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公开(公告)号：US20240111750A1
公开(公告)日：2024-04-04
申请号：US17959528
申请日：2022-10-04
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Edmond J. Abrahamian , Ana Armenta , Andrew Campbell , Jean Luo , Elijah Hall , Prince Paulraj
IPC: G06F16/23
CPC classification number: G06F16/23
Abstract: A processing system may obtain a request to add at least a first feature to a feature graph database, where the request comprises a first feature ontology of the first feature, and where the first feature ontology comprises: a label of the first feature and a relationship of the first feature to a concept or to another feature. The processing system may then identify whether the first feature is a duplicate of a second feature in the feature graph database based at least upon the first feature ontology and a second feature ontology of the second feature and generate an indication of whether the first feature is a duplicate in response to the identifying.
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公开(公告)号：US20240064063A1
公开(公告)日：2024-02-22
申请号：US17892569
申请日：2022-08-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Elijah Hall , Ana Armenta , Prince Paulraj
CPC classification number: H04L41/12 , G06K9/6269 , G06K9/6215
Abstract: A processing system may obtain a feature vector for a relationship between first and second user identities within a telecommunication network, the feature vector including: a first number of communications from the first user identity to the second user identity for a first communication channel, a first volume associated with the first number of communications, a second number of communications from the second user identity to the first user identity for the first communication channel, and a second volume associated with the second number of communications. The processing system may then calculate a scaled distance between the feature vector and a centroid comprising a mean vector of a set of relationships between user identities within the telecommunication network, where the scaled distance is associated to a trust value, and perform at least one remedial action in the telecommunication network based on the trust value.
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公开(公告)号：US20230164150A1
公开(公告)日：2023-05-25
申请号：US17456520
申请日：2021-11-24
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Edmond J. Abrahamian , Andrew Campbell , Ana Armenta , Prince Paulraj
IPC: H04L29/06
CPC classification number: H04L63/1416
Abstract: Anomalies associated with events relating to users or user accounts can be detected. An anomaly detection management component (ADMC) determines embedded arrays comprising data bit groups representative of groups of properties and groups of relationships between properties associated with users, based on analysis of data related to events associated with users. ADMC trains a neural network (NN) based on applying embedded arrays to NN, in accordance with an artificial intelligence (AI) analysis process. ADMC determines an embedded array comprising data bits representative of properties and relationships between properties associated with a user based on analysis of data associated with the user. Trained NN can determine a pattern relating to the properties and relationships associated with the user based on AI-based analysis of the embedded array. Trained NN can detect an anomaly in the pattern based on AI-based analysis of the pattern, wherein the anomaly relates to an event.
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公开(公告)号：US11625379B2
公开(公告)日：2023-04-11
申请号：US16782754
申请日：2020-02-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Prince Paulraj , Shilpi Harpavat , Weiping Liu , Shreyash Taywade , Arjun Coimbatore Nagarasan , Yukun Zeng , Prabhu Gururaj
IPC: G06F7/00 , G06F16/22 , G06N20/00 , G06Q40/02 , G06Q30/0201 , G06Q30/016 , G06N5/04
Abstract: In another example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include acquiring a plurality of data items from a plurality of data sources, wherein the at least two data sources data sources of the plurality of data sources are maintained by different entities, normalizing attributes of the plurality of data items, using a first machine learning technique, matching at least two data items of the plurality of data items to form a grouping, wherein the matching is based on similarities observed in the attributes of the at least two data items subsequent to the normalizing, and creating a single profile for an individual associated with the at least two data items, based on the grouping, wherein the single profile consolidates the attributes of the at least two data items.
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15.发明申请公开(公告)号：US20230092557A1
公开(公告)日：2023-03-23
申请号：US17480170
申请日：2021-09-21
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Maisam Shahid Wasti , Sai Sharath Japa , Ana Armenta , Prince Paulraj
Abstract: Aspects of the subject disclosure may include, for example, monitoring a first activity undertaken by a communication device during a first communication session, generating, based on the monitoring, first data that indicates an amount of time that is spent on the first activity, comparing, based on the generating, the first data to a threshold, and identifying, based on at least the comparing, an action to take when the amount of time that is spent on the first activity exceeds the threshold. Other embodiments are disclosed.
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Patent Agency Ranking
公开(公告)号：US20220327401A1
公开(公告)日：2022-10-13
申请号：US17225629
申请日：2021-04-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Joshua Whitney , Edmond J. Abrahamian , Prince Paulraj
Abstract: The described technology is generally directed towards a machine learning feature recommender, for use in connection with a feature store. By collecting data and recommending machine learning features to users based on collected data, embodiments can facilitate data scientists' discovery of features that have been used by their colleagues and that are likely to make their machine learning models more performant. The disclosed machine learning feature recommender can reduce the effort involved in developing machine learning models.
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公开(公告)号：US20220318194A1
公开(公告)日：2022-10-06
申请号：US17220260
申请日：2021-04-01
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Paul Ireifej , Mohammad Omar Khalid Mirza , Prince Paulraj , Heather Wighton , Christopher Kim , Stephen Grandinetti , Mger Babayan
Abstract: Aspects of the subject disclosure may include, for example, receiving input data via a transformation UI, generating transformation configuration data, causing the transformation UI to present transformation object data per the transformation configuration data, where the transformation object data identifies data objects each including an input and output field name and a data type, detecting, from the transformation UI, an instruction defining a mapping for the input data, including a modification to the output field name of a data object such that the input field name of the data object is mapped to the modified output field name, based on the detecting the instruction, modifying the first transformation configuration data per the mapping to derive second transformation configuration data, performing a transformation of the input data based on the second transformation configuration data, and causing the transformation UI to present a transformation output. Other embodiments are disclosed.
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公开(公告)号：US12301425B2
公开(公告)日：2025-05-13
申请号：US17892569
申请日：2022-08-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Elijah Hall , Ana Armenta , Prince Paulraj
IPC: H04L41/12 , G06F18/22 , G06F18/2411
Abstract: A processing system may obtain a feature vector for a relationship between first and second user identities within a telecommunication network, the feature vector including: a first number of communications from the first user identity to the second user identity for a first communication channel, a first volume associated with the first number of communications, a second number of communications from the second user identity to the first user identity for the first communication channel, and a second volume associated with the second number of communications. The processing system may then calculate a scaled distance between the feature vector and a centroid comprising a mean vector of a set of relationships between user identities within the telecommunication network, where the scaled distance is associated to a trust value, and perform at least one remedial action in the telecommunication network based on the trust value.
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公开(公告)号：US20250133167A1
公开(公告)日：2025-04-24
申请号：US19007305
申请日：2024-12-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Surya Murali , Edmond J. Abrahamian , Ana Armenta , Prince Paulraj , Elijah Hall
Abstract: A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.
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公开(公告)号：US20240311340A1
公开(公告)日：2024-09-19
申请号：US18676675
申请日：2024-05-29
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Paul Ireifej , Mohammad Omar Khalid Mirza , Prince Paulraj , Heather Wighton , Christopher Kim , Stephen Grandinetti , Mger Babayan
CPC classification number: G06F16/168 , G06F16/256 , G06F16/258
Abstract: Aspects of the subject disclosure may include, for example, receiving input data via a transformation UI, generating transformation configuration data, causing the transformation UI to present transformation object data per the transformation configuration data, where the transformation object data identifies data objects each including an input and output field name and a data type, detecting, from the transformation UI, an instruction defining a mapping for the input data, including a modification to the output field name of a data object such that the input field name of the data object is mapped to the modified output field name, based on the detecting the instruction, modifying the first transformation configuration data per the mapping to derive second transformation configuration data, performing a transformation of the input data based on the second transformation configuration data, and causing the transformation UI to present a transformation output. Other embodiments are disclosed.
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