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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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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.

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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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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers. Keep learning.

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Ready to Test: Introducing the Collibra Adaptive Data and Analytics Governance Test Drive

Collibra

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The foundation of a data-driven organization. Data is more valuable than ever. The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. .

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What does the Data Office do? Inside Collibra’s Data Office

Collibra

Is it a rough ride from creating a data strategy to executing that data strategy? When does data truly mitigate risk, how does it effectively cut costs, and when does it undeniably boost the bottom line? Is the strategy aligned with existing objectives or are square pegs being fitted into round holes?

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Multi-Party Cyberattacks Lead to Big Losses: Security Researchers

eSecurity Planet

The attackers used the entry they gained into the companies to fan out into businesses and government agencies, stealing data and forcing some to have to temporarily shut down their operations, causing tens of millions of dollars in damages. But it still serves as a reminder of risk accumulation.

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