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In this webinar we showed how to create a Machine Learning pipeline, put it into production in a few minutes, serve the results via a secure API, and analyze its execution (experiment tracking). As an example, we used a use case for predicting electricity consumption by region, every 30 minutes over a 24-hour period, based on data collected directly by the French grid operator (RTE).
🎙 Speakers
Matteo Lhommeau, Data Scientist at Craft AI
Roman Vennemani, AI Architect at Craft AI
Hélen d'Argentré, Head of Marketing at Craft AI
👋 About
Craft AI has developed a SaaS platform that facilitates the development and deployment of Python applications, without DevOps skills. Thanks to the platform, you can easily set up computing infrastructures, create Python code pipelines and deploy them in production in the form of secure APIs.
On the market, we are positioned as a pure-player of MLOps with a specialization in the deployment and management of models. We offer a solution that is very easy to use, with an ergonomic interface and clear pricing. As the only French and European player, we offer our customers a strong proximity and reactivity as well as a particular commitment to aspects of sovereignty and data protection.
Thanks to our offer, our customers divide by 5 the time needed to deliver an application to their end users and reduce the associated cost by 80%.
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