All 2027 Conference Tracks

A track designed for CDAOs, data, analytics and AI leaders tasked with creating a strategy and operating model that delivers business value. These leaders develop talent and mature a data-driven culture by building trust and managing data while evolving technology capabilities.

This track covers everything you need to be successful with AI, including: AI strategy, responsible AI, AI governance, agentic AI and AI agents, generative AI, LLMs, retrieval augmented generation, AI engineering, prompt engineering, AI architecture, data science, ML, and scalability. This track is designed for D&A leaders and practitioners such as heads of AI, AI experts, AI architects and AI engineers.

This track covers everything you need to be successful with analytics and business intelligence, including: self-service analytics, the adoption and impact of generative AI, agentic analytics, ecosystems, composability, natural language query, metrics and dashboards, data storytelling and decision intelligence. This track is designed for D&A leaders and practitioners such as heads of analytics, business analysts, analytics developers, analytics architects and engineers.

This track covers everything you need to be successful with data management including data fabric, data products; data observability, cost optimization, scalability, resilience and reliability of data management architectures.

A track designed for data, analytics and AI leaders responsible for governance programs as well as those who take on governance roles like stewardship. It addresses governance programs and platforms for data, analytics and AI as well as the strategies for coordinating distinct governance programs.