Rita Sallam

Dive into a dynamic session spotlighting the data, analytics, and AI capabilities and AI-First organization must have. Explore how emerging solutions are driving perceptive analytics and enabling increasingly autonomous business—without the hype. Watch curated vendor showcases, engage in interactive polls, and gain fresh insights into the technologies shaping the future of intelligent data and analytics.

Join this roundtable of trailblazers and thought leaders for peer discussions on advancing women in IT leadership. Women attendees are invited to explore opportunities and challenges, and to share best practices for successfully navigating the path to IT leadership.

D&A leaders play a central role in their organization's AI success by providing the critical accelerants needed to realize value from AI. Based on your organization's data, analytics, and AI ambition and where you are today, this session will unfold the vision for data and analytics in 2030. It will describe how your capabilities, operating model and practices need to evolve to realize that ambition.

This session of Gartner’s top D&A predictions for 2026 will guide data and analytics leaders as they plan for the impact of AI across all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.

Today modern enterprises are focused on leveraging their data to enable high-leverage applications of AI across the business. But building an AI-ready data ecosystem that can evolve as technology and business needs evolve requires world-class talent that is not just well-versed in data and technology, but is expert at problem solving, deeply grounded in the business and customer needs, and has strong influence and partnering skills. Join Capital One’s Chief Data Officer to hear about how the company is focused on cultivating and unleashing top-tier talent to help solve complex business problems, build and scale enterprise data platforms and products, and enable high-value enterprise AI capabilities while meeting a rigorous bar for risk and governance.

Leaders responsible for AI must evaluate the potential benefits and costs of new agentic AI use cases. This insight offers a framework, model and specific numbers for building and simulating total cost and key value drivers at scale for AI agent use cases.

D&A leaders play a central role in their organization's AI success by providing the critical accelerants needed to realize value from AI. Based on your organization's data, analytics, and AI ambition and where you are today, this session will unfold the vision for data and analytics in 2030. It will describe how your capabilities, operating model and practices need to evolve to realize that ambition.

This session of Gartner’s top D&A predictions for 2026 will guide data and analytics leaders as they plan for the impact of AI across all aspects of data and analytics, including leadership, governance, talent, market and the need for AI-ready data and a FinAI competency for value realization.