No matter how great an AI solution is, the technology has little value if it works with substandard data. (Credit: DC Studio/Adobe Stock)
In our day-to-day lives, there's no shortage of data flow in the insurance value chain. In many ways, obtaining data on just about anything is the easy part. The hard part? Maintaining, organizing, and governing data so that any analysis gives confident results and is as accurate as possible. If the information captured is incorrect, inconsistent, or incomplete, the data is of no value for any use cases.
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