Data science Insurance Security Strategy 
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.
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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. Data governance holds key to cloud migration.
IBM Big Data Hub
FEBRUARY 13, 2024
Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success. Invest in data hygiene and collection strategies to keep your engine running smoothly. Garbage in, garbage out.
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.
eSecurity Planet
OCTOBER 21, 2021
They took advantage of the weaknesses inherent in an increasingly connected world and highlighted the need for companies to not only ensure their own security but also look at the security of their vendors and put into place necessary protections. See also: The Software Supply Chain: Where Security Starts. Collateral Damage.
Collibra
MARCH 4, 2020
Only a decade ago, barely a dozen large corporations had a Chief Data Officer; today, by most accounts, that number has passed 10,000 worldwide. . Their initial role had a lot to with ensuring compliance and securing all data assets. Is it a rough ride from creating a data strategy to executing that data strategy?
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