Thursday, June 27
11:30 - 12:20 pm
SailPoint Masterclass: What’s AI got to do, got to do with it?
Great music does not spring out of nothingness —in the hands of a talented producer, trivial melodies become emotionally powerful works of art. Artificial intelligence and machine learning can play a similar role in identity. We’ll learn from Tina Turner*, Dr. Dre*, Sting*, and yes, even Taylor Swift* as we explore how machine learning can improve our approach to identity, building up a live-produced, original song as we go. As we construct the song, we’ll develop a machine learning use case for identity: use of the SIR (susceptible, infected, recovered) model for the spread of disease to predict the spread of entitlements and access within an identity population.
Along the way, we’ll describe different techniques available for machine learning and explore their strengths and weaknesses for application to identity use cases. In the past, there has been a danger in seeing every problem as solvable by AI. We'll sift through the marketing hype as we identify real-world scenarios where machine learning can be used today to improve the efficacy of ongoing identity programs.
*Note that neither Tina Turner, Dr. Dre, Sting, nor Taylor Swift will be in attendance. If this changes, this abstract will be updated.