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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Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 600 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, Generative AI use cases, and everything in between.