CIO Business Intelligence
MARCH 4, 2024
In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.
AWS Big Data
JUNE 26, 2023
Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance. Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job.
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O'Reilly on Data
OCTOBER 11, 2022
So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Some of these tasks have been automated, but many aren’t.
AWS Big Data
JUNE 6, 2023
The following table lists the rules that are supported by AWS Glue Data Quality as of writing. For an up-to-date list, refer to Data Quality Definition Language (DQDL). Rule Type Description AggregateMatch Checks if two datasets match by comparing summary metrics like total sales amount.
AWS Big Data
MARCH 14, 2024
The unwavering reliability of Kafka aligns with our commitment to data integrity. The integration of Ruby services with Kafka is streamlined through the Karafka library, acting as a higher-level wrapper. Dynamic partitioning and consistent ordering ensure efficient message organization.
CIO Business Intelligence
APRIL 29, 2022
Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.
Birst BI
OCTOBER 30, 2018
Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. Identify the metric you want to influence through predictive analytics. What business metric determines the success of your organization?
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