How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers?
The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions.
Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the field, feedback from solutions such as CARL Source and CARL Optim, and the prospects opened up by embedded innovations, initially developed by the BL Research team.
Among the innovations highlighted, the BL.Predict solution, developed in collaboration with the BL Research team. This platform combining AI and IoT illustrates the convergence between data science, predictive maintenance and embedded artificial intelligence.
This white paper also echoes our applied research work around optimizing infrastructure management, intelligent processing of data from the field, and man-machine interfaces adapted to new uses.
A reference document for those who wish to better understand how AI can, today, improve operational performance, reduce costs and prepare the maintenance of tomorrow.
