Название: Generative AI For Executives: A Strategic Roadmap for Your Organization
Автор: Ahmed Bouzid, Paolo Narciso, Weiye Ma
Издательство: Apress
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf (true), epub (true), rtf, mobi
Размер: 10.1 MB

In the fast-evolving digital landscape, understanding the potential of generative AI is a strategic advantage. This book can serve as an easy to read introduction to the topic of the transformative power of AI in content creation, customer engagement, and operational efficiency. By deciphering complex AI concepts into practical insights, we empower decision-makers to envision innovative strategies, foster cross-industry collaborations, and navigate ethical considerations. The book will help executives and business decision makers to harness the immense potential of generative AI responsibly, ensuring data integrity and compliance while fostering a competitive edge.

The book is focused on (1) Explaining in jargon-free language what Generative AI, and AI in general, (2) What problems they solve, and (3) What technologies make them possible.

Generative Adversarial Networks (GANs) are an architecture in Generative AI that consists of two subsystems—a generator and a discriminator—engaged in a competitive learning process. In a real sense, such a system is like a creative duo, where one member (the creator) generates content, while the other critiques it (the critic). The creator starts with basic creations and improves by learning from the critic’s feedback. Simultaneously, the critic becomes adept at distinguishing real from fake. This dynamic competition elevates the skills of both the creator and the critic, with the creator constantly refining their creations to fool the discerning critic. Over time, this collaborative process produces astonishingly realistic and high-quality creations, making a GAN-based system a powerful tool for generating lifelike text, music, images, or even art.

What You Will Learn:
How generative AI models are built, how they generate new data or content, and the underlying algorithms powering these processes
Various practical applications of generative AI in business contexts
The challenges that could arise during the integration of generative AI into business processes

Who This Book is For:
This book is meant to be bought and read by busy executives and business leaders.






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