On-demand Webinar: Machine Learning on STM32 with Cartesiam: for equipment monitoring and more

1-hour on-demand webinar to learn how to take advantage of the AI solutions developed by ST and Cartesiam to integrate Machine Learning-based condition monitoring capabilities into your system.

In this session, we introduce condition monitoring at the edge and explain how ST’s offer combined with Cartesiam’s solution, allows you to easily, quickly and affordably run on-device learning and anomaly detection in your own solutions on compact and low power devices.

Why you should watch

Predictive maintenance (PdM) is based on condition monitoring, abnormality detection and classification algorithms and is widely implemented in industrial and consumer markets. AI has the potential to make it more accurate then ever.

Today,  ST and Cartesiam give you the keys to easily build your AI-based PdM application without having to invest in resources on data science or needing to deeply understand machine learning techniques. You will learn the steps required to set up predictive maintenance in your system and quickly put theory into practice thanks to ST’s and Cartesiam’s joint solutions. Watch this on-demand webinar and discover how we can help you develop your AI application and bring it to market across a wide variety of innovative use cases.


  • Condition monitoring at the edge
  • How to easily build ML algorithm (Cartesiam)
  • And embed it at the edge (ST)
  • Use cases and application example
  • Interconnectivity between ST's AI solutions and Cartesiam's offer
  • Expanding device connectivity features

STは、STの製品およびサービスに関するニュースレター、広告、およびその他の特定のターゲット・マーケティング資料を(直接、またはSTの現地関連会社あるいは販売代理店を通じて)お客様にお送りするため、お客様がSTに直接提供する、および / またはSTのウェブサイトでのお客様の行動を通じて提供する個人データを、個人情報保護方針に従って利用します。お客様の個人データは、ヨーロッパ連合域内および同連合域外の国にあるSTの現地関連会社および販売代理店に提供されることになります。STの現地関連会社および販売代理店の一覧は、当社のウェブサイトの個人情報保護方針で確認することができます。特定のターゲット・マーケティング資料をお客様にお送りするために、お客様がSTに対して直接および / またはSTウェブサイトでのお客様の行動を通じて提供する情報は、STが別な状況(例えばお客様がST、STの現地関連会社または販売代理店と取引関係を結ぶ場合など)でお客様から取得した他の情報と統合される場合もあります。


Raphael Apfeldorfer

Raphael Apfeldorfer is responsible for Artificial Intelligence Marketing at ST. Focusing on innovation in digital transformations, he has 20 years’ experience in Telecom and IoT industry, from broadband to LPWAN connectivity, security and low-power applications.


Francois de Rochebouet

François de Roucheboet computer, electronics and robotics engineer. He has been working for 20 years in the start-up industry. Cartesiam is the fourth start-up he co-founded. He currently leads the R&D team.