Our innovation and development teams are working hard to extend the advanced AI and machine learning at the core of the platform. It is our vision for the platform to be used for data collection, insights and anomaly detection through machine learning. However, we plan to abstract the platform from telemetry data to allow customers with a mature IoT data platform to use our extensive AI and ML platform to provide insights and anomaly detection with existing data sources.
Deploy selected unsupervised machine learning model for anomaly detection on data sources.
Ability to provide assign role based access control (RBAC) across assets to provide customers with granular authorisation.
Interact with the data sources to label your anomalies in MAIO
Deploy supervised machine learning model for anomaly detection on data sources,
Train your own ML model for anomaly-detection on data sources,
Use natural language processing to interact with MAIO