Remove Cost-Benefit Remove Insurance Remove Risk Management Remove Strategy
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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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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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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.

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3 areas where gen AI improves productivity — until its limits are exceeded

CIO Business Intelligence

But the biggest benefit was to new and lower-skilled workers, who saw a 34% improvement. In February, McKinsey released the results of a survey showing that 84% of telcos using gen AI for customer services were seeing cost savings, and 45% of them reduced costs by 6% or more. But that was for tasks that the AI was good at.

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Digital Risk “Techquilibrium” Requires IRM

John Wheeler

A common theme is the need for greater risk quantification beyond the realm of traditional, qualitative governance, risk and compliance (GRC) approaches. Digital Risk Management – Gartner. These plans help inform the decision to purchase cyber insurance and determine the amount of coverage needed.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Invest in data hygiene and collection strategies to keep your engine running smoothly. Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. Garbage in, garbage out.