Organizations rely more and more on data-driven decisions and AI models to compete, innovate, and scale. The AI adoption is rapidly growing, including autonomous AI agents that act on your data. As AI systems move from insight generation to decision-making and action, trust becomes the critical success factor.

This session explores how trust should be part of data platforms and is essential for scaling AI and AI agents responsibly. We examine why high-quality, well-governed data alone is no longer sufficient, and how trust must extend across data, models, agents, and outcomes. Attendees will learn how trust can be intentionally designed into data platforms through clear ownership, fit-for-purpose governance, automation, and transparency.

In this session we will dive into:
* Data-driven decisions, modern data platforms, and data products
* Why autonomous AI agents amplify the need for trust
* How to build trust through people, process, tooling, and data quality
* Key dimensions of trust in data platforms
* Trust as a strategic and competitive advantage

And of course how te get started!