponible : 2 disponible(s)