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What's driving the hype in 2025?
According to Gartner, AI governance and data observability are converging to define the next era of trusted, scalable analytics.
From ensuring AI ethics and model integrity to automating governance policies across the data lifecycle, leaders are rethinking how they build trust in every decision.
From ensuring AI ethics and model integrity to automating governance policies across the data lifecycle, leaders are rethinking how they build trust in every decision.
This year’s report highlights
- How AI governance safeguards models with version control, bias monitoring, and integration into MLOps.
- How to strategically drive business value through effective governance
- Why lineage, pipeline monitoring, and active metadata are no longer just a “nice to have”
- How to strategically drive business value through effective governance
- Why lineage, pipeline monitoring, and active metadata are no longer just a “nice to have”
Key report takeaways
- What data and AI leaders must prioritize in the next 12–24 months to meet ethical, security, and compliance demands.
- How to evolve your data governance models to align with business value
- How to evolve your data governance models to align with business value
This report is perfect for
- CDOs & CDAOs rethinking their governance stack
- Data leaders deploying genAI at scale
- Data leaders deploying genAI at scale
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