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Claims Processing with Generative AI: Making Sense of the Data

Precisely

Turnover has been relatively high in recent years, leading to an influx of newcomers with little or no experience in claims management. AI technology can ingest and synthesize large volumes of both structured and unstructured data very quickly, offering claims guidance that helps adjusters to better assess cases.

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How to Combat the Lack of Standardization in Snowflake

phData

Conversely, without consistent naming conventions for objects in Snowflake , it becomes challenging for newcomers to understand the logic and locate specific items without relying on the tribal knowledge of more experienced team members. This is because not only do you need to test your schema/structures, but you have to test the actual data.

SQL 52
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Data Mesh Architecture and the Data Catalog

Alation

Signals around the quality and integrity of the data are essential if people are to understand and trust it. Data provenance and lineage, for example, clarify an asset’s origin and past usages, important details for a newcomer to understand and trust that asset.