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David Savlowitz

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talks

CEO & Founder, Competitive Analytics

David Savlowitz is CEO & Founder of Competitive Analytics located in Newport Beach, California USA, a professor at the University of California Irvine teaching Predictive Analytics for the highly ranked Master of Science in Business Analytics program, and visiting professor for Swiss Education Group teaching Business Strategy, Data-Driven Decision Making, and Data Visualization in Leysin and Brig Switzerland. David is also a sought-after speaker on economics, business strategy, predictive analytics, machine learning, AI, consumer trends, and data visualization. David's firm Competitive Analytics is celebrating its 23rd year as an innovative full-service analytics and business economics organization - with clients that span all sectors and industries - from Fortune 500 companies such as Boeing, Honda, Toyota, Yamaha, Eaton, Macy’s, and Amgen to the smallest SMBs and niche firms. Prior experience includes Director of Market Research at Irvine Company and Senior Analyst at Ernst & Young. David earned a B.S. and M.B.A. from Arizona State University while studying Computer Science, Classical Music, and Jazz Composition. When he has spare time, David reads psychology and philosophy and writes and records original music in his state-of-the-art recording studio.

Bio from: Data Universe 2024

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Join our panel of experts in exploring the cutting-edge realm of Decision Intelligence and discover how it diverges from traditional Data Analytics and Business Intelligence, reshaping the landscape of strategic decision-making. Our panel explores real-world instances where Decision Intelligence catalyzed profound organizational shifts, yielding tangible results. This is a not to miss session examining the future of decision-making and how to harness balance between forecasting and human oversight for maximum efficiency! 

Companies need reliable information about the future to make decisions in the present. Strategic plans and budgets rely on good guesses about what the future holds. But typical approaches to planning are often rarefied and insulated from the real world. There's an approach developed in Switzerland and Southern California that holds real promise: Gamification.

Games are inherently competitive—which means the player with the optimal strategy prevails. That optimization can be applied to forecasting and prediction, yielding significantly better results. David Savlowitz offers a peek into gamified forecasting, a convergence of competitive gaming, investment strategy, data science, and human psychology that enables accurate forecasts.

In this session, David will explain how competitive approaches can involve a wider group that includes economists, data scientists, and non-technical staff; and how tournament models where players are rewarded for accurate predictions that maximize return on investment and minimize forecasting error.