Brajesh De | Generative AI for Business Innovation. A Practical Guide for Leadership to Realize Business Value with Generative AI (2026) [PDF, EPUB]
Автор: Brajesh De
Издательство: Apress
ISBN: 979-8-8688-2682-5
Жанр: Компьютерная литература
Язык: Английский
Формат: PDF, EPUB
Качество: Изначально электронное (ebook)
Иллюстрации: Черно-белые
Описание: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.
The platform layer consists of the software and tools used to develop, train, and deploy LLM models. These include programming languages like Python, libraries such as PyTorch and TensorFlow, and specialized platforms like Hugging Face Transformers, LangChain, and LlamaIndex. For deployment, tools like MLflow, TensorFlow Serving, and cloud-based solutions like AWS SageMaker and Azure Machine Learning are popular.
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 solutions
About the Author xiii
About the Technical Reviewer xv
Acknowledgments xvii
Structure of the Book xix
Introduction xxiii
Chapter 1: Demystifying Generative AI 1
Chapter 2: A Double-Edged Sword: Benefits and Risks of Generative AI 41
Chapter 3: Generative AI in Action: Industry Use Cases 75
Chapter 4: Assessing Your Generative AI Readiness 131
Chapter 5: Building a Winning Generative AI Strategy 155
Chapter 6: Generative AI Architecture and Infrastructure: Building the Foundation 205
Chapter 7: Building the Data Architecture for Generative AI 235
Chapter 8: Building a High-Performance Team for Generative AI 255
Chapter 9: Scaling Generative AI: From Pilot to Enterprise Value 275
Chapter 10: The Next Wave of Generative AI: Preparing Business and Technology Leadership for the Future 311
Index 331
Скриншоты:
Время раздачи: с 10 до 20 (минимум до появления первых 3-5 скачавших) 
