Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining retraining predictive models. One of the methods includes maintaining, by a computer system of an enterprise, one or more predictive models. The computer system receives operational data and uses each of the one or more predictive models to generate predictions using the received operational data. An indication of a systemic change in the computer system is received. The method includes determining that one or more retraining rules specify that at least one of the one or more predictive models should be retrained due to the systemic change, and in response, obtaining updated training data and retraining the predictive model using the updated training data.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method comprising: maintaining, by a computer system of an enterprise, one or more predictive models, wherein the computer system receives operational data and uses each of the one or more predictive models to generate predictions using the received operational data; receiving an indication of a systemic change in the computer system; determining that one or more retraining rules specify that at least one of the one or more predictive models should be retrained due to the systemic change; and in response, obtaining updated training data and retraining the predictive model using the updated training data. 2. The method of claim 1, wherein the systemic change comprises a change to data governance policies of the enterprise. 3. The method of claim 2, wherein data governance policies of the enterprise comprise data definitions, data quality standards, and processes for data management. 4. The method of claim 1, wherein the systemic change comprises a change to business data associated with the received operational data. 5. The method of claim 1, wherein the systemic change comprises a change in the computer system exclusive of the received operational data. 6. The method of claim 1, further comprising determining whether a performance of the retrained predictive model satisfies a threshold. 7. The method of claim 6, wherein the performance of the retrained predictive model does not satisfy the threshold, the method further comprising updating the one or more retraining rules. 8. The method of claim 1, wherein retraining the predictive model using the updated training data comprises partially retraining the predictive model and assessing a performance of the partially retrained predictive model. 9. The method of claim 1, wherein obtaining updated training data comprises gathering new training examples from operational data that has changed from previously received operational data. 10. A computer-implemented method comprising: maintaining, by a computer system of an enterprise, one or more predictive models, wherein the computer system uses each of the one or more predictive models to generate predictions using received operational data; receiving an indication of a change in the operational data; computing a measure of impact of the change in the operational data; determining that one or more retraining rules specify that at least one of the one or more predictive models should be retrained due to the measure of impact of the change in the operational data; and in response, obtaining updated training data and retraining the predictive model using the updated training data. 11. The method of claim 10, wherein computing the measure of impact of the change in the operational data is based on one or more changes to values of features of the operational data, the method further comprising receiving updated operational data and comparing the updated operational data to previous training data on which the one or more predictive models had been trained. 12. The method of claim 11, further comprising updating the one or more retraining rules, based on the measure of impact of the change in the operational data. 13. The method of claim 10, further comprising determining whether a performance of the retrained predictive model satisfies a threshold. 14. The method of claim 13, wherein the performance of the retrained predictive model does not satisfy the threshold, the method further comprising updating the one or more retraining rules. 15. The method of claim 10, wherein retraining the predictive model using the updated training data comprises partially retraining the predictive model and assessing a performance of the partially retrained predictive model. 16. The method of claim 10, wherein obtaining updated training data comprises gathering new training examples from operational data that has changed from previously received operational data. 17. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: maintaining, by a computer system of an enterprise, one or more predictive models, wherein the computer system receives operational data and uses each of the one or more predictive models to generate predictions using the received operational data; receiving an indication of a systemic change in the computer system; determining that one or more retraining rules specify that at least one of the one or more predictive models should be retrained due to the systemic change; and in response, obtaining updated training data and retraining the predictive model using the updated training data. 18. The computer program product of claim 17, the operations further comprising determining whether a performance of the retrained predictive model satisfies a threshold, wherein the performance of the retrained predictive model does not satisfy the threshold, the operations further comprise updating the one or more retraining rules. 19. The computer program product of claim 17, wherein retraining the predictive model using the updated training data comprises partially retraining the predictive model and assessing a performance of the partially retrained predictive model. 20. The computer program product of claim 17, wherein obtaining updated training data comprises gathering new training examples from operational data that has changed from previously received operational data.