Productionize Machine Learning on Azure

Machine Learning (ML) has gained widespread adoption among companies, exploring use-cases and serving as a powerful tool for unlocking value.
Getting ML projects from experimentation to production remains a formidable challenge for most organizations.

In this session, I will introduce a solution accelerator designed to address this very hurdle. The accelerator encompasses turnkey MLOps capabilities, alongside other essential components such as AutoLake.

By attending this session, you’ll gain a comprehensive understanding of the accelerator’s features, enabling you to streamline your Machine Learning journey. Additionally, I will provide practical examples illustrating the transition from research and development (R&D) to successful production deployment! 🚀🔍📈

Kim Berg

Lead Architect Cloud Solutions & Data/AI Platform @Sogeti | Microsoft AI MVP

Norrköping, Sweden


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