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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

One meaning: initiatives that, as outlined above, have potential benefit but a high probability of failure. The other: structural risks — situations that might become real and would cause serious damage to the IT organization and its business collaborators if they do. In risk management terms it “prevents” (aka avoids) them.

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Gartner Explores Tech Innovations in Integrated Risk Management

John Wheeler

This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. This represents a great opportunity for organizations to utilize risk management technology (RiskTech) to bridge the gap between these seemingly disconnected transformation efforts.

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Insurance Dashboard Design: KPIs, Analytics & Examples

FineReport

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. The insurance dashboard is one of the most commonly used data display methods.

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Using Technology to Better Manage Risk in Insurance

Decision Management Solutions

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Let’s dive into greater detail on the second lever – Manage Risk Better.

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CIOs in financial services embrace gen AI — but with caution

CIO Business Intelligence

Generative AI is starting off a new age of exploration in IT,” says Frank Schmidt, CTO at insurance firm Gen Re. AI in a box CIOs are under pressure to deliver productivity improvements and reduce costs in financial services. As a result, many CEOs have high expectations of AI and its ability to transform their businesses.

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Top financial services trends of 2024

IBM Big Data Hub

What generative AI has done is open a new world of innovations that can help personalize financial planning and investment management. One example of this is in insurance. Learn more about hybrid cloud for financial services Trend: Cybersecurity risk management AI brings about more challenges, especially when it comes to cyber risks.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The solution should be scalable, cost-efficient, and straightforward to adopt and operate. Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization.