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What the Digital Operational Resilience Act means for you

CIO Business Intelligence

The regulation requires EU financial entities and their critical ICT providers to adopt comprehensive information and communications technology (ICT) risk management capabilities into their security processes. While it’s an EU policy with ramifications for EU businesses, the impact will undoubtedly affect businesses worldwide.

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

CIO Business Intelligence

If this is a popular phrase in your company’s executive suite, risk-taking is a phantom virtue. To stay out of harm’s way, charter a few harmless initiatives — ones that aren’t likely to succeed, will pass the cool test if, in the off chance, they do happen to succeed, but won’t do much damage if they fail.

Risk 115
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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? , Insurers can also manage risk more effectively through continuous improvement.

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Selling the C-suite on preemptive IT investments

CIO Business Intelligence

Here are three strategies for getting it done. When this happens, corporate risk is heightened as preemptive projects get delayed — sometimes for indefinite periods of time. CIOs can change this thinking by incorporating preemptive projects like disaster recovery into their corporate risk management strategies.

ROI 122
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The complex patchwork of US AI regulation has already arrived

CIO Business Intelligence

Senate Bill 1047 , introduced in the California State Legislature in February, would require safety testing of AI products before they’re released, and would require AI developers to prevent others from creating derivative models of their products that are used to cause critical harms.

Risk 127
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Strong Business Continuity Management Brings Resilience

CIO Business Intelligence

Asking the right questions to understand the business’ strategy and implementing architecture that supports the technology of the future is fundamental. Understanding business requirements, from technology recovery requirements to data loss tolerance, enables a dynamic technology strategy that morphs with the changing needs of the business.

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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.