Accelerating the Analytics Life Cycle with ModelOps

Every company wants to be data-driven and gain competitive advantages with analytics, machine learning, and artificial intelligence. However, while many organizations are experimenting with advanced analytics models, many struggle to deliver them into production. In this webcast, experts from SAS and IBM discuss how a ModelOps approach can accelerate data-driven decision making and drive higher financial returns.

You will learn about:

  • Where organizations struggle the most to get their analytics models into production.
  • The ModelOps concept and how it relates to the analytics life cycle.
  • Infrastructure and operational requirements for deploying models used in mission-critical applications.
  • Improving collaboration, including strategies for helping Dev and Ops teams align around building, deploying, and supporting applications.