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Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure

This prize-winning paper describes a novel optimization-based approach to learning from experiments conducted in the world of physical retail. This approach solves a long-standing problem of learning from physical retail experiments when treatment effects are small, the environment is highly noisy and nonstationary, and interference and adherence problems are commonplace.

2022 Daniel H. Wagner Prize Awarded to Researchers from MIT and Anheuser-Busch for Work that Results in Millions in Monthly Revenue

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Data-driven, Dynamic Optimization of Greece’s COVID-19 Travel Protocols

Machine learning algorithm used to develop targeted testing system.

How reliable are search terms for SEO and SEM results?

How reliable are search terms for SEO and SEM results?

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Increasing Automobile Safety with Better Testing Procedures

Ford looks to analytics to improve vehicle crash test procedures.

Google Headquarters

Google

Advanced analytics permeates work at Google, making the multinational technology giant a ‘candy store for O.R. practitioners.’