Abstract: Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Abstract: Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Abstract: A computer-implemented for preparing a customer invoice using a computing system including at least one processor communicatively coupled to a memory device is provided. The method includes (i) receiving a batch file of usage data on a first schedule, wherein the first schedule repeats a plurality of times before a billing cycle ends, (ii) identifying a first set of usage events having a first characteristic, wherein the first characteristic requires that a per usage rule be applied to each of the first set, (iii) retrieving the first per usage rule from a memory device, (iv) applying the retrieved first per usage rule to each of the first set to generate modified usage events in accordance with the first schedule, (v) aggregating the modified usage events, and (vi) storing the aggregated modified usage events in the memory device in accordance with the first schedule for retrieval when the billing cycle ends.

Abstract: A computer-implemented for preparing a customer invoice using a computing system including at least one processor communicatively coupled to a memory device is provided. The method includes (i) receiving a batch file of usage data on a first schedule, wherein the first schedule repeats a plurality of times before a billing cycle ends, (ii) identifying a first set of usage events having a first characteristic, wherein the first characteristic requires that a per usage rule be applied to each of the first set, (iii) retrieving the first per usage rule from a memory device, (iv) applying the retrieved first per usage rule to each of the first set to generate modified usage events in accordance with the first schedule, (v) aggregating the modified usage events, and (vi) storing the aggregated modified usage events in the memory device in accordance with the first schedule for retrieval when the billing cycle ends.