The 2nd SM4RTENANCE Deep Dive will focus on predictive maintenance for milling machines using Data Spaces.

Predictive maintenance (PdM) analyzes machine data to optimize part and asset lifecycles, aiming to remove guesswork from maintenance scheduling. While many companies have piloted PdM, scaling it across operations remains a challenge. Achieving the SM4RTENANCE goal of autonomous, self-healing assets will require ongoing improvements in both data space services and data-sharing practices.

These bi-monthly events explore the business and technical applications of Data Spaces in manufacturing.

Register in this link: DFA 2nd SM4RTENANCE Deep Dive