AI agents can’t reason over data they can’t reach. Orgs building AI on Microsoft Fabric often discover their data is scattered across dozens of systems.
CData Connect AI — the first managed MCP platform — connects AI to governed data across 350+ sources: https://bit.ly/47EuO1R
Visit Booth 303 👋
95% of generative AI pilots never reach production.
The problem isn’t the model.
It’s the data layer.
In a benchmark of 378 enterprise queries:
- CData Connect AI: 98.5% accuracy
- Others: 65–75%.
Production AI requires dependable execution.
Announcement: https://bit.ly/4b18d1O
Architecture matters. Now there's data to prove it. Get access to the full methodology, per-platform breakdowns, and failure pattern analysis: bit.ly/4daOy0E
What’s happening today at #GartnerDA:
11:15 — CData + @microsoft.com
AI Agents and the Future of Digital Work
Coastal 9 | SPS65
12:00 — CData Quiz Show at Booth 308
👋 Stop by and talk with the team about AI accuracy. Our latest research saw MCP accuracy range from 59% to 98.5%.
Right after our #GartnerDA session with Microsoft, we begin our final round of the #CData Quiz Show. Don't miss out!
⏰ Starts at 12pm at Booth 308
Hey, #GartnerDA: You may have missed us at MCO...
But don’t miss out on our session with @microsoft.com tomorrow, 3/11 at 11:15am in Coastal 9 (SPS65).
We’re sharing a blueprint for agent-ready enterprise design that includes connectivity, context, and control: https://gtnr.it/4l8yM8I
Live from #GarterDA.
We asked Jerod what he thinks about the conference — and our new brand.
Meet the CData team at Booth 308 and join our session with @microsoft.com
Mar 11 | 11:15–11:45 AM EDT
Coastal 9 | SPS65
More: gtnr.it/4l8yM8I
Building AI into your product? The model isn’t the hard part.
Connecting to customer data behind firewalls and on-prem systems is.
The latest Connect AI Embed release adds Gateway, global OAuth branding, embedded dashboards, and caching controls.
Full breakdown: https://bit.ly/4lubASw
Calling #GartnerDA attendees: Join us at Booth 308 for the #CData Quiz Show today this evening at the networking reception.
Learn more about CData Connect AI: bit.ly/4riEztJ
The CData team is at #GartnerDA.
Join us at Booth 308.
If you're onsite on 3/11, we’d also love to see you at our session with @microsoft.com - AI Agents and the Future of Digital Work: https://gtnr.it/4l8yM8I
🗓️ Wednesday, March 11 - 11:15 AM
Room Coastal 9 | SPS65
What should an MCP platform look like in production? Not a generic query layer. A governed tooling architecture where you control exactly what each AI agent can access + do.
This Connect AI release adds Custom Agent Tools, secure on-prem connectivity + built-in ID governance: https://bit.ly/47EuO1R
👀 Did you spot us at the Orland airport?
Let’s talk about it: https://bit.ly/4b18d1O
If you missed us yesterday, we’re live at #GartnerDA Booth 308 today, TUES 3/10 from 9:45 AM to 7:15 PM.
AI pilots are everywhere. Production AI? Still rare.
We benchmarked five MCP providers across 378 enterprise queries.
CData Connect AI achieved 98.5% accuracy.
Others ranged from 65–75%.
At that level, AI agents fail 1 in 4 actions.
Architecture determines accuracy: https://bit.ly/4b18d1O
Before the booth even opened, the team was already spotting CData around Orlando 👀
Now we’re live at #GartnerDA Booth 308 until 6:30p local time.
Stop by and say hello.
https://bit.ly/40R7KsX
We rebuilt the CData brand from the ground up.
Our old identity was built for a connectivity tools company in the early 2010s—lowercase wordmark people misread, another shade of B2B blue, a story from 2014.
But the company evolved.
Our Creative Director shares the story: https://bit.ly/40icwQb
We benchmarked 5 MCP providers across 378 real-world enterprise queries.
Accuracy ranged from 59% to 98.5%.
At 75% accuracy, 1 in 4 agent actions fails.
Across a 5-step workflow, <24% complete successfully.
The gap wasn’t the model. It was the architecture.
Full research: https://bit.ly/4daOy0E
AI is moving from pilots to production. That shift demands data infrastructure that is accurate, governed, and built for organizational use.
Today marks a new day for CData: https://bit.ly/40R7KsX
🟨 CData is the production-grade data layer for AI.
New brand. New platform release.
The gap between AI demos and AI in production is almost always a data problem: https://bit.ly/4daOy0E
We tested 5 MCP providers across 378 enterprise queries. CData Connect AI hit 98.5% accuracy. The next closest was in the 70s.
Connectivity. Context. Control.
Landing in Orlando for #GartnerDA?
👀 Keep an eye out on your way through the airport.
Spot CData.
Post it. Tag us.
Coffee’s waiting at Booth 308.
https://bit.ly/4riEztJ
Big travel day for #GartnerDA.
👀 MCO or I-4 — keep your eyes open.
Spot CData?
Post it. Tag us.
Coffee’s on us at Booth 308.
https://bit.ly/4riEztJ
Already seen a few travelers en route to #GartnerDA 👀
If you spot CData on your way in:
📸 Snap it
🏷 Tag us
☕ Show us at Booth 308.
Coffee’s on us.
https://bit.ly/4riEztJ
Heading to #GartnerDA?
👀 If you’re coming through MCO or driving in on I-4, keep your eyes open
You might spot CData.
📸 Post it
🏷 Tag us
☕ Show us at Booth 308
Coffee’s on us.
https://bit.ly/4riEztJ
AI initiatives rarely stall because the model underperforms.
They stall because implementation teams lose permission to move fast: https://bit.ly/4aVihI8
60% of high-maturity companies have advanced data infrastructure. 53% of low-maturity orgs are constrained by immature systems.
What if your forecasting prep was already finished before the meeting started?
Claude Cowork + Connect AI surface pipeline gaps, flag stalled deals, and handle CRM updates automatically: https://bit.ly/4aGaAWm
This isn’t another tool. It’s a shift in how sales teams operate.
AI agents move from pilot to production when architecture is ready.
At Gartner, CData + Microsoft will outline a blueprint for agent-ready enterprise systems — delivering connectivity, semantic context, and governance at scale: https://gtnr.it/4l8yM8I
Mar 11 | 11:15 AM
Coastal 9 | SPS65
Choosing an ETL tool for IBM Db2?
Look beyond basic data movement. Consider real-time capabilities, deployment flexibility, and long-term scalability.
Our latest guide compares leading options to help you decide: https://bit.ly/3Mmxxps
Two companies launch similar AI pilots. Both work.
Six months later, one is scaling across functions. The other is still negotiating production-grade data access.
AI initiatives stall when teams quietly lose permission to move fast: https://bit.ly/4aVihI8
Multi-agent AI introduces real architectural risk if security isn’t built in from the start.
How do you control identity, permissions, and data exposure in MCP-based systems?
We break down secure deployment best practices here: https://bit.ly/4qAQDGs
Building AI in Microsoft Fabric requires real-time, governed data in OneLake. CData connects 300+ enterprise sources with continuous replication, semantic intelligence, and enterprise-grade reliability.
See you at @microsoftfabsqlcon.bsky.social
👋 Visit us Booth 303
#FabCon #FABCONSQLCON26
CData has been named to Forbes’ list of America’s Best Startup Employers 2026.
The ranking recognizes employer reputation, employee satisfaction and company growth — at a time when enterprises are scaling AI and need trusted, real-time data connectivity.
Learn more: https://bit.ly/4laSH6Q
