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Generative AI for Business Innovation
A Practical Guide for Leadership to Realize Business Value with Generative AI
Introduction
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.
Part 1: Fundamentals of Generative AI
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: Developing a Winning Strategy
This part 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.
Part 3: Best Practices and Future Trends
The book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.
What You Will Learn
What are the various Generative AI technologies, including foundational models, LLM, auto encoders, GANs, VAEs, RAG, prompt engineering, and more. How to build a successful strategy for architecting and implementing Generative AI. Understanding preprocessing and setting up quality data for training generative AI models. Future trends in generative AI to build sustainable and trustworthy solutions.
Who This Book Is For
Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, responsible for driving innovation and strategy. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.
