Modern Approaches to Testing Alternatives: A/B Testing with Bandits

A/B testing is a tried and true method for deciding which business alternative is better. In our data driven world, they proliferate, and much attention has been given to most efficiently stop the worse alternative (which costs money). A new generation of algorithms have been developed and are widely deployed by leading data-driven companies. These “bandit algorithms” go beyond A/B testing and should be a key competency for data driven enterprises.

In this webinar, you learn about:

• The traditional settings for A/B testing in the online (marketing etc) and offline (clinical trials etc) world
• The technical pitfalls in A/B testing
• The motivation and technical solutions provided by “bandit algorithms”
• Real business examples where “bandit algorithms” are better
• A/B Testing ML models in production using Amazon SageMaker

Presenters

Dr. Rajan Lukose

Chief Data Scientist
Cambridge Technology, Inc.

Nitin Tyagi

Vice President, Enterprise Solutions
Cambridge Technology, Inc.