Promethium enables enterprises to get accurate insights by “talking” to all their business data. Go beyond BI with our AI Insights Fabric. Gartner Cool Vendor.
The agent runs. The answer renders. The number looks plausible. And nothing tells you whether to act on it.
That's the gap Mantra's Trust Harness is built to close.
→ https://t.co/nfQGlNpTSg
1 in 7 agentic AI programs reach sustained production.
Three studies. Three methodologies. One number.
What the 1 in 7 do differently →
https://t.co/nbhDtlce5Y
Where does your D&A team's AI budget flow — and is it the highest-ROI bet?
New data from 500+ CDAOs says it isn't code generation but analytics.
→ https://t.co/cIHEcgDzlX
"AI-ready data means three things: the right data, the right context, and a clear read on user intent."
Miss one and the agent guesses.
That's what Mantra is built for.
→ https://t.co/aaANtljhgO
"My favorite employees now? It's Grok, Gamma, and Base 44."
— Andrew Clyne (CDO at Comcast, Visa, Expedia, CenturyLink) on the new generation of "team members" in his stack.
On The AI Data Fabric Show: https://t.co/p4qF8xhEh3
"The pilot worked. Six months later, it still only works on the fifteen questions it was built for."
Every operator has been here.
New playbook: 5 failure modes, context-readiness audit, reference architecture, launch-ready checklist.
→ https://t.co/SFD6TRvfh5
Where's your D&A team spending its AI budget?
For most: code generation pilots. Clean demo, easy ROI story.
Gartner CDAO Survey 2026: AI for analytics delivers 42% business-value lift. Code gen only 27%.
→ https://t.co/phzNf5xj47
Designing agentic analytics? Two decisions you can't conflate:
Maturity dimensions (domain scope, system scope, use-case complexity).
Design choices (autonomy, action scope, interaction mode) .
Most teams treat them as one. The pilot doesn't survive it.
→ https://t.co/Gx4f6NaaaG
New BARC Spotlight from Kevin Petrie: the "agentic analytics fabric" lets analytics agents reach distributed data live and activate the metadata that gives them context.
47% of orgs have AI data in multiple physical locations. The fabric is built for that. https://t.co/ErlSFmoj51
At Gartner D&A EMEA last week, we got the same question on repeat:
Context graph vs. knowledge graph vs. data catalog vs. semantic layer — what's the difference, and why does AI need any of them?
We wrote the breakdown.
→ https://t.co/VRrw0P68hJ
New on The AI Data Fabric Show: Prat Moghe with Andrew Clyne — serial CDO (Comcast, Visa, Expedia, CenturyLink).
His take: the CDO role has permanently shifted from protecting the bottom line to driving top-line growth.
Prat's takeaways: https://t.co/7DGxHDthOI
What's the highest-ROI area for CDAO investment?
New Gartner CDAO Agenda Survey 2026: analytics use cases deliver the highest ROI — and have the lowest enterprise penetration.
+42% lift, vs. 27% for code generation, where most teams are spending today.
→ https://t.co/ocSo1VTgTP
"Cars have brakes in order that you can go fast."
Kjersten Moody (3x CDO — Unilever, State Farm, Prudential) on why governance isn't friction. It's the frame that lets teams move without asking permission.
→ https://t.co/y7rtyfakJZ
Plug Claude into your enterprise. Ask a real question.
It can't get it right.
Data is distributed. Context is fragmented. Intent is inferred. Claude can't solve any of those.
Mantra can.
50% of enterprises have AI agents in production. Only 27% use them for analytics.
That gap is the whole story.
5 takeaways from our panel with Kevin Petrie (BARC): context engineering, scattered metadata, embedded governance, rewiring the stack.
→ https://t.co/4gjiZxIAmn
The agents are in your enterprise. The accuracy isn't.
It's not a model gap — it's architectural.
AI-ready data = right data + right context + right intent. Mantra wires all three for any agent.
→ https://t.co/4v0gFWHxKD
Last call — Gartner D&A EMEA next week, London.
A few meeting slots still open at booth 814. Theater session Mon @ 17:35: "Wire Your Agentic Enterprise with AI-Ready Data for Trusted Insights."
→ https://t.co/FvxNHpU7Wv
What was our revenue last quarter?"
Sounds simple. It isn't.
Different systems. Fiscal vs. calendar. Bookings vs. recognized vs. ARR. The AI doesn't know — so it picks a table and returns a number that looks right but isn't.
Better AI = better context.
→ https://t.co/xOrMC4py87
Two different decisions get conflated in every agentic analytics conversation:
Maturity = how far you've grown (data, use cases, domains)
Architecture = how you've designed (autonomy, action, interaction)
More autonomous ≠ more mature.
Full framework: https://t.co/GFG2WIU4pe