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Decision making when there is little historic precedent
Lonnie Chrisman, Ph.D., CTO of Lumina Decision Systems and focuses on how computers can help you improve decision making and strategic planning in novel situations. For example, you might evaluate a new initiative or proposed policy that has never been tried before. Or the future world may change as a result of emerging technologies, a pandemic, climate change, or new regulations. Without historic precedent, you cannot simply extrapolate from the past, thus limiting the effectiveness of BI, data analysis and machine learning tools. Decision makers often find it challenging to develop a core understanding of key issues, core objectives and options, complex tradeoffs, and incomplete information and uncertainty. Different stakeholders are prone to adopt advocacy positions, which then hampers communication and rationality. Lonnie leads the design and development of Analytica, a software tool designed to address these types of challenges and proven successful, through the promotion of transparent model-based decision making. He will discuss how its unique design promotes clarity and insight.

Jan 25, 2022 11:00 AM in Pacific Time (US and Canada)

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Lonnie Chrisman
Chief Technology Officer @Lumina Decision Systems
Lonnie has a Ph.D. from the Department of Computer Science at Carnegie Mellon University in Machine Learning and Artificial Intelligence. He is the Chief Technology Officer at Lumina Decision Systems in Silicon Valley, California, where he heads the design and development of the company's flagship product Analytica. He had authored dozens of publications and contributed to early research in areas of machine learning, neural networks, reinforcement learning, autonomous mobile robotics, AI planning, probabilistic inference, Bayesian networks statistics and computational biology. As an undergraduate at UC Berkeley, he received the Alton B. Zerby award as the "Most outstanding Electrical Engineering Student in the USA."