Abstract: A system and method for automated personalized financial planning is disclosed. The financial planning system includes a data receiving module for receiving a data input of at least one user account, a target information from the user. A manager module manages the data input. Further in, a machine-learning based prediction module derive learning from the data input for predicting a cashflow information. The financial planning system includes a planning module generating a financial plan based on the data input comprising of recommendation for achieving the target information.

Abstract: A system monitors a batch process performed locally or remotely by reading output logs of the batch process during and after execution of the batch process. The system determines a baseline execution duration for the batch process based on previous runs of the batch process on a set of data. Subsequent runs of the batch process are monitored by reading an output log file while the batch process is executing. A buffer time, corresponding to a time range, is added to the baseline execution duration to produce an alert threshold. The system generates alerts and sends the alerts to a messaging system in response to the current execution duration exceeding the alert time.