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.

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.

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.

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.

Embark on a transformative AI journey with our session focused on deploying AI agents that deliver immediate ROI while ensuring robust data security. We’ll delve into advanced AI orchestration techniques that not only enhance system efficiency but also improve employee productivity. By incorporating TRiSM principles, you’ll learn how to develop AI applications that are both trustworthy and risk-managed. Whether you are just beginning your AI journey or seeking to expand your existing framework, this session offers practical insights to transform AI potential into meaningful business outcomes.

AI innovation starts with control over your data. Sovereignty, governance, and observability aren’t optional—they’re the foundation of an AI-driven future. We’ll help you identify the right building blocks to configure a sovereign AI and data platform that extends value, integrates seamlessly, and removes friction between teams. Future-proof your infrastructure, unlock new opportunities faster, and harness the power of collective intelligence—on your terms.

Tableau Next is built on the Salesforce Platform - a unified platform where data, metadata, workflows, apps, and AI come together to make agentic analytics possible. Join this session to learn more.

GenAI may excelling in some areas but fail in others, complicating the business case. CIOs often underestimate costs, which can scale by 500%-1000%. Productivity is a key benefit but hard to prove to CFOs. Should you invest in chat-style GenAI for 100K employees or near-custom AI for 50 R&D staff? Join our session to master cost scaling, value harvesting beyond productivity, and creating a portfolio of GenAI investment options.

As we enter 2025, the evolution of agentic architectures—AI agents capable of autonomous decision-making—will hinge on one critical factor: data quality. High-quality, reliable data is the foundation for AI readiness. This session explores the interplay between data quality, data observability & agentic AI, highlighting DQLabs’ approach to more autonomic platform. Discover how AI-driven automation enhances data accuracy & reliability, reduces cost & manual effort, prepares organizations for the agentic era with scalable, self-optimizing systems built for AI success.

To scale generative AI and drive real value, enterprises need to get the most from their data. Business leaders must shift their focus to creating efficient, secure and scalable data foundations to train their AI. Given that 80% of enterprise data is unstructured, driving performant and accurate AI requires a strategy to unify structured and unstructured data as well as solutions to enable data access verification, integration and governance across disparate environments. Hear how leading organizations are successfully leveraging their data to fuel growth and trust across their business.

AI agents are emerging as an important trend since they enable levels of business adaptability, flexibility and agility that traditional AI systems can’t achieve. This flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. Autonomous behaviors, despite significant societal, legal and ethical implications, are the answer to the increasing complexity in our enterprise systems.

Prioritizing data and AI literacy programs directly impacts the core measures of a firm’s financial performance. Investing in data and AI literacy is the fastest way for D&A leaders to achieve payback in their D&A maturity journey, especially in early stages of maturity.

Responsible data sharing is the key to intelligent health, enabling seamless insights across healthcare. Industry leaders face challenges in balancing new data demands, data sharing and AI innovation while complying with tough privacy regulations and overcoming cultural resistance. This session will explore opportunities and best practices for securely and ethically sharing data to drive innovation, improve patient outcomes and enhance collaboration across the ecosystem.

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.

Join us to explore how AWS is shaping the future of data and AI, unlocking new opportunities for business innovation and data driven decision-making with the next generation of Amazon SageMaker, your center for data, analytics, and AI. Collaborate faster with proven services coming together in a unified experience, with open access to all your data and with built-in governance.

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.