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Newly Proposed SEC Cybersecurity Risk Management and Governance Rules and Amendments for Public Companies

Data Matters

Securities and Exchange Commission (SEC) proposed new cybersecurity rules to enhance and standardize disclosures regarding cybersecurity risk management, strategy, governance, and incident reporting by public companies. The proposed rules includes a nonexclusive list of cybersecurity events that may require disclosure, such as.

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How to Build a Metadata Plan in Five Steps

AIIM

In addition to helping organize and classify content, Metadata enables good findability, can trigger workflow and transactional processes, reveals document usage patterns and history, and helps establish retention and disposition events. How do I develop a Metadata strategy? Metadata can consist of many types of data.

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Top five metadata management best practices

Collibra

The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. Metadata is data in the context of “who, what, where, why, when, and how.” processing and accessing of data) or manually created.

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Metadata management best practices

Collibra

The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. Metadata is data in the context of “who, what, where, why, when, and how.” processing and accessing of data) or manually created.

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SEC Proposes Cybersecurity Rules for Public Companies

Hunton Privacy

If adopted, the new rules would impose substantial new reporting obligations with respect to material cybersecurity incidents and cybersecurity risk management, strategy, and governance for both domestic and foreign private issuers subject to the reporting requirements under the Securities Exchange Act of 1934.

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The most valuable AI use cases for business

IBM Big Data Hub

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. Generative AI can produce high-quality text, images and other content based on the data used for training.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Some, like Goertzel and Pennachin , suggest that AGI would possess self-understanding and self-control.