Learn about proven techniques to boost the use and productivity of your self-service analytics environment. What works and what doesn't? What should you prioritize if you're just getting started? How can you keep the environment fresh as you mature? What should you be thinking about in addition to analytics as you build and grow your approach? Join us to know the answers to such questions.

How is Al-Futtaim evolving into an AI-powered enterprise? This session explores how AI is being embedded across its diverse business units to unlock operational efficiency, enhance customer experience, and empower employees with AI-driven tools — all with the goal of creating long-term value.

A heightened need for trust in our data, its lineage, and use, has propelled governance of master data, in particular, from a nice-to-have to a critical foundational pillar of D&A and AI initiatives. This session covers key considerations across people, process and technology in running a successful MDM program that delivers tangible business value and sustainable governance.

Agentic systems have become a reality. However, many IT leaders are uncertain about how they will evolve or how they can be used to gain advantage. Join this session to explore the evolution of AI agents, from simple agents to autonomous multi-agent systems.

Implementing AI governance can be challenging, navigating this in the public sector is particularly so with risk focus often overshadowing value and benefits. This roundtable will explore practices in overcoming challenges to achieve success in AI Governance with specific focus on public sector aspects including data, regulations and workforce.

CDAOs and AI leaders often struggle to get started with GenAI. Attend this session to understand the first critical components you need to build or buy: Data, AI Engineering tools, a search and retrieval system, the application, and the right types of models. With these building blocks, you can build several working GenAI prototypes to help you prove the value and justify further investments.

While AI is popular in the media, surveys show about half of organizations struggle with basic data science, fearing they will fall behind. This fear can hinder progress, especially in certain industries. However, they don't have to choose between AI and foundational data science. By combining predictive and prescriptive analytics, organizations can leverage the best of both worlds to create better solutions.

Cloud has exposed the cost of individual workloads at a highly granular level. It is, in essence, a complex cost optimization problem. This session provides the tools for D&A leaders to understand how to manage and evolve cloud-operating models. We provide the foundations in the three rings of financial governance, and explore the state and future of FinOps.

This session will delve into the challenges data management leaders face and provide recommendations to address them. By understanding and tackling these challenges, leaders can optimize their data management strategies and drive informed decision making.

To support its Digital First mission, the BBC is transforming into a data product organisation. This session will explore how the BBC's data strategy is driving a cultural and organisational shift that is evolving its data architecture and embedding data capabilities company wide. Discover the BBC's approach to developing certified, shareable data products that strengthen governance, enable self-service analytics, and establish a foundation for responsible AI use.

Five years ago, Rolls-Royce had no dedicated data science capabilities. Today, over 7,000 users—from coders to citizen data scientists—actively leverage AI. This transformation extends beyond technology, emphasizing AI democratization, a data-driven culture, and responsible scaling. This session explores key strategies for enterprise-wide adoption, from use case ideation to realisation of significant AI value.

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.

Organisations adopting a Data Mesh framework often face challenges in ensuring regulatory compliance, transforming data assets into scalable products, and maintaining governance. Explore how NatWest addresses these complexities by integrating knowledge graphs with GenAI and LLMs to enhance data discovery, enforce governance policies, and accelerate product development. Learn how this approach strengthens regulatory data qualifications, automates metadata management, and delivers faster, more reliable insights— to build and scale AI-driven data products yielding a potential 10x efficiency gain.

Join us to hear from Oracle Red Bull Racing and learn about the Oracle and Oracle Red Bull Racing partnership, highlighting the significance of how Oracle technology is the backbone of success to the Championship winning Formula 1 team. Oracle is supporting the build of the 2026 Powertrain engine and how analytics from the race simulator is helping form the next generation of drivers.

CDAOs are making investments daily. Perhaps you're looking to grow your team, or maybe making a technology investment to support GenAI, or another investment where you need to build buy-in and gain funding. This workshop will help you develop personal influence skills while also building a strong story for investment.

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.

Disruptions are fundamental shifts that create lasting changes that do not die away unless disrupted by something else. CDAOs must embrace the notion that disruption will continue and become more frequent. This will decide who leads and who follows. This session examines seven disruptions that are closer than you think and should be on the CDAO's strategic radar.

Despite the popularity of retrieval-augmented generation, organizations are struggling to optimize large language model applications based on RAG. Attend this session to get suggestions and recommendations on improving your RAG solution, LLMOps for RAG systems and scaling considerations.

Decision intelligence is quickly gaining traction as the discipline that aims to connect analytics and decision making. But how to make decision intelligence a reality? Where to start, which approach to follow, how to go about the reengineering and modeling of decisions and which decision intelligence platforms are available? This session will address these and other emerging practices to improve your business impact.

Many CDAO were technical practitioners first but success as a CDAO requires an enhanced skill set of an elite executive. Many data functions operate as data order takers and service providers for their organization, restricting their influence and impact. This session examines the ways in which the CDAO and the data functions can elevate themselves into positions of power and influence.

This session is crucial for organizations aiming to maximize the utility of large language models by integrating internal data. Gain actionable insights and practical solutions to improve model performance and business outcomes. Ideal for technology leaders, data scientists and business strategists looking to harness the full power of LLMs.

This session is designed for first-time CDAOs and experienced CDAOs at a new company/industry. The insights you glean will help you proactively shape and manage your first days and weeks in your new role to have an immediate impact and build a strong foundation for the future.

Organizations have limited time to meet requirements with the coming of European AI Act. This may likely have more impact than the GDPR did. It is critical to take action now. The US, China and others have their own strategies. Join us to know how D&A leaders can plan and execute strategy in this fragmented landscape, and how ethics, governance and practical strategy help achieve durable AI value.

The roundtable will explore the benefits and challenges of both the approaches and aim to find a middle ground that combines the strengths of both adaptive and control governance. Participants will discuss how to strike a balance between agility and stability, innovation and risk management, and empowerment and accountability.