Three Days in Orlando: Key Takeaways from Gartner Data & Analytics Summit 2026

The Gartner Data & Analytics Summit wrapped up in Orlando this week: 4,000+ CDAOs, heads of AI, and data and analytics leaders gathered under the theme Value at AI Velocity: Navigating the Now and Next. And it was three days of exactly the kind of conversation the industry needs to be having.

To everyone who stopped by Booth #635, joined our boardroom session, came to dinner, or squeezed into Ragy’s talk on Tuesday: thank you. The energy was real, the questions were sharp, and the candor was refreshing.

If you couldn’t make it this year, here’s a glimpse of what you missed.

Ragy takes the stage

The highlight of our week was Tuesday’s session from UnifyApps Co-founder and Co-CEO Ragy Thomas: Translating AI to Real Business ROI. With AI investment accelerating and board patience thinning, Ragy addressed the question on every leader’s mind: why do 95% of enterprise AI pilots never reach production?

Ragy shared lessons from 200+ production AI agents across finance, HR, supply chain, sales, and IT. But what resonated most was the simplicity of the message—that sustainable ROI requires a foundation built for intelligence, not just transactions.

The conversation didn’t stop when the session ended.

Booth #635: Three days of nonstop dialogue

Our three demo stations were busy throughout the show. Attendees got hands-on with the Interactive MAAC—a catalog of production-ready agents across departments and industries—seeing firsthand how UnifyApps helps enterprises move from fragmented data and disconnected systems to governed, scalable AI workflows.

But the best part was that the visitors who stopped by the booth weren’t looking for generic AI inspiration. They were sharing what’s working, what’s stuck, and what’s quietly driving them crazy. We heard stories about pilot overload, integration fatigue, governance bottlenecks, and the very real pressure to show measurable ROI.

Our takeaway? Leaders are moving past experimentation and asking deeper architectural questions. The tone has shifted from “Should we?” to “How do we do this right?”

Then, at happy hour, we brought the fun. Our Jeopardy game—complete with Meta glasses as prizes—turned out to be one of the most-visited spots on the floor both evenings. Nothing like a little friendly competition to spark a real conversation about AI transformation!

Smaller rooms, bigger themes

Beyond the booth and the big stage, some of the most valuable moments happened in smaller rooms. UnifyApps hosted a CDAO Boardroom session on Monday, exploring how AI-nativity can help organizations overcome data silos and move beyond pilots at scale. That evening, we gathered a select group of CDAOs and CIOs for a private dinner—candid peer conversations about what’s actually working, what isn’t, and what it takes to build AI that sticks.

Around these tables, leaders compared notes on what it really takes to move beyond disconnected pilots. The themes were consistent:

• Scaling AI requires more than model access

• Data fragmentation remains the silent killer of AI initiatives

• Governance must be designed in, not bolted on later

It felt less like a vendor event and more like a peer exchange. Exactly what we hoped for.

The conversation continues

Across all three days, one thing was clear: the AI conversation is maturing.

Leaders are still excited—but they’re also pragmatic. They’re comparing architectures. They’re talking about governance in concrete terms. They’re looking for durable value, not novelty. And perhaps most importantly, they’re eager to learn from one another.

If we connected at the Summit, we’d love to keep the momentum going. And if you missed us—there’s plenty more ahead.

Follow UnifyApps on LinkedIn to see where we’re headed next!