Accenture Global Solutions Assigned Two Patents

Prescriptive analytics based storage class placement stack for cloud computing
Accenture Global Solutions Limited, Dublin, Ireland, has been assigned a patent (10,742,567) developed by Srinivasan, Madhan Kumar, Bangalore, India, Purushothaman, Arun, Chennai, India, Pv, Guruprasad, and Kolachalam, Manish Sharma, Bangalore, India, for “prescriptive analytics based storage class placement stack for cloud computing.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”A multi-layer storage class placement stack may generate a token containing storage class placement prescriptions for controlling the placement of stored items within a selection of classes for storage. An input layer of the storage class placement stack may generate time-collated activity data based on historical access data, volume metric data, and/or tagging data. The time-collated activity data may include data groupings using timestamps or other timing indicators. A transformation layer may further process the time-collated activity data to generate defined-period summation data that provides summary detail for defined durations across a period of analysis. The defined-period summation data may be used by a prescriptive engine layer to generate prescriptions for placement of individual stored items by associating the prescriptions with storage identifiers for the individual items. Using the prescriptions, the prescriptive engine layer may generate the token to send to a host interface for management of the stored items.”

The patent application was filed on December 13, 2018 (16/219,435).

Biometric data combination engine
Accenture Global Solutions Limited, Dublin, Ireland, has been assigned a patent (10,740,335) developed by Juveneton, Florian, Lyon, France, for a “biometric data combination engine.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: ”Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for combining biometric data are disclosed. In one aspect, a method includes the actions of accessing one or more synthetic biometric data samples. The actions further include identifying data that indicates characteristics of each of the one or more biometric data samples and data that indicates a quality score of each of the one or more biometric data samples. The actions further include identifying target parameters of a synthetic biometric database. The actions further include comparing the target parameters of the synthetic biometric database to the characteristics of each of the one or more biometric data samples and to the quality score of each of the one or more biometric data samples. The actions further include selecting, for the synthetic biometric database, a subset of the synthetic biometric data samples.”

The patent application was filed on January 17, 2017 (15/407,447).