Data Breach Today
AUGUST 14, 2020
Ariel Weintraub on Putting Data to Work in the SOC and IAM Ariel Weintraub joined MassMutual last fall to focus on putting data science to work to help improve the insurance company's security operations and identity and access management programs. What are the early use cases and lessons learned?
The Guardian Data Protection
NOVEMBER 11, 2023
Observer investigation reveals UK Biobank opened its biomedical database to insurance firms despite pledge it would not do so Sensitive health information donated for medical research by half a million UK citizens has been shared with insurance companies despite a pledge that it would not be. Continue reading.
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eSecurity Planet
MAY 27, 2021
The explosion of ransomware and similar cyber incidents along with rising associated costs is convincing a growing number of insurance companies to raise the premiums on their cyber insurance policies or reduce coverage, moves that could further squeeze organizations under siege from hackers. Insurers Assessing Risks.
IBM Big Data Hub
MAY 8, 2023
In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Usage risk—inaccuracy The performance of an AI system heavily depends on the data from which it learns.
Collibra
APRIL 9, 2021
Recapping a discussion moderated by Stijn Christiaens and featuring insurance data experts from Deloitte UK . Insurance is a data-intensive business. Insurance companies need data to better assess risks and price policies competitively, but also profitably. Drivers for cloud adoption.
IBM Big Data Hub
OCTOBER 3, 2022
And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. An AI system, especially one with such an impact on healthcare, must be fair, explainable, secure and transparent.
Reltio
MAY 12, 2020
Well versed in speaking to business leaders, data innovators know how to secure leadership buy-in and investment by connecting the dots between data initiatives and business value. The data science and analytics team may need different customer profile attributes than the finance team.
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