Machine learning is a dense and complex topic, and it’s important to distill it down to completely understand all of the opportunities available. This session will present an overview of machine learning, the governance around it, and how to move towards a decisioning process that could be fully automated.
•Discovering tools or frameworks there are for machine learning
•Determining whether you should bring this in-house to manage
•Reviewing the governance/operational/regulatory issues created by machine learning
•Distilling down the automated decisioning process with machine learning to your regulators (internally and externally) to make it less complex
•Leveraging these algorithms and their ability to make decisions FS companies can make better, automated decisions