Abstract: Systems and methods are provided for providing a zero touch operations and self-healing data platform. Initially, data corresponding to a mobile communications network is received from a plurality of sources. A machine learning model is trained to detect anomalies corresponding to the data. Upon detecting an anomaly, self-remediation is initiated. Upon determining the self-remediation exceeds a configurable number of attempts or duration, an action is automatically performed. In various aspects, the action includes automatically initiating an alert corresponding to the anomaly or automatically creating a ticket corresponding to the anomaly.