In today's evolving digital landscape, large language models (LLMs) transform how businesses innovate, compete, and deliver value. Organizations can harness the power of these advanced AI tools to streamline operations and unlock new revenue streams. From automating content creation and optimizing workflows to enabling smarter decision-making, deploying LLMs across various industries is essential for innovation. LLMs help businesses prepare for and identify emerging trends, helping leaders anticipate the next wave of AI-driven disruption and opportunity. Leveraging LLMs for Business Innovation: Practical Solutions and Future Trends explores how large language models (LLMs) revolutionize business applications, from automation and decision-making to customer engagement and predictive analytics. It bridges the gap between AI research and real-world business applications. Covering topics such as fraud detection, artificial intelligence, and risk management, this book is an excellent resource for academicians, researchers, engineers, business owners, data scientists, and policymakers.
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Prof. (Dr.) Sherif Ismail : Philanthropist | Professor | Entrepreneur | Author | AI business Mentor | Global Trainer | Researcher With over 25 years of experience in the software industry, Dr. Sherif Ismail brings a wealth of expertise and a proven track record in Business Information Systems. His comprehensive skill set, and practical insights have established him as a seasoned professional in the field. Throughout his career, he has excelled in various roles, including developer, designer, analyst, project manager, and quality expert. This extensive experience has honed his abilities and equipped him with a deep understanding of software engineering principles. In addition to his remarkable industry background, Dr. Ismail has made significant contributions to the academic community. He has held prestigious positions as a lecturer at Maritime Academy for Science and technology, the University of Hail, assistant professor at the University of Dammam, Currently, he serves as a Professor at the American University, and professor at Umm Al-Qura University. where his expertise is highly valued. Dr. Ismail's research interests encompass several cutting-edge domains, including Artificial Intelligence (AI), Natural Language Processing, Knowledge Management, and Sentiment Analysis. His innovative work in these areas has garnered attention and recognition from peers and professionals alike. As a result, he has published over 100 research papers across various domains, demonstrating his intellectual prowess and dedication to advancing knowledge. By seamlessly integrating his theoretical expertise with his extensive practical experience, Dr. Ismail has solidified his position as an accomplished software engineering professional. His comprehensive skill set, remarkable research contributions, and academic qualifications make him an invaluable asset to both the industry and academia.
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Paperback. Condición: new. Paperback. In today's evolving digital landscape, large language models (LLMs) transform how businesses innovate, compete, and deliver value. Organizations can harness the power of these advanced AI tools to streamline operations and unlock new revenue streams. From automating content creation and optimizing workflows to enabling smarter decision-making, deploying LLMs across various industries is essential for innovation. LLMs help businesses prepare for and identify emerging trends, helping leaders anticipate the next wave of AI-driven disruption and opportunity. Leveraging LLMs for Business Innovation: Practical Solutions and Future Trends explores how large language models (LLMs) revolutionize business applications, from automation and decision-making to customer engagement and predictive analytics. It bridges the gap between AI research and real-world business applications. Covering topics such as fraud detection, artificial intelligence, and risk management, this book is an excellent resource for academicians, researchers, engineers, business owners, data scientists, and policymakers. "This book aims to provide a thorough understanding of how LLMs can be leveraged for business innovation"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337339139
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's evolving digital landscape, large language models (LLMs) transform how businesses innovate, compete, and deliver value. Organizations can harness the power of these advanced AI tools to streamline operations and unlock new revenue streams. From automating content creation and optimizing workflows to enabling smarter decision-making, deploying LLMs across various industries is essential for innovation. LLMs help businesses prepare for and identify emerging trends, helping leaders anticipate the next wave of AI-driven disruption and opportunity. Leveraging LLMs for Business Innovation: Practical Solutions and Future Trends explores how large language models (LLMs) revolutionize business applications, from automation and decision-making to customer engagement and predictive analytics. It bridges the gap between AI research and real-world business applications. Covering topics such as fraud detection, artificial intelligence, and risk management, this book is an excellent resource for academicians, researchers, engineers, business owners, data scientists, and policymakers. Nº de ref. del artículo: 9798337339139
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Taschenbuch. Condición: Neu. Leveraging LLMs for Business Innovation | Practical Solutions and Future Trends | Sherif Mohamed A. Ismail | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337339139 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134565985
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