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.

Discover why one-size-fits-all cloud approaches to AI often lead to cost inefficiencies, performance issues, and security risks. This session reveals how Private AI-building AI applications with enterprise data on infrastructure you control-delivers powerful insights without compliance concerns. Learn how Amdocs' true hybrid architectures optimize costs by deploying AI workloads where they make most sense financially and operationally in the monetization domain. Hear about Amdocs’ real-world implementation story and its vision for Private AI.

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.

The days of running a business on Excel and static reports are long gone. Organizations need to be more agile than ever before, and AI can help transform not only what you do but take you to the next level and drive adoption and value. Join Pyramid Analytics and their premier customer East of England Co-op, and learn how they reinvented their data and analytics strategy. They'll share the tangible steps they took to conquer their challenges, the benefits they are seeing today, and their exciting path forward with AI and analytics!