Data quality debt builds over time. OvalEdge helps uncover legacy issues and monitor for new ones, so teams can fix what’s broken and prevent more debt from building.
Discover more: https://t.co/cj54iO3u5H
#DataQuality#DataGovernance
AI doesn’t create every governance problem. It can make familiar ones far more costly.
A stale metric can move from one bad report to many workflows and decisions.
See why: https://t.co/swJ1WB2hix
#DataGovernance#AgenticAI
A semantic layer can standardize a metric. A catalog can govern the asset. Neither one alone gives AI enough context.
Trust requires the right signals to come together.
Explore: https://t.co/szNDndnGc6
#DataGovernance#EnterpriseAI
AI is expanding who and what can access enterprise data. OvalEdge helps extend privacy across human and AI access with sensitive data detection, lineage, and access controls.
Learn more: https://t.co/tNRNB5b7hH
#DataPrivacy#AIGovernance
Enterprise AI keeps making connection easier. But the easier data is to reach, the more important it is to know what deserves to be trusted.
Better plumbing doesn’t replace governed ground.
#DataGovernance#AgenticAI
AI agents are changing what data governance has to do.
Governance can’t depend on a person leaving the workflow to check a definition, source, or access rule. That context needs to be available when the metric is used.
#DataGovernance#AgenticAI
When a new analyst joins, you don't just give them database access.
You onboard them. Most organizations never do the same for #AI.
That's not a model failure.
Data access makes an answer possible.
#GovernedContext makes it defensible.
Learn more: https://t.co/pzn4JAevNv
You need a number. Someone built this report 6 months ago. You spend 2 days tracking it down, then rebuild it anyway because the source is unknown.
That's a context problem. Our Enterprise Context Graph fixes it.
Less rebuilding. More answering.
👉 https://t.co/YOJzwrfQgY
Governance teams built the foundation AI needs. The problem? Nobody told the #AI agent. The catalog, glossary, lineage, and policies exist. But if an AI agent can't reach governed context, it doesn't pause and ask. It answers from whatever it finds.
#DataGovernance#EnterpriseAI
Same AI. Same data. Wildly different outcomes.
The difference?
Context.
It’s the layer that turns data into decisions.
Without it, AI scales mistakes. With it, it scales impact.
#AI#DataAnalytics#AskEdgi#OvalEdge
If your analytics isn’t driving action, it’s not done.
And for most organizations, it isn’t.
#AgenticAnalytics pushes beyond insight.
All within governed boundaries:
#AI recommends
Humans decide
Systems execute
That’s the real shift. Better outcomes.
https://t.co/jSIwZJS5cl
Last week, we celebrated India’s #IndependenceDay with an event full of color, energy, and team spirit. 🇮🇳
The festivities included a food fiesta, patriotic Antakshari, a dance-filled twist on musical chairs, and an employee talent show.
Thank you to everyone who participated!
The old problem was human discovery.
The new problem is agent-safe consumption.
MCP servers may become the interface.
But the governed context will decide whether agents can safely act.
https://t.co/XOcfDNuoGl
#DataGovernance#MCPServer#OvalEdge#AgenticDataGovernance#AI
#DataLineage should do more than show where data has been. It should help teams understand how data moves, changes, and impacts downstream assets.
Swipe through to see how OvalEdge tracks, builds, and maintains data lineage.
https://t.co/1JLi1C9Mpg
#DataGovernance#OvalEdge
#AI does not reduce the need for #DataGovernance.
When an AI system uses untrusted data, the risk can become hard to contain.
The answer is not another multi-year governance program.
It is narrowing the first scope.
Read more: https://t.co/GvR7fIYWSy
Many #ContextEngineering conversations begin with the technology.
But there's a more important question to answer:
What information asset is the agent trying to understand or act upon?
Don't start with the architecture.
Start with the agent, the task, and the information asset.
Finding data is only useful when teams can also understand it.
The OvalEdge #DataCatalog brings metadata, business context, lineage, ownership, policies, and collaboration into one searchable platform.
Search smarter. Act confidently.
Explore #OvalEdge: https://t.co/1HtoVKiz4E
Some actions shouldn't be possible for #AI agents to do.
View order, check delivery, issue a standard refund? Help away.
Close the account? Not available.
Autonomy works best when it knows exactly where the #AIWorkflow ends.
Explore more: https://t.co/BEns66p4yy
Enterprise #DataGovernance was originally designed for human users.
AI does not replace governance. It changes the consumer of governance.
For data-centric #AIAgents, #ContextEngineering is data governance becoming operational.
Discover the shift: https://t.co/eYKotQixUS
"What context did you use?"
Most enterprises can't answer that about their #AI agents.
Access to data doesn't mean trust in data. Agents need to know what is current, approved, and certified.
It's the difference between an agent that sounds right and one that is right.