Oct 13 2021


10:00 am - 11:00 am

Machine learning with FIWARE and MLOps

IoT has enabled companies to access data from billions of devices from all over the world but the full exploitation of this data has not yet been achieved as AI adoption still lags. This is mainly due to the fact that 90% of Machine Learning models do not reach the production stage because of a rapid decline of model performance in the industrialization phase. It is, therefore, necessary to provide solutions that can facilitate the transition from development to production. This is where FIWARE and MLOps come into play to provide a full platform, that can monitoring your data and models through different mechanisms and strategies to limit or prevent performance degradation.

Time: 10:00 – 11:00 (CEST)

Speaker: Yannick Lecroart*

Chapter: Processing

Difficulty: 4

Audience: Any Technical

PLEASE NOTE: Registration is required. You will find the access information for the webinar in the registration confirmation email.

*Yannick Lecroart is an IoT Expert at Atos, he is currently working on the structuring of an AI project through MLOps principles. His research interests involve deploying and monitoring AI models built on top of FIWARE.


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