Rich Heimann

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… Show more

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. Show less

Generative artificial intelligence has caught up to years of hype. As a result, companies are scrambling to adopt and deploy generative models. Yet, there are also concerns surrounding this innovative technology. Businesses must approach this opportunity with both optimism and caution. Generative Artificial Intelligence: More Than You Asked For helps decision-makers anticipate foreseeable risks created by the strange technological artifacts of generative technology. This includes the data used… Show more

Generative artificial intelligence has caught up to years of hype. As a result, companies are scrambling to adopt and deploy generative models. Yet, there are also concerns surrounding this innovative technology. Businesses must approach this opportunity with both optimism and caution. Generative Artificial Intelligence: More Than You Asked For helps decision-makers anticipate foreseeable risks created by the strange technological artifacts of generative technology. This includes the data used to train these models, the tendency of generative models to memorize training data, vulnerabilities to direct and indirect adversarial prompting, its tendency to leak sensitive information, and the rapidly evolving regulatory and legal concerns. Simply put, Richard Heimann and Clayton Pummill promote safer and more secure implementations for businesses with practical knowledge and sensible suggestions. Show less

When businesses try to “do AI,” they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place.

Doing AI explores AI for what it actually is—and what it is not— and the problems it can truly solve. In these pages, author Richard Heimann unravels the tricky relationship… Show more

When businesses try to “do AI,” they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place.

Doing AI explores AI for what it actually is—and what it is not— and the problems it can truly solve. In these pages, author Richard Heimann unravels the tricky relationship between problems and high-tech solutions, exploring the pitfalls in solution-centric thinking and explaining how businesses should rethink AI to align with their cultures, goals, and values. Show less

Social Media Mining in R provides a light theoretical background, comprehensive instruction, and state-of-the-art techniques, and by reading this book, you will be well-equipped to embark on your analyses of social media data. (fysa: the book is out of date; do not buy)