"Can we use AI for that?" is a question we've all heard by now. But should we? If yes, what type of AI fits, and what impacts should be considered? The regulatory landscape complicates matters with laws on data, AI technology, and ESG impacts, to name a few. Attend this session to learn five foundational steps to address in every AI project. While compliance isn't guaranteed with these steps, failure is likely without them.

Come together for a discussion with peers to discuss how you've made an impact in your new role in year one. 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 will be looking forward to meeting with you.

Come together for a discussion with peers to discuss best practices and challenges around overcoming AI challenges for enterprises in the Pulic Sector. 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 will be looking forward to meeting with you.

This roundtable will facilitate an interactive discussion on common challenges and strategies for overcoming internal resistance to data products. Participants will share experiences and sol utions.

Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.

The future of computing will be a virtuous cycle, where use cases drive compute mechanisms and vice versa, supporting human endeavors in a digital world. Data is central, but computing's future isn't a single paradigm. Its impact will deeply affect business and society, from augmenting human capability to autonomy. What will the three horizons look like? Join this session to learn more.

Data and analytics leaders can struggle to translate and assess the necessary investment and return value of D&A initiatives in the public sector. In this session, participants will learn frameworks for public sector value determination and communication and then build out value stories for their initiatives.

This very popular workshop shares the latest toolkit which can be used to diagnostically connect data, analytics, governance and their impact on business processes, decisions and outcomes.

Like crafting an exceptional champagne, data governance is a meticulous process where each step adds value, fully appreciated when the final product is experienced.
Moët Hennessy shares its transformative journey in embedding a minimal viable data product governance framework within its data processes to create an exceptional experience for data users.
This session will explore how a data product approach, supported by DataGalaxy, enables the concretisation of Data governance with over 80% of assigned ownership, transforming it into a catalyst for efficiency, quality and business impact.

The data landscape is rapidly evolving, with the rise of data marketplaces, AI, and self-service data access creating new data security and governance challenges. Now more than ever, data teams must quickly and constantly adapt their strategies to ensure data remains secure, compliant, and trustworthy while fostering innovation and data-driven decision making.

How does a global luxury brand ensure a seamless, data-driven experience across channels? Join us to learn first-hand about a leading retailer’s MDM journey and how Tamr helped unify and improve their customer data at scale. We’ll discuss the challenges of legacy data, the impact of AI-native data mastering, and the tangible business benefits of a modern MDM approach. Learn how the company built a trusted data foundation to enhance personalization, streamline operations, and drive growth in a competitive market.

Poor governance of reports, data, and ETL leads to significant hidden costs in most organizations. Companies are spending excessive amounts on database and BI usage, while at the same time BI end user experience is suffering and engagement is low. We'll look at the top 6 ways companies waste money in these areas and how to fix them.

Managing hybrid environments across clouds, domains, and database platforms presents significant challenges in observability, scalability, and maintaining estate health. In this session, Peter Birch from Markel shares real-world insights in managing large database estates and its challenges, detailing how they leveraged Redgate Monitor to ensure visibility, optimize performance, and mitigate risks. Learn how to navigate the demands of hybrid infrastructure and cloud migrations, implement best practices for observability at scale, and overcome pitfalls in managing a diverse database estate.

UK Power Networks will share how they extracted data from century-old handwritten and printed archives. Using FME coupled with AI, UKPN was able to automate a task turning a multi-year effort into days. See how All-Data, Any-AI Integration can be used to unlock new insights, drive efficiency, and accelerate innovation.

Fragmented data environments block innovation and slow decision-making. Learn how Merck overcame these challenges by implementing lean data governance and automated data discovery to streamline access across complex systems. Daniel Stöckel, Merck’s Global Head of Data & AI Product Portfolio, shares real-world R&D and Finance use cases, including data products and metadata management. Actian‘s CPO Guillaume Bodet will then present a vision for AI-powered data federation and a curated, self-service data ecosystem that accelerates innovation enterprise-wide.

Join us to discover the data challenges AstraZeneca are facing and how they are tackling them using Experian’s Aperture Data Studio. Learn about the benefits they're experiencing, the positive impact it’s having on their patients and how data quality and governance will support their longer term data vision.

Engineering knowledge is often trapped in silos, limiting innovation. Fast adoption of GenAI with an integrated approach unlocks and scales knowledge, creating a competitive edge.

This session explores how AI accelerates decision-making, streamlines knowledge management, and drives business impact.
Discover real-world use cases and strategies to stay ahead with scalable, AI-driven solutions that seamlessly integrate into enterprise workflows, ensuring faster adoption and maximum value.

With over 45 million connections across broadband, mobile, TV, and home phone, VMO2 is on a mission to upgrade the UK. Hard at work making their data trustworthy and accessible, their data team is now ensuring nearly 16,000 colleagues can make the most of it.
Join Mauro Flores, EVP, Data Democratisation at VMO2, and Prukalpa Sankar, Co-founder of Atlan, for a behind-the-scenes look at how they’ve transformed Data Governance into a business enabler, taking an AI- and domain-based approach to build a single definition of trustworthy data, and unleashing it for end-users through data products.

Institutions face fragmented data ecosystems that slow AI adoption, increase compliance risks, and complicate governance. Without clear metadata lineage, trust, explainability, and operational efficiency suffer.
In this session, we demonstrate how automated lineage and metadata intelligence:
- Map end-to-end lineage across hybrid environments
- Ensure AI readiness with traceable, high-quality metadata.
- Simplify compliance with real-time data visibility.
- Empower teams with accessible data, avoiding IT bottlenecks.
Discover how institutions turn metadata into a competitive advantage.

SAP and Databricks recently announced their landmark partnership to simplify customer’s data landscapes. Join us to see how we are coming together to shift how applications and data platforms work together. From curated SAP data products to zero-copy integration, learn how SAP Business Data Cloud with SAP Databricks enables your data architecture of choice to deliver insights your business can trust.

Data lakehouses continue to be hyped, but do they replace or complement data lakes and data warehouses? Where do we stand from an architectural perspective? What is hype and what is real? What should be expected in the coming years?

Organizations can face many challenges in operationalizing D&A and AI strategies. In this session, we will discuss how to capitalize on value-based opportunities, engage with stakeholders and get to what matters.

Data and analytics leaders can use the concept of a “franchise” as a metaphor to communicate the optimal organizational model, data architecture and governance framework that large enterprises require to scale self-service analytics programs.

Data products are all the rage within D&A functions as the next wave of potential solutions to reduce the business-IT friction and provide sustained means to data delivery. However, there are many challenges. This session will help D&A leaders understand and build data products, manage and govern them through contracts, and sustain them through marketplaces, governance, and ops best practices.

Data governance is essential for every organisation—ensuring appropriate use of data and maximising its value. Done right, it doesn’t hold us back—it helps tackle collective challenges, especially within large, complex institutions.
James Benford will explore the contribution of data governance across three dimensions: aligning around a cohesive strategy, guiding data and information management, and enabling innovation through AI.
James will share learnings from the Bank of England’s evolving approach. A key lesson: viewing governance as the lever through which we shape our collective future—supported by culture, guided by humility, and built on trust.