This primary goal of this workshop is to equip participants with strategies and practical techniques to secure enterprisewide support for data governance initiatives. The workshop focuses on building a compelling business case, engaging key stakeholders and demonstrating the value of data governance to the organization.

As we enter a new era of productivity, automation isn’t about armies of robots—it’s about enabling better decisions through algorithms. For knowledge workers, the true transformation is human-centric.
While generative AI and robotics capture headlines, the real foundation of successful automation is high-quality, well-governed data. Without it, your AI initiatives will stall, and your brand could suffer.
Join Soda and LexisNexis Risk Solutions to explore how empowering your people with data governance, observability, and literacy is the key to unlocking the full potential of agents and GenAI.

Power BI and Microsoft Fabric have become the data hub for your organisation, providing everyone access to your critical and sensitive data. Whilst incredibly powerful, this also brings significant risk.
Including real world case studies, this session will look at how you can protect your organisation, your data, and yourself, through effective governance, auditing and disaster recovery within Power BI and Fabric.
This will cover effective planning, risk management, license reduction, FinOps, permissions monitoring, audit trails, and more.

In this exclusive session, we’ll explore how the London Stock Exchange Group (LSEG) is transforming its data governance journey with Solidatus, placing data lineage at the core. With its history dating back more than 300 years, LSEG’s complex data landscape has been shaped by acquisitions and historic systems, which presents unique challenges in mapping data flows across diverse technology stacks. Learn how LSEG is partnering with Solidatus to overcome governance challenges, achieve regulatory compliance, and why data lineage is essential for building trust in data products.

This session will delve into the critical role that emotional intelligence (EQ) plays in the successful implementation of data governance frameworks. It will explore how EQ can enhance collaboration, communication and compliance among stakeholders, ultimately leading to more effective data governance.

AI is data hungry. The lack of data is the most frequently identified barrier to AI adoption. We’re not lacking in data, per se. We’re lacking data that is AI-ready. And traditional data governance practices often hinder AI project progress.

Learn how a European AI innovation leader more than halved the wait time for AI-ready data, saving hundreds of pounds per year by implementing both a data enablement culture and a data policy enforcement technology solution.

See through the hype to better understand the practical applications, risks, and aspirations of AI in the data governance industry. Find out how to position your data governance program as a leader for your organizations' AI initiatives.

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.

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.

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.

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.

The most difficult part of establishing a data governance program is making it stick. This session will discuss challenges with identifying, motivating, and supporting data governance, ownership, and stewardship roles and tactics to build momentum for the program.

As enterprises race to unlock AI, many face barriers like poor metadata and weak governance. In this session, Rebecca O’Kill (CDAO of Axis Capital), Tim Gasper, and Juan Sequeda share how AI is not just the outcome of governance—it’s the incentive. Framing AI as the “carrot” motivates adoption of governance as a strategic enabler. Learn how AI-powered governance, data marketplaces, and knowledge graphs together provide context, drive smarter metadata, and enable impactful AI use cases like underwriting agents that require structured and unstructured data.

Accelerating AI use cases demands strong data governance and many organizations struggle to manage complex, growing data volumes effectively. This session explores essential strategies for building a solid data governance foundation. Learn how organizations are overcoming common data governance obstacles, like data silos and inconsistent rules, to achieve measurable gains in data quality and efficiency. Through real-world examples, discover how unified data platforms can simplify data discovery, classification, and policy enforcement, leading to faster, data-driven decisions and reduced risk.

Learn how one of Europe's leading insurers is leveraging AI in it's Next Generation Data Governance strategy. This presentation reveals the essence of AI ready data, comprehensive metadata frameworks, product thinking and data excellence to power data governance and AI adoption at scale.
Essential insights for data leaders seeking to combine transformative AI capabilities with enterprise-grade data management.

We will discuss the latest burning issues that heads of data governance must address, and also provide recommendations to manage and exploit emerging opportunities. With an understanding of the influencing drivers and trends, leaders will be equipped to optimize their data governance strategy.

This primary goal of this workshop is to equip participants with strategies and practical techniques to secure enterprisewide support for data governance initiatives. The workshop focuses on building a compelling business case, engaging key stakeholders and demonstrating the value of data governance to the organization.

As organizations face growing regulatory demands and data complexity, a mature data governance strategy is key—not just for compliance but for efficiency, risk reduction, and business value. At Centrica, data discovery with BigID enhances governance with visibility and control across the data lifecycle. From DSARs and data lifecycle automation to security and compliance, BigID helps Centrica reduce risk, accelerate response times, improve efficiency, and drive smarter decisions. Join BigID and Centrica to explore key insights, challenges, and best practices.

Alessandro Allini, Head of Data Governance at Crédit Agricole Italia, and Stephen Brobst, CTO at Ab Initio, discuss the revolutionary impact of shifting from treating “Data as an Asset” to “Data as a Product”. You will gain insights on designing, manufacturing, and measuring data success with this approach. Alessandro will discuss the corporate journey toward Data Products that is empowering business knowledge workers with self-service capabilities and optimized data design for seamless consumption. Stephen will reveal how AI co-pilots accelerate data product creation and drive innovation.

AI's potential depends on quality data. Many struggle with AI due to data governance or slow processes, especially with unstructured data. Join peers in discussing strategies for improving and governance to maximise AI potential, managing structured and unstructured data, connecting LLMs with enterprise data and data security best practices.

Join Kevin Falkenstein, Service Manager of Data Governance Platform, and Axel Frank, Senior Solution Architect, from Siemens as they share Siemens' transformative journey in scaling Data & AI governance. Discover how Siemens is paving the way for the future by managing Data & AI models across departments, ensuring compliance, and building a foundation for long-term success by unifying Data and AI strategies with Collibra.

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.