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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Gartner’s Data & Analytics Summit 2025 was held in Orlando, Florida, from March 3–5, 2025. Its central challenge for data, analytics and AI leaders was how to move beyond experimentation: scale the work that helps organizations make better decisions, demonstrate business value and build trust in the data and AI behind it.
What was Gartner Data & Analytics Summit 2025?
It was Gartner’s conference for leaders and practitioners working in data, analytics, business intelligence and AI. Gartner announced five program tracks: leadership, AI, analytics, data management and governance. The intended audience included chief data and analytics officers (CDAOs), data, analytics and AI leaders, BI leaders, data-management infrastructure managers, chief data officers, chief analytics officers and architects. Gartner’s January 2025 announcement described the Orlando program as planned to include more than 58 Gartner experts, 87 research-driven sessions and 138 technology and service providers in its Exhibit Showcase. Those are announced figures for the 2025 event, not current or independently verified attendance counts.
What was the conference’s main message?
The program focused on turning data and AI activity into execution and organizational value. That meant continuing to experiment, while identifying successful initiatives that could be scaled and explaining how they contribute to business goals. The opening keynote, “Scale Data and Analytics on Your AI Journeys,” was presented by Gartner VP Analysts Gareth Herschel and Carlie Idoine. Gartner’s March 3 conference coverage described its emphasis as scaling data and analytics work for AI.
Connect data problems to business outcomes
A session on analytics and AI challenges, led by Gartner VP Analyst Kurt Schlegel, urged leaders to identify what obstructs data-driven decisions and trace the effects to business outcomes. Its guidance was to “Tie data pain points and opportunities to organizational goals by pinpointing what is inhibiting data-driven decision making and determining its downstream impact on business outcomes.” In practice, this calls for linking a technical issue—such as incomplete, inaccessible or unreliable data—to a specific decision or organizational goal, rather than treating data quality as an isolated IT concern.
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Make trust and accountability fit the use case
Gartner’s 2025 takeaways emphasized establishing trust models suited to context and assigning responsibilities across business and IT. The implication is that trust is not just a general promise about data or AI: teams need to determine what assurance a particular decision requires, who is responsible for the underlying information and system, and how the work relates to organizational priorities and metrics.
Why did Gartner emphasize value and data challenges?
Gartner’s conference coverage reported that 49% of organizations said demonstrating AI’s value was a top barrier, and that over half of organizations had issues with their data. These are figures Gartner reported in its March 2025 event coverage; they are not presented here as updated measurements. Together, they help explain the summit’s focus: organizations may be investing in AI, but showing its contribution and resolving data obstacles remain practical challenges.
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Gartner VP Analyst Gareth Herschel described the broader pressure in the March 5, 2025 trend announcement: “D&A is going from the domain of the few, to ubiquity,” while leaders face pressure “not to do more with less, but to do a lot more with a lot more.” The quote captures the widening reach of data and analytics work, alongside rising expectations for the teams responsible for it. Gartner’s 2025 trends announcement also highlighted the need to consider ethics, legal requirements and compliance in decision automation.
What did Gartner say about decision intelligence?
Decision intelligence was another prominent theme. Gartner highlighted a session led by Distinguished VP Analyst and Chief of Research Erick Brethenoux on the topic, alongside a broader shift toward decision-centric work: evaluating practices and platforms that can improve or automate decisions, rather than focusing only on data and analytics outputs.
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Gartner’s March 2025 conference coverage forecast that, by 2026, 75% of global enterprises would apply decision intelligence, making augmented and automated decision-making a competitive differentiator. This is a forecast Gartner made in 2025, not confirmation of a measured 2026 outcome. For organizations considering such systems, the event’s emphasis on context-appropriate trust and ethics, legal and compliance issues is especially relevant when decisions affect people or carry significant business consequences.
What should leaders take away from the 2025 program?
- Start with a mission-critical priority. Select a business problem or decision that matters, rather than scaling an AI initiative solely because it is technically promising.
- Show the link to goals and metrics. State how the data or AI work is expected to affect an organizational objective, and identify how that effect will be assessed.
- Trace data pain to decision impact. Identify what prevents data-driven decisions and connect that obstacle to its downstream business consequences.
- Set trust requirements for the context. Decide what reliability, oversight and assurance the intended use needs; do not assume one trust model suits every application.
- Share responsibility across business and IT. Clarify who owns the business outcome and who is accountable for the data, analytics or AI systems supporting it.
- Review automation risks. Include ethics, legal and compliance considerations when evaluating decision-intelligence tools or automated decisions.
These points reflect Gartner’s perspective in its 2025 conference and trend coverage; they are not a guarantee that a particular approach will produce results in every organization.
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Is Gartner Data & Analytics Summit 2025 still upcoming?
No. The Orlando event took place March 3–5, 2025, so its registration is not a current attendance option. Gartner provides an exhibiting opportunities page for Data & Analytics for providers interested in exhibiting or sponsorship opportunities; schedules and availability may change.
Quick Recap
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Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
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