A Guide to Using MLOps to Safely Industrialize Your Models

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Presented by

David Talaga (Product Marketing) and Francois Sergot (Product Management), Dataiku

About this talk

The value of and interest in machine learning models is exploding and, with it, the pressure from the business to feed digital services. However, there are still many obstacles on the road to industrialization. Project cycles take too long, teams struggle to keep up, and — worse — don’t know how to tackle friction in their MLOps processes, which can lead to risky AI initiatives and detrimental outcomes. What approach should you take to help de-risk and scale your AI efforts? Discover how to eliminate friction in your MLOps process and see how Dataiku helps make your processes more fluid, reliable and controlled.

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