According to an O’Reilly study on AI adoption in the enterprise, 19 percent of respondents said they work for companies that plan to spend at least 20 percent of their IT budgets on AI. The interest in AI and machine learning technologies has never been greater. But what exactly is automated machine learning?

In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.

On this webinar, Seph Mard, Head of Model Risk Management at DataRobot and Peter Simon, Financial Markets Practice Data Scientist at DataRobot will present the cornerstones of effective modern model risk management in the age of AI and machine learning.

This webinar will help listeners understand both the opportunities and limits of AI for decision making. It will underscore the importance of applying appropriate governance and controls to analytic models and use cases.