Business Talk Data & AI

L’IA ne transforme pas de mauvaises données en bonnes décisions. Dans ce Business Talk, Thomas Pinte (Netvigie), Nicolas Malo et Hugo Stepien (Optimal Ways) expliquent comment fiabiliser vos données digitales et e-commerce avant de les confier à l’IA.

When AI amplifies data errors

Wrong data falsifies a dashboard. Entrusted to AI, it can go much further: feed recommendations, campaigns or automated actions, on a large scale and without anyone noticing

That's what the 1-10-100-1000 rule is all about: the later an error is detected, the more expensive it is. And with AI, it no longer remains isolated, it is spreading.

What you will discover in the replay The

main sources of errors in e-commerce data, and their impact on acquisition, personalization and conversion The
Spec-Driven Measurement: starting from a clear specification to make the collection reliable from the start The
detection of anomalies with the Weekly Data Quality Check, the Optimal Ways method of controlling your data every week How Netvigie automates the monitoring of the quality and compliance of your data, to
identify discrepancies before they reach your dashboards

The foundations to build to have data ready for AI

A conviction shared with our partner Optimal Ways: AI does not catch up with bad data, it multiplies

its effects.

If you are interested in these issues, fill out the form below to watch the full replay of the Business Talk.

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2 min

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Gouvernance du Tracking : pourquoi vos méthodes actuelles ne suffisent plus

Tracking governance: why your current methods are no longer enough

Shared Google Sheets, manual recipes, internal scripts... These methods have long allowed digital teams to manage their Tracking.

And they still work.

Until the moment when the pace caught up with them.

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The real challenge is therefore no longer just collecting data. It's about whether you can still trust them when it comes to making a decision.