Generative Artificial Intelligence Revealed

Understanding AI from Technical Depth to Business Insights to Responsible Adoption

De: Richard Heimann, Clayton Pummill

Narrado por: Phil Bechtel

Since the release of ChatGPT in November 2022, generative artificial intelligence has gained significant attention from both enthusiasts and skeptics. While facing the typical challenges associated with a rapidly evolving technology, business leaders must also find ways to responsibly adopt generative AI while paradoxically embracing and avoiding excessive hype, skepticism, and risk—all essential to finding a sustainable path to innovation.

Rich Heimann and Clayton Pummill rely on their seasoned professional expertise to help leaders understand the potential of generative AI to drive business innovation, navigate the complexities of ethical deployment, and recognize the pitfalls and misconceptions associated with this transformative technology. Through their guidance and balanced perspectives, leaders will also learn how AI has exceeded expectations of modern machine learning as well as how to:

• Implement strategies for the adoption of language models;
• Navigate through the leaky nature of generative technology;
• Overcome regulatory and ethical hurdles to ensure long-term success; and
• Analyze the real and perceived risks of AI.

Generative Artificial Intelligence Revealed is a comprehensive guide that educates business leaders on balancing short-term risks with long-term positioning to harness the power of generative AI, stay ahead of the competition, and effectively lead their organizations through change.

©2024 Richard Heimann and Clayton Pummill (P)2024 Richard Heimann

A Solid Foundation for Navigating Generative AI Opportunities and Risks

I appreciated the pragmatic actionable advice in this book. It is information dense about the legal, ethical, practical, and useful aspects of Generative AI. But still approachable to anyone with leadership experience in business.

You can tell the authors put a lot of time into researching the state of the art, and a lot of effort into condensing the myriad topics into the need to know content.

After reading this, I felt like I have a much broader perspective on the risks and rewards of adopting generative AI. And I know more specific details about the state of the art.