Insurance is a heavily regulated sector that deals with large amounts of sensitive customer information as a core component of the business. As the industry evolves, being driven by data analytics is key to gaining a competitive edge. Data democratization, of course, comes with privacy challenges.
Watch as Privitar Privacy Engineer, Kish Galappatti and AON Insurance Data Protection Officer, Rodrigo Fronseca, discuss how to use data privacy to drive innovation by building automated data pipelines that are privacy-enabled, by design.
You’ll learn how to:
Enable your data science teams to quickly find, classify and access safe data that delivers analytical value while preserving the privacy of your customers
Leverage modern analytical environments and techniques to generate insights based on AI/ML models·
Automate the distribution and management of safe data sets within your organization to enable data analytics at scale