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Cyber Insurers Pull Back Amid Increase in Cyber Attacks, Costs

eSecurity Planet

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.

Insurance 126
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The risks and limitations of AI in insurance

IBM Big Data Hub

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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Delivering business value for insurance companies

Collibra

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.

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MassMutual boosts U of Vermont data science with $5 million program

Information Management Resources

The initiative, which will kick off in 2019, continues the life insurer's strategy of engaging the academic community to build a data talent pipeline.

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Ping An casts a long digital shadow over Asia's insurers

Information Management Resources

The insurer's strategy has been to incubate tech businesses and then spin them off, while incorporating the technology in its main operations.

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Insurance CFOs seek larger digital role

Information Management Resources

Leaders of the finance organizations want to be leaders in developing data and digital strategy, according to Accenture survey.

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Generative AI use cases for the enterprise

IBM Big Data Hub

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.