A “chat with your data” tool can read column names. But does it know what your business means?
That’s why we built Matih.
In 45 seconds: ask a question → build a dashboard → get a forecast grounded in your business definitions, with assumptions shown.
Try it free. Link in the first reply 👇
@databricks This is where enterprise AI gets real: the answer is only useful if business meaning travels with the data. Context has to be governed and maintained, not reconstructed in every prompt.
The interesting shift in enterprise AI isn't another chat interface. It's the move from answering questions to completing an analysis: finding the right data, respecting permissions, showing the work, and producing something decision-ready.
The interface is getting simpler. The system underneath is getting much harder.
Nine days after the post-mortem, we still had not received the report.
We don't need assurances.
We don't need courtesy calls.
We need Results.
We respectfully request that the investigation, supporting evidence, and official records move before the court without avoidable delay—and that the victim's family receives timely, factual updates.
FIR 408/2026
5/6
@chanderkantNBT@FbdMirror@FaridabadLive@sardesairajdeep@anilvijminister
We have supporting documents:
• FIR No. 408/2026
• Vehicle video
• Newspaper coverage
A family has unexpectedly lost a husband, a father, a grandfather, and a friend.
We respectfully request three things:
1. A clear update on when FIR No. 408/2026 will next move before the court.
2. A public clarification from FMDA on whether the Smart City cameras at this location were operational on 27 August.
3. That all available evidence be placed before the court at the earliest so it can be validated that the right person responsible for this hit-and-run is being prosecuted.
Please repost.
Tag the authorities.
Tag senior officers.
Tag journalists.
Tag anyone who can help ensure accountability.
#Faridabad #HitAndRun #RoadSafety #SmartCity #JusticeForLaxmiNarayanJhawar
6/6
@fbdactiongroup@NHAI_Official@fbdcitizens
So here's the question:
Will the LLM itself become the intelligence layer?
Or will enterprises need a dedicated intelligence layer between their models and their data?
Curious where people land on this.