Catch the highlights, sessions and insights from Gartner Data & Analytics Summit 2026.
Value at AI Velocity: Navigating the Now and Next
IBM was proud to sponsor the Gartner Data & Analytics Summit 2026 at the Gaylord Palms Resort in Orlando. The event brought together data, analytics and AI leaders to explore how organizations can accelerate AI adoption while maintaining trusted governance and scalable data foundations.
At the event, IBM experts shared perspectives on:
- Preparing enterprise data for AI agents
- Governing AI at scale
- Unifying structured and unstructured data
- Accelerating value from AI initiatives
Agenda
- 09 March
- 10 March
Although many organizations have moved beyond AI experimentation, scaling AI across the enterprise remains elusive. Pilots show promise, but agents often struggle to work reliably across fragmented data, systems and workflows when deployed within the enterprise.
In this session, we’ll focus on the practical barriers you face when trying to turn early AI success into sustained business impact. Let’s explore proven patterns for scaling trusted AI across hybrid environments by using AI-ready data to orchestration and governance, while maintaining control, transparency and measurable outcomes.
Room: Osceola 2
Copilots are easy to deploy, but hard to scale. Enterprises often find that copilots remain disconnected from the data, systems and workflows where real work happens.
In this session, we’ll compare isolated copilots with orchestrated AI agents built for enterprise complexity. We’ll explore how orchestration, visibility and governance help AI move from one-off interactions to coordinated systems of work. You’ll leave with a clearer understanding of why some AI initiatives stall, while others deliver lasting productivity gains.
Room: Theater 3
AI agents can unlock real productivity gains but scaling them across your enterprise brings difficult tradeoffs into focus. Questions around risk, accountability, cost and return on investment become more complex once AI moves into core operations.
In this closed-door roundtable, you’ll join peers for a candid discussion about what it really takes to scale AI agents in regulated, complex environments.
The conversation will explore operating models, governance choices and platform decisions that shape long-term success. You’ll leave with practical peer insights to help scale AI agents while preserving trust, control and business value.
Room: Naples 1
As AI agents take on more responsibility in the enterprise, many are confronting a hard truth: AI is only as reliable as the data behind it. That data is often distributed, inconsistently governed and difficult to interpret, making it risky for AI agents to operate with confidence and context—and that gap is where AI initiatives stall.
This session will explore a practical framework to power reliable AI agents with context-rich, AI-ready data.
Room: Osceola 2
Governance is often viewed as a constraint on AI innovation, especially when speed is a priority. But in practice, many organizations find that weak governance is what prevents AI from scaling.
This session reframes governance as a critical accelerator for agent adoption, especially in regulated and high-risk environments. Let’s understand how embedding governance, security and lineage across data, models and agents reduces risk while enabling better adoption, increasing speed and boosting confidence.
Join us as we decode why enterprises that lead with trust are better positioned to scale AI without constant course correction.
Room: Theater 2
Every experience at Think 2026 in Boston is designed to help leaders build a smarter business to take the agentic leap.