Brian Foster

Gartner’s D&A Budget & Efficiency Benchmark (BEB) is a practical tool to optimize D&A budgeting and planning. Compare your organization’s D&A spending, staffing and resource allocation with industry peers using this tool. Explore key insights like D&A spend patterns, resource allocation strategies and staffing benchmarks. The D&A BEB helps to identify efficiency opportunities, support data-driven funding decisions and align D&A investments with business goals, enabling smarter, more strategic decisions and greater value from analytics investments.

This multigroup session will focus on questions like: - How should organizations implement AI governance frameworks to manage risk, ethics and accountability? - How can organizations prepare and assess their data, infrastructure and workforce to ensure AI readiness. - What are the best practices for the above questions and what are the challenges and barriers to implementation of those practices?

This multigroup session will focus on questions like: How should data and analytics teams be structured to maximize business value, align with strategy, and support governance, AI and data quality across distributed environments? Join this session to learn more.

Empower your influence as a D&A and AI leader by using outcome-driven metrics to communicate tangible value. This workshop delivers actionable tools to translate complex projects into clear business outcomes for executives. Through real-world role-plays, learn to articulate the impact of AI strategies on performance, risk mitigation and innovation. Discover how to align metrics with business objectives and foster vital stakeholder buy-in.

Gartner’s D&A Budget & Efficiency Benchmark (BEB) is a practical tool to optimize D&A budgeting and planning. Compare your organization’s D&A spending, staffing and resource allocation with industry peers using this tool. Explore key insights like D&A spend patterns, resource allocation strategies and staffing benchmarks. The D&A BEB helps to identify efficiency opportunities, support data-driven funding decisions and align D&A investments with business goals, enabling smarter, more strategic decisions and greater value from analytics investments.

According to the 2025 Gartner Generative and Agentic AI survey, around 75% of organizations have either deployed or are piloting some form of agentic AI and a similar percentage report the ongoing development of new use case opportunities. This multi-group discussion session for D&A executive leaders will focus on sharing experiences and addressing the following questions: -- How are organizations scoping & funding agentic investments? How are these efforts similar or different from other investments? -- What agentic use cases are getting the most funding right now and what guardrails are they putting in place? -- How are organizational defining agentic program objectives & outcomes?

This multigroup session will focus on questions like: How should data and analytics teams be structured to maximize business value, align with strategy, and support governance, AI and data quality across distributed environments? Join this session to learn more.