Metadata, data quality and data observability tools provide significant capabilities to ensure good data for your BI and AI initiatives. Metadata tools help discover, and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for BI and AI initiatives.

Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey

In today's data-centric environment, developing a strong data strategy is crucial for aligning with business goals and driving success. Engage with peers to delve into the complexities of creating effective data strategies that support business objectives. Join to share insights, learn from each other, and uncover practical strategies to enhance your data management practices. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with us you.

Three out of four companies are betting big on AI – but most are digging on shifting ground. In this $100 billion gold rush, none of these investments will pay off without data quality and strong governance – and that remains a challenge for many organizations. Not every enterprise has a solid data governance practice and maturity models vary widely. As a result, investments in innovation initiatives are at risk of failure. What are the most important data management issues to prioritize? See how your organization measures up and get ahead of the curve with Actian.

Join us for an exclusive roundtable discussion featuring industry leaders and experts as we delve into the transformative power of the SAP and Databricks partnership. This session is designed to provide actionable insights and foster a collaborative dialogue on the ways this collaboration is reshaping the landscape of data management, AI, and business strategy.

This will be a dynamic, interactive roundtable where participants can share their viewpoints, explore real-world use cases, and address challenges and opportunities. The session is designed to encourage open discussion and provide valuable insights for navigating the evolving data and AI landscape.

Discover how Data Mesh is transforming data management by decentralizing delivery and empowering business-driven D&A initiatives. You will find out what data mesh is, its benefits, and the most common challenges. We will provide a successful path based on the experience of early adopters, allowing you to avoid the most common pitfalls and adopt data mesh successfully.

With growing focus on AI in organisations, deliveringAI-ready data has become the number one investment priority of data management leaders. This session will define AI-ready data, how it differs from traditional data management and discuss AI-ready data practices and technologies.

Legacy data tools weren’t built for the AI era. Agentic Data Management replaces static rules and siloed platforms with intelligent agents that monitor, reason, and act—automating quality, governance, and lineage at scale. Discover how data leaders are shifting from manual firefighting to autonomous control, powering faster, trusted, and scalable data for AI and analytics.
See a live demo of an agentic system in action


Learn how probabilistic and deterministic approaches work in concert


Explore how to build intelligent data products using the MCP protocol