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 experts

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.

Session recommendations by role

  • Drive organizational growth through strategic data initiatives.
  • Lead with confidence in a data-rich environment.
  • Maximize the ROI of data investments through informed decision-making.

Sample sessions:

  • CDAO Circle: Leadership Exchange: Influence and Storytelling for High-Impact Investments
  • CDAO Circle: Leadership Exchange: Adapting to Thrive, Creating the Next Generation of D&A Delivery Models
  • CDAO Circle: Leadership Exchange: State of D&A in 2025
  • CDAO Circle Roundtable: Evolution of the CDAO Role (Multigroup)
  • The CDAO Role in AI Conversation
  • So You Want to be a Great CDAO & Leader?
  • Roundtable: How to Talk Data and Analytics to the Executive Leadership in Government
  • The Future of 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:

  • Key Take-Aways From 7 Real-World Cases for Building AI-Ready Data Enterprise
  • Managing Metadata: From Passive to Active Metadata
  • Build a Foundation for BI and AI Success With Data Quality and Data Observability Tools
  • Unstructured Data Quality: How to Improve Trust to Ensure AI-Ready Data
  • Ask the Expert: Essential Data Quality Practices for AI-Ready Data
  • Ask the Expert: How to Evaluate and Select a Data Integration Tool
  • Data Mesh: A Successful Path to Federated Data Management
  • Data Fabric: Building and Managing Your Foundational and Long-Term Data Management Architecture
  • AI-Ready Data
  • Data Lake, Lakehouse, Warehouse: How to Choose?
  • Building a Business Case for MDM Is Harder Than You Think
  • 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:

  • Why Your Next AI Project Should Leverage Graph Analytics and Knowledge Graphs
  • How to Help Your Colleagues Make Better Decisions (Using D&A)
  • Workshop: Avoiding the Top Mistakes in Your Dashboard Through Best Practices in Data Storytelling
  • Data Storytelling in the Realm of Generative AI
  • Key Take-Aways From 7 Real-World Cases for Building AI-Ready Data Enterprise
  • Build a Foundation for BI and AI Success With Data Quality and Data Observability Tools
  • Unstructured Data Quality: How to Improve Trust to Ensure AI-Ready Data
  • Data Fabric: Building and Managing Your Foundational and Long-Term Data Management Architecture
  • Data Lake, Lakehouse, Warehouse: How to Choose?
  • 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:

  • Key Take-Aways From 7 Real-World Cases for Building AI-Ready Data Enterprise
  • Managing Metadata: From Passive to Active Metadata
  • Build a Foundation for BI and AI Success With Data Quality and Data Observability Tools
  • Unstructured Data Quality: How to Improve Trust to Ensure AI-Ready Data
  • Ask the Expert: Essential Data Quality Practices for AI-Ready Data
  • Ask the Expert: How to Evaluate and Select a Data Integration Tool
  • Data Mesh: A Successful Path to Federated Data Management
  • Data Fabric: Building and Managing Your Foundational and Long-Term Data Management Architecture
  • AI-Ready Data
  • Data Lake, Lakehouse, Warehouse: How to Choose?
  • Building a Business Case for MDM Is Harder Than You Think
  • 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:

  • Scale AI from Pilot to Production With AI Engineering
  • Composite AI: One Single Model Is Not All You Need
  • Government: Successfully Deploying and Sustaining AI
  • AI Governance: Design an Effective AI Governance Operating Model
  • Ask the Expert: Agentic AI: Reality and Practices
  • Ask the Expert: Mistral AI, DeepSeek, and the New Wave of Cost-Efficient LLMs: What Does it Mean for the Future of Enterprise AI?
  • AI Agents: Are You Ready to Set Your AI Free?
  • The Future of AI
  • Hype Cycle for Generative AI
  • 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:

  • Why Your Next AI Project Should Leverage Graph Analytics and Knowledge Graphs
  • Top 5 Analytics & AI Challenges and How to Handle Them
  • Ask the Expert: How to Boost the Enablement of Self-Service Analytics
  • How to Help Your Colleagues Make Better Decisions (Using D&A)
  • The Future of Analytics in the Era of Generative AI
  • Technical Insights: How to Govern Self-Service Analytics
  • Establish Analytic Franchises to Drive Adoption Break Bottlenecks and Maximize Value
  • Workshop: Avoiding the Top Mistakes in Your Dashboard Through Best Practices in Data Storytelling
  • Data Storytelling in the Realm of Generative AI
  • 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:

  • Use MDM and Data Quality to Ensure Your Data Governance Is Relevant to Stakeholders
  • Roundtable: Overcoming AI Governance Challenges in the Public Sector
  • Key Steps for Assessing Your D&A Governance Platform Requirements
  • 5 Things That Keep Heads of Governance Up at Night
  • Magic Quadrant for D&A Governance Platforms
  • Use Trust Models to Drive Data and Governance Success
  • Roundtable: Reaching a Compromise Between Adaptive and Control Governance
  • 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:

  • CDAO Circle: Roundtable: AI Ready Operations: Building and Transforming the D&A Function (Multigroup)
  • Ask the Expert: Tips for Successfully Piloting of GenAI in Public-Sector Organizations
  • The Future of Computing Is Data Driven
  • The Pillars of a Successful AI Strategy
  • Scale AI From Pilot to Production With AI Engineering
  • Composite AI: One Single Model Is Not All You Need
  • Government: Successfully Deploying and Sustaining AI
  • Ask the Expert: Mistral AI, DeepSeek, and the New Wave of Cost-Efficient LLMs: What Does it Mean for the Future of Enterprise AI?
  • AI Agents: Are You Ready to Set Your AI Free?
  • Why Your Next AI Project Should Leverage Graph Analytics and Knowledge Graphs
  • Top 5 Analytics & AI Challenges and How to Handle Them
  • The Future of Analytics in the Era of Generative AI
  • Technical Insights: How to Govern Self-Service Analytics
  • Managing Metadata: From Passive to Active Metadata
  • Build a Foundation for BI and AI Success With Data Quality and Data Observability Tools
  • Ask the Expert: How to Evaluate and Select a Data Integration Tool
  • Data Mesh: A Successful Path to Federated Data Management 
  • Data Fabric: Building and Managing Your Foundational and Long-Term Data Management Architecture
  • AI-Ready Data
  • Data Lake, Lakehouse, Warehouse: How to Choose?
  • Use MDM and Data Quality to Ensure Your Data Governance is Relevant to Stakeholders
  • Key Steps for Assessing Your D&A Governance Platform Requirements
  • 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:

  • Top Data and Analytics Predictions, 2025
  • Top Trends in Data and Analytics 2025
  • How to Create a D&A Strategy for Real Business Results
  • Workshop: From Vision to Action: Bridging Strategy and Execution
  • Workshop: Define and Mature Your D&A Operating Model
  • Ask the Expert: Agentic AI: Reality and Practices
  • Hype Cycle for Generative AI
  • Ask the Expert: How to Boost the Enablement of Self-Service Analytics
  • How to Help Your Colleagues Make Better Decisions (Using D&A)
  • Key Take-Aways From 7 Real-World Cases for Building AI-Ready Data Enterprise
  •  Unstructured Data Quality: How to Improve Trust to Ensure AI-Ready Data
  • Ask the Expert: Essential Data Quality Practices for AI-Ready Data
  • 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:

  • Top Data and Analytics Predictions, 2025
  • Roundtable: Gartner’s Most Maverick Predictions
  • Workshop: Avoiding the Top Mistakes in Your Dashboard Through Best Practices in Data Storytelling
  • Data Storytelling in the Realm of Generative AI
  • 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:

  • Workshop: How to Link Data and Analytics to Business Outcomes
  • The Peculiarly Challenging Business Case for GenAI
  • How to Realize Value From D&A and AI: The Journey
  • Roundtable: Creative Ways to Demonstrate the Value of the D&A Program
  • Building a Business Case for MDM Is Harder Than You Think
  • Optimize workforce management using workforce analytics.
  • Measure and improve employee engagement through analytics.
  • Promote diversity and inclusion using data-driven strategies.

Sample sessions:

  • Embrace the Inevitable: Lead Change With D&A and AI
  • The Politics of Data and Analytics
  • How to Create an Optimal Data & Analytics Organizational Model
  • Establish Analytic Franchises to Drive Adoption, Break Bottlenecks and Maximize Value
  • 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:

  • CDAO Circle: Roundtable: Responsible AI Discussion Club (Multigroup)
  • Ask the Expert: Operationalizing Your Data, Analytics and AI Strategy: Seizing Opportunities
  • AI Governance: Design an Effective AI Governance Operating Model
  • Roundtable: Overcoming AI Governance Challenges in the Public Sector
  • 5 Things That Keep Heads of Governance Up at Night
  • Magic Quadrant for D&A Governance Platforms
  • Use Trust Models to Drive Data and Governance Success
  • Roundtable: Reaching a Compromise Between Adaptive and Control Governance

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.

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 platform.

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).

“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?