AI in Data Management: From Hype to Real Work

Join the CDQ AI Webinar series. To see how to transform the hype into every day good practices. 

AI in Data Management:Prompting in Practice

Built on experience from over 150 real-world use cases, we will show how AI can support data management where it matters most: in day-to-day operations, complex workflows, and expert decision-making.

You will see how prompting becomes a new core capability. Not as a trick—but as a structured, repeatable way to guide AI in data enrichment, validation, and transformation.

We will also explore how to design multi-step workflows where AI does not replace experts—but augments them. Step by step. With control. With accountability.

What you will learn:

• How to design effective prompts for real data management tasks
• How to build multi-step AI workflows that actually work in practice
• How to combine AI capabilities with expert knowledge
• How to move from experimentation to repeatable, scalable usage

This is where AI becomes real work. Not just potential.

AI in Data Management:Hype or Help?

Is AI in data management a breakthrough or just well-packaged hype?

The answer depends on one thing: trusted data.

In this session, we move beyond the buzzwords. You will see how AI is reshaping the economics of data management—shifting repetitive work from manual teams to governed, accountable agents. But also why AI alone is not enough. Without trusted sources, clear ownership, and governance by design, automation quickly turns into an error factory.

What you will take away:

• How AI changes operating models—and frees experts for what really matters
• Why trusted data is the foundation for any AI-driven value
• How to define clear guardrails for agent autonomy
• How shared intelligence accelerates data quality across organizations