‘The integration of Radar with Databricks gives a more efficient experience for insurers,’ says director
WTW has partnered with software firm Databricks to offer its insurance analytics and pricing platform, Radar, via a databricks integration.
The integration, called Radar Connector for Databricks, allows Radar users to access their insurance data directly from the Databricks Data Intelligence Platform, with the aim of simplifying firms’ data handling processes.
WTW explained that the new tool was aimed at “eliminating manual data movement, accelerating analysis and improving governance” and that such tasks can be designed to be “completed as part of automated processes”.
It also said that the new connector “offers a faster, smoother and more efficient solution. The total turnaround time for a data update can now be completed within minutes, resulting in a significant efficiency gain”.
The data stream will also be compatible with Databricks’ Unity Catalog, a centralised data catalogue that allows access, auditing and quality monitoring controls for data and artificial intelligence (AI) assets.
AI capabilities
According to Chris Halliday, senior director at WTW’s insurance consulting and technology practice, “the integration of Radar with Databricks gives a more efficient experience for insurers”.
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“Combining this with Radar’s existing capability to deploy Databricks machine learning models means Radar users can benefit from Databricks’ data and AI infrastructure capabilities,” he added.
Marcela Granados, global head of insurance at Databricks, added: “With Databricks, insurers can unify all their data – structured or unstructured – into a single, governed environment ready for Radar analysis.
“This integration turns that data into immediate, actionable insights by connecting Radar’s advanced pricing models directly to Databricks Agent Bricks with unified governance powered by Unity Catalog.
“The result is faster decisions, stronger compliance and the agility to innovate confidently in a highly regulated industry.”
He graduated in 2017 from the University of Manchester with a degree in Geology. He spent the first part of his career working in consulting and tech, spending time at Citibank as a data analyst, before working as an analytics engineer with clients in the retail, technology, manufacturing and financial services sectors.View full Profile
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