
Tag: BL.Predict


Airflow: feedback on BL.Predict and Foundation use cases
Introduction In a context where the automation of data workflows has become a fundamental pillar of project reliability and scalability,

Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”
Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the

Success Story BL.Predict x Saint Jean: challenges and benefits of switching from corrective to preventive maintenance
Success Story BL.Predict x Saint Jean! The objective? Optimize the maintenance of its fresh pasta production! Production line availability, data

Automate the discovery of anomalous behaviour with unsupervised anomaly detection
Unsupervised anomaly detection makes it possible to automate tasks relating to the maintenance of equipment and infrastructure, which until now

JT “Data management in industrial environments” x Axelerea (Solaize)

BL.Predict New architecture: more security, confidentiality, availability and performance!
In the constantly evolving field of the Internet of Things, BL.Predict is continually striving to push back the boundaries to

Webinar IA x Maintenance: Explore the benefits of AI applied to CMMS!
Discover our new Webinar: Explore the benefits of AI applied to CMMS! On Thursday, September 19 – 10:30 am to

