Data management continues to evolve and is increasingly becoming a dedicated function led by heads of data management. Gartner has been investigating what makes heads of data management successful. This session will discuss the key characteristics around organizational structures, operating models, architecture and technology to establish characteristics of successful data management.

D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.

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.

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.

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.

Malcolm Hawker describes MDM as a ‘must have’, while Juan Sequeda has described it as a ‘fancy integration’. As many CDO’s use MDM to solve decades-old problems, others turn to data catalogs as a natural starting point in their data journeys. This divide highlights the difficulty CDO’s face when prioritizing data initiatives: should they start with data management, or governance? Come hear two data experts debate:

- MDM Build vs. Buy
- Where should CDOs prioritize? MDM or Catalogs?
- What role do data products play in this choice?

Future-proof your data architecture: Learn how DoorDash built a data lakehouse powered by Starburst to achieve a 20-30% faster time to insights. Akshat Nair shares lessons learned about what drove DoorDash to move beyond Snowflake to embrace the lakehouse. He will share his rationale for selecting Trino as their lakehouse query engine and why his team chose Starburst over open source. Discover how DoorDash seamlessly queries diverse sources, including Snowflake, Postgres, and data lake table formats, achieving faster data-driven decision-making at scale with cost benefits.

CDAOs implement self-service analytics (SSA) to enable data-driven decision making across their organizations. However, SSA initiatives often fail to deliver on their full potential due to governance, trust, scalability and adoption challenges. This presentation provides a framework for CDAOs to balance control and agility within SSA to drive meaningful business value from data.

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.

Data catalogs suffer from a high failure rate that is often blamed on poor technology choices but are more often the result of nontechnical issues. This session will provide insight to data and analytics leaders in evaluating metadata management requirements, assessing readiness of organizations and best practices for getting started to implement a data catalog.

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.

Data is the fuel for Oracle Red Bull Racing to analyze their practices and qualifying races. By using a modern technology stack on Oracle, the Oracle Red Bull team was able to increase the number of simulations it could run, allowing the team to explore more variables and increase accuracy by focusing on track conditions, the pace of the car, and tire degradation to evolve the team’s strategy. Focusing on competitor analysis also helps determine how to navigate rival strategies that give our drivers the best chance to win.

Discover how you can implement a winning data & analytics solution.

Data and analytics leaders must operate within the realities of the geopolitical impacts that we now face. These include an increased focus on contingency planning for diverse vendor selection, avoid reliance on products or technologies that may be subject to trade policies or other restrictions and confronting increased costs.

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.

Discover how Data Mesh is transforming data management by decentralizing delivery and empowering business-driven D&A initiatives. You will find out what data mesh is, its benefits, and the most common challenges. We will provide a successful path based on the experience of early adopters, allowing you to avoid the most common pitfalls and adopt data mesh successfully.

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.