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The Future of Information Governance: Trends Shaping 2025 and Beyond 

Gimmal

In the rapidly evolving digital landscape, information governance has become more critical than ever. As we approach 2025, organizations face new challenges and opportunities in managing, securing, and extracting value from their data. Improve Decision-Making: AI-driven analytics provide deeper insights into data trends and patterns.

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2025 Timeline for CMMC 2.0 Compliance

Daymark

CMMC Rulemaking Timeline The rulemaking process illustrated in the graphic below shows a high-level workflow from the Government Accountability Office (GAO). Nearing 4 years in the making and getting closer to being finalized, companies are wondering what is next. What is the target date for the new rule? Figure 1: GAO Federal Rulemaking

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UK Government Proposes IoT Security Measures

Data Breach Today

Rules Would Strengthen Password Protection and Vulnerability Reporting With the number of installed internet of things devices expected to surpass 75 billion by 2025, the U.K.

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Collibra AI Governance and de-risking unstructured data at Ohalo

Collibra

But as most businesses recognize, innovation is nothing without the right governance to ensure that risks don’t get out of hand. AI governance is about increasing business value while retaining control As AI continues to permeate the fabric of life and work worldwide, so too does AI-based risk increase. AI governance gets harder.

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AI model governance: What it is and why it’s important

Collibra

And more than 50% of CIOs expect AI use to be widespread or critical in their organization by 2025. That’s why AI governance is crucial in mitigating risks and ensuring your AI initiatives are transparent, ethical and trustworthy. Historically, data governance catered to conventional databases and structured data systems.

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AI governance: What it is, why you need it, and why it’s essential for your AI initiatives

Collibra

72% of companies say that data is the biggest challenge to achieving AI goals between now and 2025. Businesses everywhere are seeking ways to leverage LLMs as fast as governments are talking about ways to regulate them. What you need is a governance model for AI. You need AI governance. So what is AI governance?

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AI Governance: Solving the data-centric versus model-centric debate

Collibra

They say, “Bob or Mary is ensuring good data management with governance, quality, lineage. We’ve covered the real risks — legal, financial, reputational — when generative AI goes wrong in our inaugural AI Governance blog. What you need is a governance model for AI. You need AI governance. Data is their responsibility.”