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?

Dive into a dynamic session spotlighting the latest innovations transforming data, analytics, and AI. 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.

AI agents can upend traditional AI use cases and unlock transformative potential, but the real danger isn’t overhyping their power — it’s overestimating your organization’s readiness. D&A leaders must see past the hype, sidestep common pitfalls, and build the foundation needed for true AI success.

Although retrieval augmented generation is a very popular architectural pattern for delivering Q&A over complex internal information, it is also extremely hard to build a high quality, high accuracy RAG system. Come to this session to learn the 7 gotchas of RAG systems and best practices to improve their performance.

In this session, we will explore cost transformative vendors such as DeepSeek and MistralAI’s impact on AI development, highlighting the potential to enhance enterprise innovation at a price/performance that is unprecedented. Data, analytics & AI leaders can bring their questions on how they can capitalize on new training and inferencing paradigms in AI, the future of AI model development and the impact of reasoning models on a more autonomous future in AI.

Generative AI costs can rapidly escalate due to poor architectural decisions, lack of operational know-how and inadequate governance. In this session, we outline the top ten best practices that D&A leaders can adopt to optimize costs, enabling them to achieve quicker business value and operational efficiency.