Lakehouse has become a cornerstone in managing large and heterogeneous data by providing capabilities that simplify organizational data architecture, unify data assets, and help streamline, harmonize, and enhance data processes, operations and governance. Lakehouse provides high value to the organization, reduces technical debt, and prepares the organization for new frontiers like AI.

Most metadata in 2024 will remain passive in approaches with stats, reports, schema and business-developed glossary terms. Most organizations must grow their maturity in metadata management. We start with traditional metadata techniques — passive. With AI undergoing confidence issues and the demand to reduce risk, grow AI confidence, and provide data assurance, active metadata becomes key.

"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 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.

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 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.

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.

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.

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 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.

Data and analytics leaders expect their data and analytics investments to deliver business results. But unless they address data, analytics and AI risk, their initiatives will fail, leading to higher business risk exposure. This session will help D&A leaders target three key areas where better data and analytics risk practices will yield better business results.

Join us for this roundtable, tailored for Black and Brown technology leaders and open to all attendees, to explore the impact of GenAI on the workforce and underrepresented talent. As AI continues to shape the future of work, the high quality of diverse thought and talent holds both the promise of inclusivity and the hope of overcoming perpetuating biases. Together we’ll discuss how AI can be a double-edged sword — potentially amplifying existing inequalities and amplifying how diverse talent is highly qualified talent overall

The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.

More than 50% of generative AI projects fail. This session will help data & analytics leaders learn the common causes of failures and understand best practices to mitigate those failures and scale AI across the enterprise.

AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.

Data is the fastest growing asset for every enterprise, and traditional rule-based systems are not delivering intelligent, context-aware security that adapts at speed to evolving threats while reducing operational overhead. Join Ash Hunt to explore how enterprises are revolutionizing data security through the transformative power of artificial intelligence. Drawing from extensive experience protecting Fortune 500 companies, Ash will share how AI-native solutions are powering real-time threat detection and automated risk remediation across complex cloud environments.

In the face of siloed systems and fragmented processes, Helvetia, a leading international insurance group, sought to increase efficiency and innovation. Discover how improving the integrity of location data, centralising it on a scalable platform, and automating workflows led to significant business transformation. With streamlined spatial operations integrated seamlessly with pricing and underwriting, Helvetia eliminated manual work, accelerated regulatory response, revealed new cross-sell opportunities, and enabled greater AI relevance and accuracy.

AI-powered decisioning is here—but why aren’t enterprises fully leveraging its potential? Many organizations still struggle with fragmented decisioning engines, inefficient workflows, siloed data, and lack of AI governance.

Join us for an engaging discussion with your peers. We’ll tackle the real barriers to AI-driven automation, explore strategies for integration, and explore how organizations are achieving measurable impact through seamless, scalable decisioning.

AI-powered Data Engineering Agents usher in a new era of data agility. Engage with Google Cloud and your peers to explore the implementation of autonomous data agents and their impact on enterprise agility. From automating data pipelines to ingestion to transformation, discover how to leverage autonomous data agents to build self-managing data ecosystems and accelerate the time from raw data to impactful decisions. This is where data's potential truly meets AI power.

Enter the agentic era of data and analytics with Tableau and Agentforce. Discover how AI agents are accelerating data modeling and unlocking conversational analytics. Hear how leading organizations are harnessing agents to reimagine decision-making, supercharge insight delivery, and unleash the full potential of their data-driven workforce.