Deployment and Operationalisation of Data Science

Presented by

Alexandre Hubert, Lead Data Scientist, Dataiku

About this talk

How to build production-ready data science projects? How to transition from a design to a production environment? Designing and validating models is only one part of a whole data science project. And today production issues are the main reason many companies fail to see real benefits come from their data science efforts. During this webinar, we will first understand what « to go into production » means and then consider actionable steps to build production-ready data science projects: 1. Operationalisation: why is it important? 2. Challenges from design to production 3. Building production-ready AI projects

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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.