AI and Generative AI are rapidly reshaping how organizations generate insights, automate workflows, and interact with business data. But AI only creates real value when it is built on a foundation of trusted, well-governed data.

In this live session, experts from Databricks and mindit.io will show how organizations can move from AI strategy to real execution by combining strong data foundations with modern GenAI capabilities.

You will learn how to explore, build, evaluate, and scale AI solutions with confidence, ensuring reliability, security, and business impact from day one.

what we’ll cover

This 1-hour session is designed to help business and technical leaders understand how to make AI work effectively with their data, from foundational architecture to production-ready solutions.

You will learn:

• Why AI and Generative AI matter today and the opportunities they unlock for organizations
• How governed, high-quality data enables reliable AI outputs and reduces risk
• Databricks Lakehouse reference architectures and the core elements of a strong data foundation
• Quality and observability considerations such as freshness, completeness, and drift
• How Genie Space enables conversational analytics over governed business metrics
• How to build custom AI agents with Agent Bricks, including evaluation, monitoring, and security practices
• What it takes to move AI solutions from experimentation to trusted, repeatable usage
• The key lifecycle stages for scaling AI responsibly across teams and business units

By the end of the session, you will have a clear understanding of how trusted data, governance, and modern tooling come together to support AI that organizations can rely on.

who’s it for

This webinar is ideal for:

• C-level executives and technology leaders defining AI strategies
• Heads of Data, AI, and Analytics seeking reliable AI outcomes
• IT architects modernizing data platforms
• Innovation and digital transformation leaders
• Organizations moving from AI experimentation toward production-ready use cases

If your goal is to build AI that is not only powerful but also trustworthy and scalable, this session is for you.

Trusted data is the difference between AI experiments and AI that drives real business outcomes.

Join us on March 3 at 12 PM CET to learn how to build AI with confidence, move toward production-ready use cases, and scale responsibly.

Reserve your seat now.