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.

 

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.

 

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.

 

06. Valuable Tools But No Magic Ponies Here

Estimates of the transformative power of artificial intelligence and machine learning are running high, likely higher than most organizations' ability to harness the technologies.

 

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.

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