Attend Gartner Data & Analytics Summit as a team to unlock group discounts

From analysts to executives: Explore sessions for every role

It can be challenging to get your data ready for AI, scale it across systems and enhance your analytics capabilities. These challenges can impede your ability to fully harness the true power of data and AI. 

Attending the conference as a team can help you break down silos, enhance collaboration, and gain insights into the latest trends in data management, analytics and AI innovations, ensuring everyone aligns with industry best practices for smarter decision making.

Benefits of attending as a team:

Divide and conquer

Split up to attend more sessions designed for every member of your team.

Evaluate exhibitors and solution providers

Compare solutions for all stakeholders across your business.

Meet with Gartner analysts

Discuss your challenges and validate your strategies in a one-on-one meeting.

Unified strategic vision

Align on strategic goals and ensure everyone is equipped to drive data initiatives forward.

Save big when you attend as a team

Group Rate Discount

Save on registration when you attend the conference with your colleagues. Receive complimentary registration(s) when you register as a team.*

  • 1 for 3 paid registrations
  • 2 for 5 paid registrations
  • 3 for 7 paid registrations
  • 4 for 10 paid registrations

*See Group Rate Discount terms and conditions.

Ready to register your team?

If you are interested in receiving a group rate or learning more about bringing your team to a Gartner conference, please email GlobalConferences@gartner.com or contact your Gartner representative.

Tips for attending the conference as a team

Align your vision as you forge strong relationships and a deeper, shared understanding with your colleagues and peers to help drive your strategies forward.
  • Pre-conference
  • During the conference
  • Post-conference

Pre-conference

  • Have a team-planning meeting to set key objectives.
  • Decide a strategy for how to divide and conquer the agenda (which sessions you attend collectively could be as important).
  • Agree on how you will share key lessons.
  • Create a document repository for notes, slides, etc., on Google Drive or other file-sharing platforms.

During the conference

  • Create a Microsoft Teams/Slack/Google Hangout channel to stay in touch during the conference.
  • Make a plan to share coffee or lunch breaks together as a team.
  • Set up a.m. or p.m. meetings to discuss what you hope to learn, what you did learn and stay connected.

Post-conference

  • Set up a meeting to review key take-aways and create an action plan for how you will apply what you have learned. What are you going to start doing/stop doing/do differently as a result of what you have learned?
  • Connect on LinkedIn with any peers you met during the conference.
  • Schedule follow-up meetings with any exhibitors that piqued your interest (through Gartner Conference Navigator).

Session recommendations by role

  • Prioritize high‑value data and AI initiatives that deliver measurable impact.
  • Establish AI governance that accelerates adoption with clear guardrails.
  • Build a scalable D&A organization fit for enterprise‑wide demand.
  • Drive cultural change to embed data‑driven decision making.

Sample sessions:

  • Gartner Opening Keynote: Navigate AI on Your Data and Analytics Journey to Value
  • Signature Series: Get Ready for Data and Analytics 2030
  • The Future of D&A Governance
  • Executive Story sessions (various)
  • Advance Your AI Strategy for Success in an Era of Constant Change
  • The Intelligence Capabilities Canvas: The D&A Foundation You Need to Drive Innovation and Resilience
  • What Is the AI Leader's Role in an AI-First Enterprise?
  • Designing the Future Ready Data & Analytics Organization for Agility and Consistency
  • Foundations of D&A Strategy: Shortcuts for CDAOs
  • Journey for Realizing Value From Data, Analytics and AI
  • Explore the latest methodologies in advanced data modeling to enhance predictive accuracy.
  • Dive into machine learning innovations and their applications in solving complex business challenges.
  • Learn how to effectively communicate insights through data visualization best practices.

Sample sessions:

  • Are Dashboards Dead? Where and How to Modernize and Evolve Analytics
  • Data Storytelling in the Realm of Generative AI
  • Using Active Metadata to Support Data Agents for AI
  • AI-Ready Data — Lessons Learned Become Practices to Follow
  • Analytics & BI Platforms and Data Science and Machine Learning Platforms (Magic Quadrant Power Session)
  • Activating AI Agents in Analytics and BI Platforms
  • From AI Agents to Multiagent Systems: Where Is the Value?
  • Discover the latest BI tools that transform raw data into actionable intelligence.
  • Master the art of creating dynamic dashboards that provide real-time insights.
  • Understand how to leverage data for data-driven decision making.

Sample sessions:

  • Are Dashboards Dead? Where and How to Modernize and Evolve Analytics
  • Data Storytelling in the Realm of Generative AI
  • Analytics and BI Platforms and Data Science & Machine Learning Platforms
  • How to Govern Self-Service Analytics
  • Establish AnalyticsOps to Scale and Govern Analytics Content in the GenAI Era
  • Gain insights into designing robust data architectures that support scalability and efficiency.
  • Explore cloud solutions that offer flexibility and cost-effectiveness for managing large datasets.
  • Enhance your knowledge of ETL processes to ensure seamless data integration and transformation.

Sample sessions:

  • Data Lake, Lakehouse, Warehouse: How to Choose?
  • The Evolution of Data Engineering for AI
  • How to Unlock the Value of Unstructured Data for AI: Start With Governing It First
  • AI-Ready Data — Lessons Learned Become Practices to Follow
  • Build a Solid Foundation for Data and AI Success With Critical Data Management Technologies
  • From Silos to Synergy: How the Data Management Market Is Evolving into Converged Platforms
  • Unstructured Data Management Is the Missing Ingredient to Prepare GenAI-Ready Data
  • Explore cutting-edge AI innovations and their business applications.
  • Understand the process of integrating AI into existing systems.
  • Develop strategies for scaling AI initiatives efficiently and effectively.

Sample sessions:

  • Signature Series: The Future of AI
  • How Is Agentic AI Impacting and Disrupting Your Data Management Discipline and Technology NOW?
  • Advance Your AI Strategy For Success in an Era of Constant Change
  • Navigating the AI Agent Landscape: A Strategic Guide for IT Leaders
  • Top Trends in Data and Analytics for 2026
  • From AI Agents to Multiagent Systems: Where Is the Value?
  • A Practical Guide to Measure the Cost, Risk and Value of GenAI  
  • Stay updated with the latest analytics techniques for data interpretation.
  • Learn strategies for scaling analytics across various business functions.
  • Enhance your ability to derive actionable insights from complex datasets.

Sample sessions:

  • Are Dashboards Dead? Where and How to Modernize and Evolve Analytics
  • Data Storytelling in the Realm of Generative AI
  • Analytics and BI Platforms and Data Science and ML Platforms
  • Establish AnalyticsOps to Scale and Govern Analytics Content in the GenAI Era
  • How to Design an Effective D&A Operating Model
  • Gain insights into the latest regulations to ensure compliance and enhance data security.
  • Learn to establish governance frameworks that support organizational goals and data integrity.
  • Explore strategies for safeguarding sensitive information and maintaining privacy standards.

Sample sessions:

  • AI for Data Governance: The Benefits and Risks of Adopting New Technologies
  • Magic Quadrant Power Session: Data and Analytics Governance and Augmented Data Quality
  • How to Unlock the Value of Unstructured Data for AI: Start With Governing It First
  • The Future of D&A Governance
  • AI Governance: How to Design an Effective AI Governance Operating Model
  • Streamline Data Quality, MDM, and Data Governance to Achieve More With Less
  • Learn about the latest data security protocols to protect sensitive data.
  • Discover strategies for infrastructure optimization to handle big data workloads.
  • Stay ahead with insights into emerging technologies shaping the future of IT.

Sample sessions:

  • Navigating the AI Agent Landscape: A Strategic Guide for IT Leaders
  • Magic Quadrant Power Session: Data Integration Tools and Metadata Management Solutions
  • Data Management Value Streams
  • From Silos to Synergy: How the Data Management Market Is Evolving into Converged Platforms
  • Use data analytics to inform product design and development decisions.
  • Gain a deeper understanding of customer insights through data analysis.
  • Align product roadmaps with data-driven insights for market success.

Sample sessions:

  • Data Storytelling in the Realm of Generative AI
  • The Intelligence Capabilities Canvas
  • Top Trends in Data and Analytics for 2026
  • Advance Your AI Strategy For Success in an Era of Constant Change
  • Measure and optimize marketing efforts using advanced analytics techniques.
  • Utilize data for effective customer segmentation and targeting.
  • Implement predictive models to anticipate market trends and consumer behavior.

Sample sessions:

  • Are Dashboards Dead? Where and How to Modernize and Evolve Analytics
  • Data Storytelling in the Realm of Generative AI
  • Activating AI Agents in Analytics and BI Platforms
  • Enhance forecasting accuracy with data-driven financial models.
  • Use analytics to identify and mitigate potential risks.
  • Ensure regulatory compliance with effective data management strategies.

Sample sessions:

  • A Practical Guide to Measure the Cost, Risk and Value of GenAI
  • Data Management Value Streams: Connect the Cloud Cost of Data Production to Business Value
  • AI-Ready Data — Lessons Learned Become Practices to Follow
  • Optimize workforce management using workforce analytics.
  • Measure and improve employee engagement through analytics.
  • Promote diversity and inclusion using data-driven strategies.

Sample sessions:

  • How to Design the AI Organization
  • Designing the Future Ready Data and Analytics Organization for Agility and Consistency
  • The Intelligence Capabilities Canvas
  • Understand the importance of data governance in maintaining compliance.
  • Explore the legal challenges and considerations associated with AI technologies.
  • Ensure ethical practices in data management and usage.

Sample sessions:

  • AI Governance: How to Design an Effective AI Governance Operating Model
  • The Future of D&A Governance
  • Streamline Data Quality, MDM and Data Governance to Achieve More With Less
  • How to Govern Self-Service Analytics

“Extremely useful information, always great to stay up to date with the latest trends and emerging technologies in the data and analytics space. I’ll be more equipped to manage my day-to-day and long-term strategies after attending this conference.”

Steven Bowden, Data Manager
Public Sector

Ready to register to your team?