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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

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6 best practices to develop a corporate use policy for generative AI

CIO Business Intelligence

Involving IT and innovation groups can help show that the policy isn’t just a clamp-down from a risk management perspective, but a balanced set of recommendations that seek to maximize productive use and business benefit while at the same time manage business risk.

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What to Do When AI Fails

O'Reilly on Data

Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy. NIST’s Computer Security Incident Handling Guide which, while not tailored to the risks of AI specifically, provides one good starting point.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Risk Management and Regulatory Compliance. Risk management, specifically around regulatory compliance, is an important use case to demonstrate the true value of data governance.

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Applying cyber resilience to DORA solutions

IBM Big Data Hub

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector.

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

CIO Business Intelligence

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We Today, SAP has dozens of different gen AI tools, hosted in a company-wide platform, that allow employees to create content, graphics, and more. We did side-by-side testing,” he says.

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