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Paperback. Zustand: New. This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security.Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption.Through real-world case studies, the book illustrates AI's impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings.By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards.You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations.Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows.Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption.Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards.This book is for : Enterprise Architects.…

Paperback. Zustand: New. This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security.Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption.Through real-world case studies, the book illustrates AI's impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings.By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards.You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations.Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows.Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption.Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards.This book is for : Enterprise Architects.…

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Paperback. Zustand: New. This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security.Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption.Through real-world case studies, the book illustrates AI's impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings.By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards.You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations.Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows.Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption.Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards.This book is for : Enterprise Architects.…

Zustand: New. pp. 136.

Paperback. Zustand: New. This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security.Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption.Through real-world case studies, the book illustrates AI's impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings.By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards.You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations.Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows.Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption.Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards.This book is for : Enterprise Architects.…

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Taschenbuch. Zustand: Neu. Observations on Reusability, Frameworks and Testing | Process and Metric Models | Divya Ranjan (u. a.) | Taschenbuch | 236 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846530290 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saxena DivyaThe author has done her B.D.S. and M.D.S. (Periodontics) from BFUHS, Faridkot, India. She had many scientific presentations and publications to her credit. Recently, she was awarded a special prize for her research work a. …

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Zustand: New. Print on Demand pp. 136 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ranjan AmitDr.A.Ranjan graduated in Veterinary Sc.& master in Animal Nutrition from OUAT & NDUAT in 2008 & 2010,respectively & doing PhD from WBUAFS. He has to his credit a book, 6 scientific papers, 23 technical articles & 12 abstra. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Software testing, being the costliest and effort intensive phase of software development, has always demanded attention of researchers for some methodology, strategy, process and measurement etc. so that the testing cost and thence the development cost is reduced without any compromise in the quality of the software being developed. The aim of the work described in this book is purposeful consideration of reuse technology for achieving test effort reduction in software development. A two-pronged approach has been considered here for this purpose. The first one attempts to reduce testing effort by integrating reuse to software testing processes and thereby proposed and established the need of 'Reuse-Oriented Software Testing Process Model'. The otherapproach discusses testability of reusable software frameworks, as an attempt to reduce testing effort in case of framework-oriented software development. This work purposefully considers 'framework' testability metric models. The researchers and practitioners dealing with software testing, software reuse, frameworks and their testability, can find the discussion, observations and conclusions reported herein useful. 236 pp. Englisch.…

Zustand: New. PRINT ON DEMAND pp. 136.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ranjan DivyaDivya Ranjan serving as assistant professor in Department of Computer Science, Banaras Hindu University, India, Her area of research is software engineering. A K Tripathi, professor in Computer Engineering, at IT-BHU, Ind.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Software testing, being the costliest and effort intensive phase of software development, has always demanded attention of researchers for some methodology, strategy, process and measurement etc. so that the testing cost and thence the development cost is reduced without any compromise in the quality of the software being developed. The aim of the work described in this book is purposeful consideration of reuse technology for achieving test effort reduction in software development. A two-pronged approach has been considered here for this purpose. The first one attempts to reduce testing effort by integrating reuse to software testing processes and thereby proposed and established the need of 'Reuse-Oriented Software Testing Process Model'. The otherapproach discusses testability of reusable software frameworks, as an attempt to reduce testing effort in case of framework-oriented software development. This work purposefully considers 'framework' testability metric models. The researchers and practitioners dealing with software testing, software reuse, frameworks and their testability, can find the discussion, observations and conclusions reported herein useful.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 236 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Software testing, being the costliest and effort intensive phase of software development, has always demanded attention of researchers for some methodology, strategy, process and measurement etc. so that the testing cost and thence the development cost is reduced without any compromise in the quality of the software being developed. The aim of the work described in this book is purposeful consideration of reuse technology for achieving test effort reduction in software development. A two-pronged approach has been considered here for this purpose. The first one attempts to reduce testing effort by integrating reuse to software testing processes and thereby proposed and established the need of 'Reuse-Oriented Software Testing Process Model'. The otherapproach discusses testability of reusable software frameworks, as an attempt to reduce testing effort in case of framework-oriented software development. This work purposefully considers 'framework' testability metric models. The researchers and practitioners dealing with software testing, software reuse, frameworks and their testability, can find the discussion, observations and conclusions reported herein useful.…

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