The importance of using analytics, machine learning, and artificial intelligence to make better and faster data-driven decisions has never been more apparent given the current global health crisis.

However, while many organizations are experimenting with advanced analytics models, many struggle to deliver them into production.

In this webcast, experts from SAS, IBM Power Systems and StarCIO discuss how a ModelOps approach can move analytics models from the lab through validation, testing and production as quickly as possible to accelerate data-driven decision making.