Ignite Team Success: Bring Your Team to Gartner Data & Analytics Summit

It's Time to Transform, Together

Experience the power of collective learning and strategic alignment at Gartner Data & Analytics Summit. Hear from our attendees on the value they get out of attending with their teams.

This year, bring your team to spark fresh ideas, tackle challenges together, and return energized with a shared vision to drive your organization forward. 

Explore how to get the most out of your on-site experience as a team

  • Who Should Attend?
  • Why Attend as a Team?
  • Recommended Team Agenda
Who Should Attend?
  • Chief Data & Analytics Officer (CDAO): Lead transformation, align IT strategy with business goals, and empower your team to drive innovation and growth.
  • Head of Data & Analytics (D&A): Get practical guidance for building and scaling AI, generative AI, and AI agents.
  • Data Management Leader: Discover the latest trends, tackle emerging risks, and strengthen your MDM strategy.
  • Data Science/Machine Learning Leader: Harness the power of data science and machine learning  to build a future-ready, data-driven culture.
  • Data & Analytics Governance Leader: Explore frameworks and best practices on risk, privacy, ethics, and building a culture of trust and accountability.
  • Business Intelligence/Analytics Leader: Explore the new technologies that are making an impact in analytics tools, platforms and solutions.
Why Attend as a Team?
  • Amplify Learning: Divide sessions and maximize coverage; each leader gains insights tailored to their specialty.
  • Strategize Together: Collaborate on challenges, share fresh perspectives, and build a unified vision for your organization’s future.
  • Explore Solutions: Evaluate exhibitors and providers as a team, ensuring every angle is considered and every decision is informed.
  • Network and Connect: Meet industry experts and peers, validate your strategies, and return with actionable ideas.
  • Strengthen Alignment: Forge deeper relationships and drive your I&O strategy forward with a united leadership team.

We've outlined recommended sessions for every member of your infrastructure and operations teams. 
  • Designing the Future Ready Data Analytics Organization for Agility and Consistency
  • Welcoming AI Agents to the D&A Team: Adapting Your Operating Model With Insights From 3 Real Cases
  • Accelerating First-Year Success as a CDAO: Strategies for Executive and Functional Leadership Impact
  • Foundations of D&A Strategy: Shortcuts for CDAOs
     

  • How to Design the AI Organization 
  • Ask the Expert: Future of Generative AI
  • Ask the Expert: Essential Steps to Craft a Successful AI Strategy
  • What Is the AI Leader's Role in an AI-First Enterprise?

  • What Keeps Data Management Leaders Up at Night in 2026?
  • From Silos to Synergy: Why Data Management Platforms Are the Future
  • 10 Steps to Build a Data Fabric Architecture for Data Management and AI Use Cases
  • Workshop: Data Product Management: From Concept to Launch
     

• How to Explain AI and ML Models to Your Stakeholders
• MQ Power Session: Analytics and BI and Data Science and Machine Learning Platforms
 

  • 5 Things That Cause Sleepless Nights for Heads of Governance
  • Practical Data Governance in 7 Easy Steps
  • The Future of D&A Governance
  • Ask the Expert: Identifying and Mitigating Risks in Data, Analytics & AI
     
  • How to Govern Self-Service Analytics
  • Unlock Agentic Analytics With MCP and Knowledge Graphs
  • Activating AI Agents in Analytics and BI Platforms
  • Ask the Expert: Should We Move to Microsoft Fabric for Analytics?
     

“Our teams are dividing and conquering, trying to attend as many sessions as we can to build up knowledge .”

Nicole Scribner

Head of Data Management, Vanguard