Delve into the critical aspects of risk management and regulatory change in data, analytics and AI. Bring your questions and learn how to identify potential risks, triage and prioritize them, and implement effective mitigation strategies to safeguard your organization’s digital assets to be able to deliver AI projects.

BI has a bad rap as last century’s analytics and static reporting, while AI is the cool kid on the block. Yet most AI projects focus on tech over business impact. With real-time analytics and actionable insights, BI is now focused on driving measurable value across operations, strategy and customer engagement.

As Microsoft continues to promote and enhance their Microsoft Fabric offering, many clients are asking: How does Microsoft Fabric impact my current Power BI estate? What are some strategies for successful deployment of Microsoft Fabric? How do we scale analytics in Microsoft Fabric and leverage its native AI functionality? This session provides expert insights on Power BI to Microsoft Fabric migrations.

Analytics has always been "ground zero" for citizen developers and the low-code/no-code movement. However, the shift toward generative AI and the avalanche of analytics content will overwhelm current analytics operating models, which are already struggling to scale delivery.

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.

This multigroup session will focus on questions like: How should data and analytics teams be structured to maximize business value, align with strategy, and support governance, AI and data quality across distributed environments? Join this session to learn more.

As analytics platforms become more accessible to a broader range of users, and use cases multiply and diversify across organizations, the decentralization of analytics breeds chaos for analytics specialists focused on architecture. A federated architecture can enable agility, control and resiliency.

Join this interactive session to engage with your peers and explore proven methods for demonstrating the value of data and analytics programs. Gain new insights and ideas from the experiences of other leaders to effectively communicate positive impacts and tangible results within your organization.

D&A leaders play a central role in their organization's AI success by providing the critical accelerants needed to realize value from AI. Based on your organization's data, analytics, and AI ambition and where you are today, this session will unfold the vision for data and analytics in 2030. It will describe how your capabilities, operating model and practices need to evolve to realize that ambition.

Data and analytics leaders are turning to AI agents to automate data analysis and drive actionable insights with minimal human effort. The success of agentic analytics hinges on addressing the challenges of integration and reliability. In this session, discover how the model context protocol (MCP) can be used with knowledge graphs to solve these challenges and create scalable solutions.

Delve into the critical aspects of risk management and regulatory change in data, analytics and AI. Bring your questions and learn how to identify potential risks, triage and prioritize them, and implement effective mitigation strategies to safeguard your organization’s digital assets to be able to deliver AI projects.

Dive into a dynamic session spotlighting the latest innovations transforming data, analytics, and AI. Explore how emerging solutions are driving perceptive analytics and enabling increasingly autonomous business—without the hype. Watch curated vendor showcases, engage in interactive polls, and gain fresh insights into the technologies shaping the future of intelligent data and analytics.

A uniform and configurable operating model ensures speed, agility, and consistency in how data and analytics teams stand up their individual implementations. D&A leaders can use Gartner’s D&A operating model framework to configure and design their own models for successful reuse across all D&A initiatives.

Despite advancements in GenAI, self-service analytics continues to fail at delivering its expected impact to organizations due to governance, trust, accuracy, scalability and adoption challenges. This presentation provides CDAOs with strategies to derive more value from analytics investments.

Join this interactive session to engage with your peers and explore proven methods for demonstrating the value of data and analytics programs. Gain new insights and ideas from the experiences of other leaders to effectively communicate positive impacts and tangible results within your organization.

Organizations are charged with being more productive, and while AI is an answer to many such opportunities, organization and program structure can be far more impactful on productivity than using AI. This session will weave together data and analytics governance, MDM, and data quality into one organized initiative that will simplify complexity. Join this session to learn more.

As Microsoft continues to promote and enhance their Microsoft Fabric offering, many clients are asking: How does Microsoft Fabric impact my current Power BI estate? What are some strategies for successful deployment of Microsoft Fabric? How do we scale analytics in Microsoft Fabric and leverage its native AI functionality? This session provides expert insights on Power BI to Microsoft Fabric migrations.

This session discusses whether AI will replace business intelligence (BI) or simply transform it. As BI interfaces become gateways to AI analytics, trust and precision are crucial — users won’t tolerate AI errors. Join this session to explore if AI will deepen insights and automate action, or will BI adapt and survive in a changing landscape.

D&A and AI leaders, including CDAOs, continue to face challenges in demonstrating the value of D&A and AI initiatives. This session will provide a roadmap for gaining stakeholder buy-in, quantifying value and building a robust business case, learning from the successes of other organizations, and continuously measuring results and adjusting.

This session of Gartner’s top D&A predictions for 2026 will guide data and analytics leaders as they plan for the impact of AI across all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.

Organizations continue to struggle to prove the value of agentic analytics initiatives, often due to a disconnect in AI's ability to connect and interpret operational metrics. To unlock the full value of AI, you need a robust metrics framework. A metrics framework provides a structured approach to measure success by aligning high-level strategy with daily operations, enabling both human and agentic data-driven decision-making. By distilling strategy into clear, simple, actionable KPIs, these frameworks enhance transparency and yield insights for strategic recommendations and measurable business value.

Analytics and business intelligence (ABI) platforms are increasingly integrating AI agents to transform how data is analyzed and insights are delivered. Data and analytics leaders need to proactively understand these shifts to maximize AI's business impact and ensure organizational readiness. Join this session to learn more.

The buzz: “Dashboards are dead.” Yet, they remain the backbone of enterprise analytics for operational oversight. GenAI is revolutionizing the space, promising to streamline migration and inject intelligence, but only 8% of new reports use it today. Explore the “death of dashboards” narrative, along with the opportunities and pitfalls of migrating to next-gen analytics.

In this session, you’ll explore a reference architecture that serves as a blueprint for future-proofing your data and analytics environment. Through practical, step-by-step guidance, you’ll learn how to align your technology stack with business objectives — whether you're modernizing an existing architecture or building one from the ground up.

Trust in data, strong risk management, robust trust models, and agentic AI are reshaping how enterprises handle data, analytics, compliance, and business value. This session explores the impact of trust on data governance and agentic AI.