Executive Summit

Open Data Infrastructure is essential for organizations in the AI era, helping leaders scale analytics and AI while maintaining control. CDAOs must balance innovation, flexibility and cost as data platforms expand.

Join this session to learn about:

• Designing interoperable architectures to avoid lock-in
• Applying openness to semantics, metadata and governance
• Enabling AI and operations with flexibility and cost transparency

Organizations do not create value through data, analytics, or AI alone, but through the decisions those capabilities enable. As expectations for measurable business impact continue to rise, D&A leaders must move beyond delivering insights and take a more active role in shaping, supporting, and improving decision making across the enterprise. This keynote explores how decision intelligence frameworks help connect data and analytics investments to business outcomes, enabling organizations to communicate value more effectively, prioritize opportunities, and drive better decisions at scale.

Join Gartner Analyst Gareth Herschel as he shares insights on how to:

• Use decision intelligence as a bridge between D&A capabilities and measurable business value
• Evaluate different types of decisions and understand their implications for D&A strategy, investments, and operating models
• Communicate the impact of data and analytics in terms business leaders understand and act upon
• Begin rethinking data and analytics through the lens of decision making to unlock greater organizational value

Most technology transformations begin with a platform rollout. AI is different. Employees are already experimenting with AI across the business, making traditional top-down adoption strategies difficult to sustain. As organizations pursue ambitious value targets, leaders must balance broad AI enablement with focused investments, governance, and change management that support business outcomes.

Join this session to learn how to:

• Enable responsible AI adoption across the enterprise
• Balance broad AI access with targeted strategic investments
• Build governance models that accelerate, rather than restrict, value

As Agentic AI moves from experimentation to execution, leaders are under pressure to demonstrate measurable business impact while managing tokenization costs and evolving operating economics. The conversation is shifting from AI capabilities to value creation, cost transparency and platform strategy.

Join this boardroom to discuss:

• Identifying value levers across revenue, operation cost, productivity, and modernization
• Ensuring Agentic AI initiatives drive measurable business outcomes
• Evaluating platform choices, architecture and vendor options.