03. Talent and Tools

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Tools to work with big data are becoming more accessible, but users need to understand what they're doing. That's where learning and experience take analysis to the levels where discovery occurs.

 

05. The Strategic Value of Pre-Filling Data

The speed of AI and its ability to retrieve information quickly means its a great tool in easing the path for prospective insureds.

 

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.
 

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.

 

04. Don't Jump Into the Deep End

Start with a small project and solid data. Learn and build from there.
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