Import, identification and assignment of incoming data is done continuously and automatically. Different technologies such as native executable, scripts, Java, Scala, Python, Mathematica notebooks, MatLab Runtime, etc. are supported. Incoming data can be linked to various algorithms based on meta information tags of your data.
By connecting your data with your algorithms in one platform, you create the possibility to evaluate and analyze your process and production data automatically. Drift and outlier detection are automatically recognized.
The results can be visualized in TIG authentig's monitoring module, where they can be further filtered and highlighted with conditional formatting. In combination with the workflow server of TIG authentig, you can store rule sets and notify users via TIG ShopfloorApp, eMail, Microsoft Teams, WeChat and Telegram.