Executive Summit

Developing an effective data strategy goes beyond generic consulting frameworks—it requires a tailored, iterative approach that meets your organization’s unique needs and goals. In this panel, industry leaders will share real-world insights from their journeys to build and evolve their D&A strategies.

Join this panel to learn how to:

• Map data assets and use practical examples to define what successful data-driven decision-making looks like
• Develop, test, and refine your data strategy through stakeholder feedback, ensuring alignment with evolving business objectives
• Shift focus toward robust data governance for high-quality, timely data, and invest in upskilling your workforce for long-term success

AI adoption varies—some organizations are just starting, while others are scaling enterprise-wide. True AI maturity requires more than advanced algorithms; it relies on effective data sharing and seamless integration. How can companies break down silos, enable secure collaboration, and accelerate their AI journey?

Join this roundtable to discuss:

• Measuring AI maturity through data integration
• Driving successful AI with data sharing
• Trends in AI adoption and collaboration

As AI adoption accelerates and digital expectations rise, CDAOs face mounting pressure to deliver timely, trusted and interoperable data. Yet legacy systems, fragmented sources and governance gaps remain major hurdles.

In this roundtable, data leaders will explore:

• Modernizing data foundation for a trusted semantic layer
• Balancing latency, performance and trust
• Supporting scalable innovation and transformation

In an era where AI is reshaping industries and redefining competitive advantage, traditional data management strategies no longer suffice. High-performing executives navigating an AI-first world need proactive, intelligent and automated management of data assets.

Join this boardroom to discuss:

• Harnessing the power of AI to improve data management outcomes
• Transforming data governance, quality and observability with AI reasoning
• Leveraging agentic data management to unlock competitive edge

Connect with like-minded peers in a one-on-one setting through Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

As CDAOs elevate their strategic pursuits, the integration of GenAI into data ecosystems unveils a landscape rich with opportunities and challenges. How can we creatively harness the power of GenAI while ensuring the integrity, security, and governance of our data remain intact?

Join this session to learn more about:

• Advancing Metadata Management Techniques
• Navigating Data Fabric Challenges with GenAI
• Improving the process of governance models

Organizations face exponential growth in data volume and complexity, with data in diverse locations, formats, and quality levels. Its value depends on usability, requiring real-time decisions and insights. To scale accurate, performant generative AI, organizations must unify data access, management, and preparation of high-quality unstructured and structured data.

Join this session to explore how to:

• Face the challenges presented by unstructured data in your AI initiatives
• Deliver superior AI accuracy and governance with your data to unlock ROI
• Build on your hybrid and open data foundation to get to the next stage of AI

In today's data-driven world, organizations must maximize the potential of their data — from building predictive analytics and ML models that power deeper insights into customer behavior, to building GenAI applications. Replicating data across all sources fuels innovation and drives better business outcomes, while modernizing data movement ensures secure and reliable access to centralized data. Join this boardroom to delve into this core topic and learn how technology leaders are modernizing their data platforms and automating processes to get the most value from their data.

During this boardroom, you will discuss:

• Establishing a framework to manage structured and unstructured data
• Improving data readiness for predictive analytics, GenAI applications and ML models
• Building an approach to data management that gives rise to reliable, accessible data

Today, maximizing the strategic impact of AI hinges on how effectively we leverage our data, converting existing data challenges into powerful enablers for AI-driven outcomes. We'll explore collective experiences and share actionable insights on building a data foundation that truly fuels enterprise AI initiatives.

Join your peers to discuss and share perspectives on:

• From data debt to AI dividend
• Architecting for intelligence
• Bridging the AI-data gap