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

10:00 AM - 10:20 AM AEST

Acceldata: Beyond the Lakehouse: Agent-Ready Data Architecture for the Autonomous Enterprise

The Lakehouse was built for human analytics and classic AI. Agents are different: continuous, contextual, and intolerant of stale or ungoverned data. In this session, Ashwin Rajeeva explores what agent-ready data architecture requires — federated access across hybrid environments, continuous observability, and runtime governance — plus a four-phase maturity model for scaling enterprise AI agents into production. ... Show More Show Less

10:00 AM - 10:20 AM AEST

Altis: Right Conversation, Right Time: Personalising Retirement at Aware Super
Mythili Baker, HEAD OF DATA & AI, Aware Super
Investing in your data and creating a solid foundation is a great strategy, but what are you building towards? In this session, Aware Super will share how they’re creating hyper-personalised moments for over 1.3 million members using ML, Gen AI and a strong data foundation, why it matters for Australians' retirement futures, and what lessons they'd share with anyone starting that same journey. ... Show More Show Less

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

The Future of D&A Governance
Joel Backaler, 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

11:15 AM - 11:45 AM AEST

IBM: Agent AI Foundations for Enterprise Scale: How Commonwealth Bank deployed Agentic AI at Scale
Krishnan Subramanian, Chapter Lead, Agentic AI and Model Lifecycle, CBA
Krishnan Narayana Swamy, Field CTO, IBM
Most organisations have AI pilots. Few have AI agents running reliably in production at enterprise scale. The gap is in the data foundation, architecture, governance and operating model. This session explores what Commonwealth Bank built with IBM, what broke, and what they’d change – offering a practical framework for assessing agentic AI and data readiness, and hard-won lessons on architectural decisions, resilience and trust. ... Show More Show Less

11:15 AM - 11:45 AM AEST

SAS: VIC Pol’s Approach to Building Trust Through AI Transparency and Explainability
John Kilburn, Regional Industry Leader, SAS
Kirsten Williams, Director, Intelligence, Victoria Police
AI is reshaping intelligence, but without transparency, risks outweigh the promise. In the intelligence domain, explainability is essential for internal confidence and external credibility. This session explores how Victoria Police use SAS to build transparent and human-centred AI. Learn how they bridge the gap between complex analytics and operational decisions to build trust with officers and the community while responsibly scaling ethical 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

12:45 PM - 01:05 PM AEST

Airia: AI Sprawl: The Hidden Risk Threatening Your Enterprise Now(And How to Stop It)
Richard Davies, REGIONAL SALES LEAD, Airia
The proliferation of AI agents and models creates unprecedented challenges for data leaders. Shadow AI, ungoverned data flows, and fragmented pipelines threaten data quality and compliance. Learn how leading executives gain visibility and control over AI ecosystems through strategies for discovering assets, implementing governance frameworks, orchestrating data flows, and ensuring lineage. Walk away ready to govern AI without stifling innovation. ... Show More Show Less

01:10 PM - 01:30 PM AEST

Bigeye: Accelerating Trusted AI in the Enterprise: Operationalizing trust for AI agents
Eleanor Treharne-Jones, Chief Executive Officer, BIGEYE
At Gartner Australia, Bigeye will show how enterprises can build trust in AI agents as they move into business workflows. Bigeye Agent Trust Hub connects agent activity to data quality, governance, lineage, ownership, policy, usage, and cost signals, giving data, AI, risk, and business leaders the visibility, auditability, and controls needed to move from fragmented AI activity to operational AI trust safely, efficiently, and accountably. ... 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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