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.

In this roundtable, D&A leaders will discuss how they are balancing the centralization and decentralization of data management, empowering LOBs to achieve self-sufficiency while leveraging the benefits of a centralized data management function. They will also address how to maintain control over local initiatives and prevent the spread of risky patterns that are misaligned with governance policies.

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.

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.

Data integration is a core component of D&A, and it is continuously transforming. This session provides guidance on how best practices for data engineering are evolving to improve data integration and support AI initiatives. It also examines the trends guiding data integration technology, including how data integration tools are leveraging AI features.

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.

Organizations now have more options to build effective RAG systems, and those options come with confusion. Many organizations are looking to capitalize on new innovations such as long context windows, knowledge graphs, reasoning models, multi agent systems, and beyond. Attend this session to learn about seven challenges with RAG systems, their associated architectural choices, and best practices to improve their performance.

This workshop will cover the end-to-end process of managing a data product, from ideation to launch. It will include product roadmap development, stakeholder management and go-to-market stra tegies.

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Join us for a networking reception on the Exhibit Showcase where you can engage with your peers, Gartner experts, and exhibitors while enjoying delicious food and beverages. Evaluate industry offerings that can move your business forward. Attend a theater session to see technology in action.

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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.

Data engineering faces increasing pressure to deliver AI-ready data that meets agentic AI requirements. This session explores changes in data engineering functions, practices, architectures and technologies.

To achieve agentic optimization, D&A leaders must invest in active metadata and data ecosystems, develop FinOps maturity, and train AI models. This foundation enables efficient, automated decision-making for deploying and optimizing D&A resources. This session explores how these areas intersect, offering a holistic view of agentic capabilities, impacts and risks. Go beyond targeted agents and think big!

In this session, two experts will have a dynamic dialogue presenting how federation and self-service are reshaping data management. Together, they’ll debate the risks and rewards of centralization and decentralization, exploring how, through federation and self-service, organizations can balance control with empowerment, and offer an actionable strategy for navigating the evolving landscape of data management.

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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.

Gartner research shows that technical excellence alone rarely shifts mindsets or drives cultural change. If you want your business to truly think differently about data, you need to stop “selling” capabilities and start “marketing” value, using the same tactics as world-class consumer brands. This session unveils a new playbook for D&A leaders to build and execute a marketing plan that transforms culture and boosts adoption, with Gartner insights and real-world examples. Learn why most D&A strategies fail, how to apply proven marketing principles, and spark enthusiasm for data across your organization.

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.