De Brajesh (42 results)

paperback. Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

paperback. Condition: Good. Our good condition books are generally good for reading but not for gifting or collecting. They could have imperfections such as creasing, fanning, inscriptions, margin notes, yellowing, staining on edge or cover or pages, bumps, scuffs, etc etc (sometimes multiple of these). It's a wide category that encompasses anything that isn't almost-new down to anything that is slightly better than poor. We would NOT recommend gifting Good books - these should be considered reading copies. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.…

paperback. Condition: Very Good. Gently used, if at all. No markings.

Condition: New.

Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Paperback or Softback. Condition: New. API Management: An Architect's Guide to Developing and Managing APIs for Your Organization. Book.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Second Edition. APIs are the enablers for a thriving ecosystem that can drive revenue growth and ROIs for any organization. This book will cover all relevant topics and trends that enterprise architects need to know to build and govern APIs as a product.The second edition of the API Management builds on the foundation established in the first edition to cover recent advances in API development as well as the principles and best practices of building API as a product. It has been updated to cover the latest and emerging trends in API architecture, design, and implementation  covering the use of gRPC, graphQL, microservices and service mesh  to building and manage a scalable API platform. New chapters cover how to build an effective API strategy for digital transformation and implement an API-First architecture to build and deliver APIs as a Product. Any software architect or developer looking to adopt and build APIs for digital transformation and excellence within their organization will find this book to be an invaluable resource.What You Will LearnUnderstand API Management Architecture and Design best practicesHow to build an effective API strategy and build APIs as productHow to design, build and test APIs using API-First approachHow to implement API SecurityWhat are the latest API technology trends and adoption across industry  Who This Book Is ForCxOs, software architects, and developers who are looking to implement APIs within their organization for digital transformation initiatives.…

Paperback. Condition: New. This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn:What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.How to build a successful strategy for architecting and implementing Generative AIUnderstand Preprocessing and setting up quality data for training generative AI modelsWhat are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.…

Condition: New.

Paperback. Condition: New. Second Edition. APIs are the enablers for a thriving ecosystem that can drive revenue growth and ROIs for any organization. This book will cover all relevant topics and trends that enterprise architects need to know to build and govern APIs as a product.The second edition of the API Management builds on the foundation established in the first edition to cover recent advances in API development as well as the principles and best practices of building API as a product. It has been updated to cover the latest and emerging trends in API architecture, design, and implementation  covering the use of gRPC, graphQL, microservices and service mesh  to building and manage a scalable API platform. New chapters cover how to build an effective API strategy for digital transformation and implement an API-First architecture to build and deliver APIs as a Product. Any software architect or developer looking to adopt and build APIs for digital transformation and excellence within their organization will find this book to be an invaluable resource.What You Will LearnUnderstand API Management Architecture and Design best practicesHow to build an effective API strategy and build APIs as productHow to design, build and test APIs using API-First approachHow to implement API SecurityWhat are the latest API technology trends and adoption across industry  Who This Book Is ForCxOs, software architects, and developers who are looking to implement APIs within their organization for digital transformation initiatives.…

Paperback. Condition: New. This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn:What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.How to build a successful strategy for architecting and implementing Generative AIUnderstand Preprocessing and setting up quality data for training generative AI modelsWhat are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

Condition: New.

paperback. Condition: Very Good.

Condition: New. In English.

Taschenbuch. Condition: Neu. Neuware -This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn: - What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more. - How to build a successful strategy for architecting and implementing Generative AI - Understand Preprocessing and setting up quality data for training generative AI models - What are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.…

Paperback. Condition: New. Second Edition. APIs are the enablers for a thriving ecosystem that can drive revenue growth and ROIs for any organization. This book will cover all relevant topics and trends that enterprise architects need to know to build and govern APIs as a product.The second edition of the API Management builds on the foundation established in the first edition to cover recent advances in API development as well as the principles and best practices of building API as a product. It has been updated to cover the latest and emerging trends in API architecture, design, and implementation  covering the use of gRPC, graphQL, microservices and service mesh  to building and manage a scalable API platform. New chapters cover how to build an effective API strategy for digital transformation and implement an API-First architecture to build and deliver APIs as a Product. Any software architect or developer looking to adopt and build APIs for digital transformation and excellence within their organization will find this book to be an invaluable resource.What You Will LearnUnderstand API Management Architecture and Design best practicesHow to build an effective API strategy and build APIs as productHow to design, build and test APIs using API-First approachHow to implement API SecurityWhat are the latest API technology trends and adoption across industry  Who This Book Is ForCxOs, software architects, and developers who are looking to implement APIs within their organization for digital transformation initiatives.…

Paperback. Condition: New. This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn:What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.How to build a successful strategy for architecting and implementing Generative AIUnderstand Preprocessing and setting up quality data for training generative AI modelsWhat are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.…

Condition: NEW.

Taschenbuch. Condition: Neu. Neuware - This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn:What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.How to build a successful strategy for architecting and implementing Generative AIUnderstand Preprocessing and setting up quality data for training generative AI modelsWhat are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.…

Taschenbuch. Condition: Neu. Generative AI for Business Innovation | A Practical Guide for Leadership to Realize Business Value with Generative AI | Brajesh De | Taschenbuch | xxv | Englisch | 2026 | Apress | EAN 9798868826818 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New.

Paperback. Condition: New. Second Edition. APIs are the enablers for a thriving ecosystem that can drive revenue growth and ROIs for any organization. This book will cover all relevant topics and trends that enterprise architects need to know to build and govern APIs as a product.The second edition of the API Management builds on the foundation established in the first edition to cover recent advances in API development as well as the principles and best practices of building API as a product. It has been updated to cover the latest and emerging trends in API architecture, design, and implementation  covering the use of gRPC, graphQL, microservices and service mesh  to building and manage a scalable API platform. New chapters cover how to build an effective API strategy for digital transformation and implement an API-First architecture to build and deliver APIs as a Product. Any software architect or developer looking to adopt and build APIs for digital transformation and excellence within their organization will find this book to be an invaluable resource.What You Will LearnUnderstand API Management Architecture and Design best practicesHow to build an effective API strategy and build APIs as productHow to design, build and test APIs using API-First approachHow to implement API SecurityWhat are the latest API technology trends and adoption across industry  Who This Book Is ForCxOs, software architects, and developers who are looking to implement APIs within their organization for digital transformation initiatives.…

Paperback. Condition: New. This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn:What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.How to build a successful strategy for architecting and implementing Generative AIUnderstand Preprocessing and setting up quality data for training generative AI modelsWhat are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.…

Taschenbuch. Condition: Neu. Neuware -This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn: What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more. How to build a successful strategy for architecting and implementing Generative AI Understand Preprocessing and setting up quality data for training generative AI models What are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems. 368 pp. Englisch.…

Paperback. Condition: new. Paperback. This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.What you will learn:What are the various Generative AI technologies Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.How to build a successful strategy for architecting and implementing Generative AIUnderstand Preprocessing and setting up quality data for training generative AI modelsWhat are the future trends in generative AI to build sustainable and trustworthy solutionsWho this book is for:Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: new. Questo è un articolo print on demand.