Many organizations use the terms “machine learning” and “optimization” to describe technologies that they use to improve their decisions. These two techniques have much in common and are frequently used in conjunction. Nevertheless, there is often confusion regarding how they are related, how to use them together, and how to operationalize solutions that use both. In fact, if you were to ask two experts about which scenarios lend themselves more to machine learning, optimization, or both, you might get two different answers.
Luckily, FICO has two such experts, and they are excited to address all of these questions and more. Please join our complimentary webinar, hosted by Jari Koister and Oliver Bastert—two PhD subject matter experts in machine learning and optimization. Jari and Oliver will guide you through the similarities and differences of both techniques, and they’ll also discuss examples of how to operationalize solutions that use a combination of optimization and machine learning to reach the best possible outcome in adaptive and dynamic environments. Whether you’re a highly technical data scientist or a business user of decision technology, you’ll gain valuable insights that you can then apply to your own projects. Please be sure to register today!