Executive Summit

As analytics and AI adoption accelerates, CDAOs are shifting from reactive data quality to proactive, end-to-end visibility across the data lifecycle. By embedding governance and automation, organizations can scale reliable, decision-ready data products that deliver measurable business value.

Join this session to:

• Build trusted, enterprise-scale data workflows
• Enable proactive visibility for scalable data products
• Automate data reliability for analytics and AI success

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.

 Details coming soon.

Scaling AI successfully goes beyond packaging executive ROI stories for the board; it requires a tailored, bottom-up approach that normalizes AI in daily operations. In this closing fireside chat, industry leaders will share real-world insights from their journeys to deploy AI, measure its true business impact, and look ahead at what is next. By exploring the next three to five years of AI development, this forward-looking discussion will help executives prepare their organizations—and themselves—for the next era of digital leadership.

Join this keynote to learn how to:

• Package compelling AI deployment and ROI stories for the board
• Measure the cross-business impact of AI initiatives using data
• Normalize AI in daily workflows to upskill your talent pool
• Prepare your organization and yourself for the next era of AI leadership