Wednesday, May 29, 2019 at Webinar
Starts at 1:30 PM · Ends at 2:30 PM, EDT (America/New_York)
As cybercriminals continue to ply their trade, machine learning has become an essential technology to enable systems to learn, adapt, and uncover emerging fraud patterns quickly. As debates swirl about the merits of machine learning models for fraud detection and which one works best, how can security practitioners cut through the hype?
On Wednesday, May 29, join RSA and BankInfo Security for a conversation about the benefits and pitfalls of machine learning for fraud detection. Joined by experts on machine learning and data science, this webinar will cover:
- Misconceptions about machine learning models
- The risks of building your own model
- How to optimize machine learning for fraud detection
- Top questions to ask your solution provider