Generative AI for Business Innovation by Brajesh De (.ePUB)+
File Size: 13.1 MB
Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI by Brajesh De
Requirements: .ePUB, .PDF reader, 13.1 MB | True PDF, True EPUB
Overview: 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. 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.
Genre: Non-Fiction > Tech & Devices
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