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Aggiungi al carrelloHardcover. Condizione: Brand New. 360 pages. 10.00x7.00x10.24 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032999691 ISBN 13: 9781032999692
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Business operations today show evidence of profound DNA-level transformations brought about by existing artificial intelligence (AI) technology. Decoding AI: Practical Implementations for Business Operations reveals real artificial intelligence potentials through practical insights and innovative frameworks, and transformative case studies that operate across different business sectors.The book explores AI model types, including large language models (LLMs) and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service, and fraud detection and personalized commerce functions. Through its blend of academic AI knowledge and practical business insights, the content enables readers to understand complex algorithms better while achieving improved operational facility.Key highlights include:Ethical frameworks for responsible AI and human-aligned intelligenceData-centric strategies to improve transparency, explainability, and governanceDomain-specific innovations in pricing, negotiation modeling, and behavioral predictionReal-world case studies demonstrating the transformative power of AI in decision-makingA special focus on the integration of AI in strategic, financial, and customer-facing functionsWhether youre a C-suite executive, startup founder, researcher, academician, or tech enthusiast, this book is designed to equip you with both the strategic vision and technical foundation to embrace AI confidently in your business journey.Let this volume be your guide in navigating the evolving AI landscape not just to keep up with innovation, but to lead it. The book explores AI model types including Large Language Models and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service and fraud detection and personalized commerce functions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032999691 ISBN 13: 9781032999692
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Business operations today show evidence of profound DNA-level transformations brought about by existing artificial intelligence (AI) technology. Decoding AI: Practical Implementations for Business Operations reveals real artificial intelligence potentials through practical insights and innovative frameworks, and transformative case studies that operate across different business sectors.The book explores AI model types, including large language models (LLMs) and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service, and fraud detection and personalized commerce functions. Through its blend of academic AI knowledge and practical business insights, the content enables readers to understand complex algorithms better while achieving improved operational facility.Key highlights include:Ethical frameworks for responsible AI and human-aligned intelligenceData-centric strategies to improve transparency, explainability, and governanceDomain-specific innovations in pricing, negotiation modeling, and behavioral predictionReal-world case studies demonstrating the transformative power of AI in decision-makingA special focus on the integration of AI in strategic, financial, and customer-facing functionsWhether youre a C-suite executive, startup founder, researcher, academician, or tech enthusiast, this book is designed to equip you with both the strategic vision and technical foundation to embrace AI confidently in your business journey.Let this volume be your guide in navigating the evolving AI landscape not just to keep up with innovation, but to lead it. The book explores AI model types including Large Language Models and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service and fraud detection and personalized commerce functions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Hemachandran K has been a passionate teacher with 14 years of teaching experience and five years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & ML. After receiving a Ph.D. i.
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Aggiungi al carrelloBuch. Condizione: Neu. Decoding AI | Practical Implementations for Business Operations | Alexander Didenko (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Productivity Press | EAN 9781032999692 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032999691 ISBN 13: 9781032999692
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 302,79
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Business operations today show evidence of profound DNA-level transformations brought about by existing artificial intelligence (AI) technology. Decoding AI: Practical Implementations for Business Operations reveals real artificial intelligence potentials through practical insights and innovative frameworks, and transformative case studies that operate across different business sectors.The book explores AI model types, including large language models (LLMs) and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service, and fraud detection and personalized commerce functions. Through its blend of academic AI knowledge and practical business insights, the content enables readers to understand complex algorithms better while achieving improved operational facility.Key highlights include:Ethical frameworks for responsible AI and human-aligned intelligenceData-centric strategies to improve transparency, explainability, and governanceDomain-specific innovations in pricing, negotiation modeling, and behavioral predictionReal-world case studies demonstrating the transformative power of AI in decision-makingA special focus on the integration of AI in strategic, financial, and customer-facing functionsWhether youre a C-suite executive, startup founder, researcher, academician, or tech enthusiast, this book is designed to equip you with both the strategic vision and technical foundation to embrace AI confidently in your business journey.Let this volume be your guide in navigating the evolving AI landscape not just to keep up with innovation, but to lead it. The book explores AI model types including Large Language Models and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service and fraud detection and personalized commerce functions. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 273,24
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book explores AI model types including Large Language Models and multimodal embeddings alongside reinforcement learning and decision-priming simulations while discussing their impact on finance and marketing alongside healthcare and customer service and fraud detection and personalized commerce functions.