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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. An example of this is an engineer who had inserted a backfill process into production data that was not QA’ed (which as well all know happens). This impacted machine learning algorithms and dashboards used for real-time decision making.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. An example of this is an engineer who had inserted a backfill process into production data that was not QA’ed (which as well all know happens). This impacted machine learning algorithms and dashboards used for real-time decision making.

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Better Data, Better Underwriting: Simplify underwriting with better data

Precisely

Advanced data analytics enable insurance carriers to evaluate risk at a far more granular level than ever before, but big data can only deliver real business value when carriers ensure data integrity. For P&C insurance, that starts with having accurate and precise information as to the location of an insured property.