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.
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.
Rich Heimann is a leader in machine learning and AI whose former titles include Chief AI Officer, Chief Data Scientist and Technical Fellow, and adjunct professor. He is the author of Doing AI: A Business-Centric Examination of AI Culture, Goals, and Values and co-author of Social Media Mining using R.
Clayton Pummill is a licensed attorney specializing in complex machine learning, data privacy, and cybersecurity initiatives while building enterprise solutions and support practices for organizations facing machine learning regulations.Active in the technology startup space, he has developed patented technology, co-founded organizations, and brought them through to successful exits.
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