Patents by Inventor James DelloStritto
James DelloStritto has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11928634Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: GrantFiled: September 7, 2022Date of Patent: March 12, 2024Assignee: Verint Americas Inc.Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Patent number: 11842311Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: GrantFiled: May 16, 2022Date of Patent: December 12, 2023Assignee: Verint Americas Inc.Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Patent number: 11842312Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: GrantFiled: May 16, 2022Date of Patent: December 12, 2023Assignee: Verint Americas Inc.Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Publication number: 20230004891Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: ApplicationFiled: September 7, 2022Publication date: January 5, 2023Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Publication number: 20220405660Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: ApplicationFiled: May 16, 2022Publication date: December 22, 2022Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Publication number: 20220351099Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: ApplicationFiled: May 16, 2022Publication date: November 3, 2022Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Publication number: 20220232122Abstract: An architecture for assessing and identifying fraudulent contact with client contact systems, such as IVR, includes threshold and machine learning scoring and filtering of calls based on these criteria. The criteria may include behavioral, situational and reputational scoring.Type: ApplicationFiled: January 31, 2022Publication date: July 21, 2022Inventors: James DelloStritto, Joshua Tindal Gray, Ryan Thomas Schneider, Wade Walker Ezell, Ajay Pandit
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Patent number: 11334832Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: GrantFiled: October 1, 2019Date of Patent: May 17, 2022Assignee: Verint Americas Inc.Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Patent number: 11240372Abstract: An architecture for assessing and identifying fraudulent contact with client contact systems, such as IVR, includes threshold and machine learning scoring and filtering of calls based on these criteria. The criteria may include behavioral, situational and reputational scoring.Type: GrantFiled: January 4, 2021Date of Patent: February 1, 2022Assignee: VERINT AMERICAS INC.Inventors: James DelloStritto, Joshua Tindal Gray, Ryan Thomas Schneider, Wade Walker Ezell, Ajay Pandit
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Publication number: 20210195018Abstract: An architecture for assessing and identifying fraudulent contact with client contact systems, such as IVR, includes threshold and machine learning scoring and filtering of calls based on these criteria. The criteria may include behavioral, situational and reputational scoring.Type: ApplicationFiled: January 4, 2021Publication date: June 24, 2021Inventors: James DelloStritto, Joshua Tindal Gray, Ryan Thomas Schneider, Wade Walker Ezell, Ajay Pandit
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Patent number: 10887452Abstract: An architecture for assessing and identifying fraudulent contact with client contact systems, such as IVR, includes threshold and machine learning scoring and filtering of calls based on these criteria. The criteria may include behavioral, situational and reputational scoring.Type: GrantFiled: October 23, 2019Date of Patent: January 5, 2021Assignee: VERINT AMERICAS INC.Inventors: James DelloStritto, Joshua Tindal Gray, Ryan Thomas Schneider, Wade Walker Ezell, Ajay Pandit
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Patent number: 10848579Abstract: Systems and methods directed to intelligent network communication and engagement during interaction with a consumer device. The progress of the consumer/consumer device can be tracked during interaction to make a decision to intervene based on one or more factors. The intervention may include invoking an appropriate, personalized request to the consumer for support. A consumer device can be employed to shop for a product via a mobile application provided by a retailer. For example, if the client has placed an item in a shopping cart, but does not completed the transaction, the context service can track events associated with the interaction and using an analysis service, and determine an appropriate time and/or manner to communicatively engage the user. As such, the context service can mimic a brick and mortar sales experience where sales associates determine the appropriate time to interact with a client who appears confused.Type: GrantFiled: August 27, 2018Date of Patent: November 24, 2020Assignee: VERINT AMERICAS INC.Inventors: Ryan Schneider, James DelloStritto, Sameer Siddiqui
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Publication number: 20200134521Abstract: Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt statistical properties of count data in a novel algorithm to uncover records exhibiting high risk for fraud. Our method identifies shelves, partitioning data under the counts using a Student's t-distribution. We apply this methodology on a univariate dataset including cumulative results from phone calls to a customer service center. Additionally, we extend this technique to multivariate data, illustrating that the same method is applicable to both univariate and multivariate data.Type: ApplicationFiled: October 1, 2019Publication date: April 30, 2020Inventors: Joseph Wayne Dumoulin, Cynthia Freeman, James DelloStritto
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Publication number: 20200137221Abstract: An architecture for assessing and identifying fraudulent contact with client contact systems, such as IVR, includes threshold and machine learning scoring and filtering of calls based on these criteria. The criteria may include behavioral, situational and reputational scoring.Type: ApplicationFiled: October 23, 2019Publication date: April 30, 2020Inventors: James DelloStritto, Joshua Tindal Gray, Ryan Thomas Schneider, Wade Walker Ezell, Ajay Pandit
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Publication number: 20190068728Abstract: Systems and methods directed to intelligent network communication and engagement during interaction with a consumer device. The progress of the consumer/consumer device can be tracked during interaction to make a decision to intervene based on one or more factors. The intervention may include invoking an appropriate, personalized request to the consumer for support. A consumer device can be employed to shop for a product via a mobile application provided by a retailer. For example, if the client has placed an item in a shopping cart, but does not completed the transaction, the context service can track events associated with the interaction and using an analysis service, and determine an appropriate time and/or manner to communicatively engage the user. As such, the context service can mimic a brick and mortar sales experience where sales associates determine the appropriate time to interact with a client who appears confused.Type: ApplicationFiled: August 27, 2018Publication date: February 28, 2019Inventors: Ryan Schneider, James DelloStritto, Sameer Siddiqui
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Publication number: 20080082683Abstract: A communications protocol interface may be configured as being divisible into a core portion and an extensible portion. The extensible portion of the communications protocol interface may be further configured so that each network element can communicate a unique and optimally small subset of actual interoperable data that corresponds to at least a portion of a larger defined data set. A software generator program may be configured to generate a set of extensible source code that operates upon the subset of actual data and that directs the execution of the extensible portion of the communications protocol interface for a particular network element.Type: ApplicationFiled: October 4, 2007Publication date: April 3, 2008Applicant: Welch Allyn, Inc.Inventors: James DelloStritto, Ronald Blaszak, Chad Craw, Cory Gondek, Frank LoMascolo, Eric Petersen, Kenneth West, Albert Goldfain, Mahesh Narayan, Song Chung