05. The Strategic Value of Pre-Filling Data - Webinar Highlights - Webinar Highlights: How Insurers Are Transforming Their Business through Data, Machine Learning and AI

09. Working Within Regulatory Constraints

Regulators have become increasingly interested in what data organizations collect and retain about individuals, how that data is protected and ultimately whether that data is used appropriately.

07. AI and ML Work with Moving Pictures, Not Snapshots

Time is often a missing element in data sets. It's helpful to know a certain metric, but it's even more valuable to know how that's changed over time, and the direction of change.

08. Data Rarely Comes Machine-Ready

In the ramp-up to utilizing artificial intelligence and machine learning, some make the mistake of assuming that all data is equal, and that all data is equally usable.

10. Getting Started With Data Analytics Is an Investment, Not an Expense

Venturing into artificial intelligence and machine learning means bringing in new skills and personnel, but ultimately it may be less costly than many large-scale technology projects.