Training
What to ask a number before trusting it.
Data and AI literacy for leadership teams: not so the board learns to code, but so it knows when a metric is lying, how to decide whether an AI initiative deserves budget and what the regulation requires. Standalone or as part of the fractional CDO fee.
What we cover.
- How metrics break: exchange rates, dates that aren't the one you think, badly defined ratios, “active customer” with three meanings.
- The 3-D rule for deciding on any data or AI initiative.
- How to read a data or AI vendor's proposal and spot what it doesn't say.
- What GDPR, the Data Act and the AI Act change in leadership decisions, without the legal jargon.
- Generative AI in the team's day-to-day without putting customer data where it shouldn't go.
With your data, not textbook examples.
Wherever possible, the examples come from your metrics and your systems, or from synthetic data that mimics them. That way the training leaves something done, not just notes.
Frequently asked questions
- Who is it for?
- Leadership teams and department heads of growing companies: CEO, CFO, COO, CTO and anyone who decides with data without being technical. No coding required.
- Can it be run in-house?
- Yes, that's the usual format: in-company, adapted to your sector and your metrics, in English or Spanish. It can also be a milestone within the fractional CDO fee.