A Guide to Using MLOps to Safely Industrialize Your Models

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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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.