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

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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.

 

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.

 

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.

 

02. Digging Deeper on Machine Learning

Machine learning can be as varied as the data itself, from text to image analytics to a widening array of sensor based data. The good news is that tools are advancing rapidly, and many are open sourced.
 

03. Talent and Tools

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.
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