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      Some of the information you provide in the above documentation request form is Personal Data. We inform you that this data is processed by CARL Software and that it is subject to our personal data protection policy. In the context of sending the form, your Data will be used for commercial contact purposes by CARL Software, to send you the information you have requested, or more generally information about our events, products or services. They will be kept for a period of 3 years from their collection and are intended for the commercial and communication teams of CARL Software. By contacting us via this form, you consent to the use and storage of your personal data for the purposes and duration mentioned above. In accordance with the applicable regulations, you have a right of access, rectification, portability, erasure of your personal data and a right to request a limitation of the treatment carried out. These rights and their implementation are detailed in personal data protection policy.

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    How does Artificial Intelligence in CMMS contribute to improving equipment reliability?

    Artificial Intelligence in CMMS improves equipment reliability by detecting signs of deterioration at an early stage, predicting potential breakdowns, and recommending targeted preventive maintenance work. This proactive approach keeps equipment in optimum condition, reducing unexpected breakdowns and extending its lifespan.

    AI can be useful for all types of maintenance, including :

    • Predictive maintenance (anticipating breakdowns before they occur).
    • Conditional maintenance (based on the actual condition of the equipment).
    • Optimized preventive maintenance (planned at regular intervals).

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