Center for Artificial Intelligence in Business Analytics and Financial Technology
The complexity of the factors that influence pricing continues to grow as markets become more efficient and product offerings become more broad. Quickly incorporating all relevant conditions including supply, demand, competition, supply-chain capabilities, and customer preferences can be impossible without the proper analytical tools. Because optimization is a central task of machine learning, the application of artificial intelligence and machine learning can help organizations can better understand these market dynamics and proactively manage operations to optimize the desired outcomes.
Cyrus Derman Associate Professor of Engineering
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Professor; Director of Center for AI in Business Analysis and Financial Technology; Director of Center for Financial Engineering
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Tang Family Professor of Engineering
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