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Webinar Summary

According to Forrester, 70% of financial services organizations are investing in optimization technologies. And 53% plan to use it for even more use cases in the next few years.

Why the widespread interest in a technology many have never heard of? And why do 54% of firms report that optimization is critical to their business?

Leading financial services firms are turning to next-gen AI technologies such as mathematical optimization (MO) and machine learning (ML) to provide analysts with predictive power, and decision-making insights. To understand more, Gurobi commissioned a custom study from Forrester Consulting to understand how decision makers involved with assets, operations, and portfolio risk management are using optimization technologies today.

In this webinar, hear findings from the 2021 Forrester Mathematical Optimization Financial Services Study and insights on how financial institutions are harnessing the power of mathematical optimization to see significant benefits, such as the ability to increase profits and gain competitive advantage.

You’ll learn:

– How today’s financial services firms are using mathematical optimization

– Why this technology empowers greater profitability, a competitive advantage, and operational efficiency

– How to combine mathematical optimization with machine learning

– What mathematical optimization can do for your organization’s decision making

 

Presented Materials

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Meet the Experts

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Dr. Edward Rothberg

Chief Scientist and Chairman of the Board

Dr. Edward Rothberg

Chief Scientist and Chairman of the Board

Dr. Rothberg has served in senior leadership positions in optimization software companies for more than twenty years. Prior to his role as Gurobi CEO, Dr. Rothberg held the Gurobi COO position since co-founding Gurobi in 2008, and prior to that he led the ILOG CPLEX team. Dr. Edward Rothberg has a BS in Mathematical and Computational Science from Stanford University, and an MS and PhD in Computer Science, also from Stanford University. Dr. Rothberg has published numerous papers in the fields of linear algebra, parallel computing, and mathematical programming. He is one of the world's leading experts in sparse Cholesky factorization and computational linear, integer, and quadratic programming. He is particularly well known for his work in parallel sparse matrix factorization, and in heuristics for mixed integer programming.

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