All Gartner Data & Analytics 2026 Conference Sessions

The 2026 agenda dives deep into key topics for data, analytics and AI leaders around agentic AI, governance, leadership, data architecture and more to help you address your organizations’s mission-critical challenges.

2026 Conference Theme

Value at AI Velocity: Navigating the Now and Next

As AI accelerates change across industries, leaders must deliver immediate impact while preparing for future developments. This year’s conference focuses on overcoming challenges like scaling AI, managing disruption, and balancing risk using governance—helping leaders unlock data’s full potential for lasting success.

Explore our conference sessions below, all developed with this theme in mind. Take a look at the list of tracks available onsite.

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Hear from past Gartner Data & Analytics Summit attendees on how they leverage the conference agenda, networking opportunities and expert interactions to help address their most urgent data and analytics priorities. 
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Tuesday, 16 June, 2026

10:30 AM - 10:50 AM AEST

Magic Quadrant Power Session: Data and Analytics Governance and Augmented Data Quality
Guido De Simoni, VP Analyst, Gartner
Data and governance platforms help organizations design and enforce governance policies for data and its derived assets across its life cycle. Wile augmented data quality solutions streamline the identification of quality issues and automate key data quality processes. In this session, we'll present the latest Magic Quadrant for both markets, discussing vendors, their capabilities and market trends to help you choose the best tool for your needs. ... Show More Show Less

10:30 AM - 11:00 AM AEST

Signature Series: The Future of AI
Erick Brethenoux, Distinguished VP Analyst, Gartner
AI is moving faster than ever. AI techniques should bring adaptability to an uncertain world in constant flux. However, despite its extraordinary power and early promises, AI has not been leveraged to its full potential. What is missing? Where did we go wrong? Join us as we discuss our ambition for the future of AI and AI should do for us to deliver the value that we are expecting. ... Show More Show Less

10:30 AM - 11:00 AM AEST

The Future of D&A Governance
Sarah Turkaly, Director Analyst, Gartner
Data and analytics governance has historically lagged in innovating. We are at a tipping point where D&A governance can be a single point of failure for AI. To succeed, D&A leaders must evolve governance for the future while reinforcing proven practices. This session provides a forward-looking perspective on D&A governance, including governance of AI, by AI and for AI. ... Show More Show Less

12:00 PM - 12:30 PM AEST

How to Unlock the Value of Unstructured Data for AI: Start With Governing It First
Melody Chien, VP Analyst, Gartner
As AI shapes business decisions, making unstructured data AI-ready is a key governance priority. The quality, accessibility and security of unstructured data directly determine the performance of AI applications, particularly for GenAI. To unlock its value for AI initiatives, data and business leaders should evolve their governance strategies to effectively manage, protect and utilize unstructured data, ensuring it is AI-ready while meeting compliance and security requirements. ... Show More Show Less

02:00 PM - 02:30 PM AEST

AI for Data Governance: The Benefits and Risks of Adopting New Technologies
Guido De Simoni, VP Analyst, Gartner
Many organizations are wondering how GenAI will impact their D&A governance and management tools, and by extension, their D&A governance operations. This research provides an overview of how key D&A markets are incorporating GenAI capabilities and how these will change the nature of D&A governance. ... Show More Show Less

03:45 PM - 04:15 PM AEST

A Practical Guide to Measure the Cost, Risk and Value of GenAI
Luke Ellery, VP Analyst, Gartner
AI spending has reached "material levels" your CFO must report, yet only few leaders can confidently answer their questions. This session provides an updated, practical guide to mastering GenAI financials. Leave with a clear understanding of cost-scaling factors, hidden financial risks, and a proven method for changing your funding decisions to maximize and report on measurable business value. ... Show More Show Less

03:45 PM - 04:15 PM AEST

AI Governance: How to Design an Effective AI Governance Operating Model
Mike Rollings, Distinguished VP Analyst, Gartner
Implement your target AI governance operating model by mapping governance pillars to key AI components and differentiating AI capabilities. This model should connect with other governance bodies and extend existing governance models to AI-specific considerations of trust, transparency and diversity. ... Show More Show Less
Wednesday, 17 June, 2026

10:00 AM - 11:30 AM AEST

Workshop: How to Gain Enterprisewide Support for Data Governance
Sally Parker, Sr Director Analyst, Gartner
The primary goal of this workshop is to equip participants with strategies and practical techniques to secure enterprisewide support for data governance initiatives. The workshop focuses on building a compelling business case, engaging key stakeholders and demonstrating the value of data governance to the organization. ... Show More Show Less

10:15 AM - 10:45 AM AEST

Government AI Adoption: Critical Building Blocks and Barriers to Measurable Impact
Dean Lacheca, VP Analyst, Gartner
As governments worldwide intensify initiatives to responsibly implement artificial intelligence (AI) in pursuit of enhanced operational efficiency and public service delivery, recurring challenges and systemic barriers persist. This session will examine the essential strategic pillars enabling successful AI adoption within the public sector, highlighting best practices and case studies where governments have effectively navigated obstacles to achieve measurable impact. Participants will gain actionable insights into overcoming common hurdles and leveraging AI to meaningfully impact government operations. ... Show More Show Less

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“It was helpful to understand the latest trends in data and how we can apply this at our work place. It was also interesting to know what to look forward to in years to come in data space.”

Nebu Sudhakaran
Advanced Analytics Specialist, Hastings Deering

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