Abstract: An apparatus includes a memory and a hardware processor. The memory stores one or more scheduling histories. The processor receives a first list from a first client device and a second list from a second client device. The first list includes a first job and the second list includes a second job. The processor calculates a first resource requirement to execute the first job and a second resource requirement to execute the second job. The processor determines that a conflict exists between the first job and the second job and in response, communicates messages to the first and second client devices indicating the conflict and proposed times for executing the jobs. The processor determines based on responses to the messages, execution times for the first and second jobs, assigns permission identifiers to the first and second jobs, and communicates a schedule.

Abstract: Embodiments of the present invention provide a system for executing multiple events in response to receiving an image and extracting identity and contact information from that image. As such, a facial recognition and image hashing process is applied to an image of multiple individuals associated with the multiple events to extract image hashes for each individual. These image hashes are then compared to known, stored image hashes to determine an identity and contact information for each individual. Once this information is collected, the system executes the multiple events based on the determined information about each individual.

Abstract: A computing platform may receive video, audio, and/or biometric information of one or more people. The computing platform may identify the people based on a comparison of the video, audio, and/or biometric information to stored information in one or more user profiles each associated with the people. For example, the computing platform may compare multiple types of biometric information, including fingerprint, retina scan, facial features, and the like, as part of a process for identifying the people. The computing platform may further determine one or more interactions between the people, and, based on the interactions, determine and/or identify a relationship between the people. The identified relationships may further be used for confirming identifies of the people. Based on the identifications (e.g., biometric, video, audio, relationships), the computing platform may further provide access for the people to one or more services.

Abstract: A computer system supports secondary authentication mechanism for authentication of a user, where the computer system may provide a variety of services including financial, scientific, academic, or governmental services. The computer system utilizes a multiphase distributed trust model in which the user is authenticated based on distributed trust of a set of randomly selected trusted contacts from a large set of trusted contacts initially chosen during an enrollment phase. During the authentication phase, a subset of contacts (affirmers) is selected from the contact list. The computer system then provides additional authentication information to each of the affirmers who subsequently share the information with the user. The user then provides this information from the computer system in order to complete the secondary authentication.

Abstract: A computing platform may receive video, audio, and/or biometric information of one or more people. The computing platform may identify the people based on a comparison of the video, audio, and/or biometric information to stored information in one or more user profiles each associated with the people. For example, the computing platform may compare multiple types of biometric information, including fingerprint, retina scan, facial features, and the like, as part of a process for identifying the people. The computing platform may further determine one or more interactions between the people, and, based on the interactions, determine and/or identify a relationship between the people. The identified relationships may further be used for confirming identifies of the people. Based on the identifications (e.g., biometric, video, audio, relationships), the computing platform may further provide access for the people to one or more services.

Abstract: A computer system supports secondary authentication mechanism for authentication of a user, where the computer system may provide a variety of services including financial, scientific, academic, or governmental services. The computer system utilizes a multiphase distributed trust model in which the user is authenticated based on distributed trust of a set of randomly selected trusted contacts from a large set of trusted contacts initially chosen during an enrollment phase. During the authentication phase, a subset of contacts (affirmers) is selected from the contact list. The computer system then provides additional authentication information to each of the affirmers who subsequently share the information with the user. The user then provides this information from the computer system in order to complete the secondary authentication.

Abstract: Method and apparatus for allowing visually impaired users to easily interact with GUI applications is provided. The method and apparatus may utilize a directed graph of the GUI and a language model to describe the GUI in a brief but concise and descriptive manner.

Abstract: Embodiments of the present invention provide a system for executing multiple events in response to receiving an image and extracting identity and contact information from that image. As such, a facial recognition and image hashing process is applied to an image of multiple individuals associated with the multiple events to extract image hashes for each individual. These image hashes are then compared to known, stored image hashes to determine an identity and contact information for each individual. Once this information is collected, the system executes the multiple events based on the determined information about each individual.

Abstract: A method comprises creating a word vector from a message, wherein the word vector comprises an entry for each word of a plurality of words, and wherein each word of the plurality of words is assigned a weight. The method further comprises calculating a value for the word vector based on each entry of the word vector and the weights assigned to the plurality of words, and identifying that the message belongs to a first group by comparing the value for the word vector to a threshold. The word vector comprises an entry for each word of a plurality of words, and wherein each word of the plurality of words is assigned a weight.

Abstract: Apparatus and methods for protecting biometric authentication information associated with a paper document are provided. A mobile device application may pre-associate the document with a biometric input. The mobile device application may generate a first composite hash value based on a combination of a numerical representation of a first image of the paper document and a numerical representation of a first biometric input. Subsequently, an authentication server may generate a second composite hash value based on a combination of a numerical representation of a second image of the paper document and a numerical representation of a second biometric input. The authentication server may determine whether an edit distance separating the second composite hash value and the first composite hash value is less than a threshold distance. If the edit distance is less than a threshold distance, the paper document may be authenticated.

Abstract: Aspects of the disclosure relate to computing systems for receiving user requests through channels of a webpage and performing computational functions corresponding to the user requests. In one embodiment, a computing platform may detect a change corresponding to input parameters for performing a user request through a first representation of a webpage. The computing platform may update, based on the detected change corresponding to the input parameters, a natural language processing application associated with a second representation of the webpage. The computing platform may generate, based on the updated natural language processing application associated with the second representation of the webpage, a logical table including one or more questions to ask a user through the second representation of the webpage in response to one or more user inputs.

Abstract: Method and apparatus for allowing visually impaired users to easily interact with GUI applications is provided. The method and apparatus may utilize a directed graph of the GUI and a language model to describe the GUI in a brief but concise and descriptive manner.

Abstract: A computing platform having at least one processor, a memory, and a communication interface may receive, via the communication interface, a first content stream containing status information associated with a customer session. Responsive to receiving the first content stream, the computing platform may generate a feedback request, which is transmitted via the communication interface to a remote client device, causing the feedback request to be displayed on the remote client device. The computing platform may receive, via the communication interface, a second content stream containing information received from the remote client device in response to the feedback request. Responsive to receiving the second content stream, the computing platform may generate and transmit advice via the communication interface to the remote client device, causing the advice to be displayed on the remote client device.

Abstract: A computing platform may receive video, audio, and/or biometric information of one or more people. The computing platform may identify the people based on a comparison of the video, audio, and/or biometric information to stored information in one or more user profiles each associated with the people. For example, the computing platform may compare multiple types of biometric information, including fingerprint, retina scan, facial features, and the like, as part of a process for identifying the people. The computing platform may further determine one or more interactions between the people, and, based on the interactions, determine and/or identify a relationship between the people. The identified relationships may further be used for confirming identifies of the people. Based on the identifications (e.g., biometric, video, audio, relationships), the computing platform may further provide access for the people to one or more services.

Abstract: A data aggregator includes a memory, a network interface, a vectorization engine, and an aggregator. The memory stores a plurality of aggregation rules. The network interface retrieves a plurality of transactions that includes a first transaction and a second transaction. The vectorization engine determines a first transaction vector for the first transaction and a second transaction vector for the second transaction. The aggregator determines that the first transaction occurred during a first life event and that the second transaction occurred during a second life event. The aggregator also determines that the first life event and the second life event are the same and in response to that determination, assigns the first transaction and the second transaction to a cluster for the first life event. The aggregator further stores the first life event, the second life event, and an identifier for the cluster to the database.

Abstract: Aspects of the disclosure relate to using natural language processing to identify a context of failure associated with a channel error and analyzing the identified context of failure in relation to historic data by machine learning algorithms to identify one or more of a severity ranking, alternate channel, and solution for the channel error. In some instances, a computing platform may receive data corresponding to a system event associated with a channel of server infrastructure, identify a technical issue, customer intent, and customer sentiment of the system event, determine a context of failure of the system event, generate a mapping of the context of failure in relation to historic data, and identify a suggested solution, severity assignment, and alternate channel for the system event based on the mapping of the context of failure in relation to the historic data.

Abstract: Some aspects disclosed herein are directed to, for example, a system and method of receiving, by a computing device, a transcript comprising a plurality of words. The computing device may generate a modified transcript by removing one or more stop words or one or more commonly occurring words from the plurality of words in the transcript. The computing device may also determine, based on one or more words in the modified transcript, a topic for the transcript. Based on the topic for the transcript, a polarity for the transcript may be determined. Based on the polarity for the transcript, a training program to recommend may be determined.

Abstract: A method comprises creating a word vector from a message, wherein the word vector comprises an entry for each word of a plurality of words, and wherein each word of the plurality of words is assigned a weight. The method further comprises calculating a value for the word vector based on each entry of the word vector and the weights assigned to the plurality of words, and identifying that the message belongs to a first group by comparing the value for the word vector to a threshold. The word vector comprises an entry for each word of a plurality of words, and wherein each word of the plurality of words is assigned a weight.

Abstract: A method comprises creating a word vector from a message, wherein the word vector comprises creating a word vector from a message stored in a database, wherein the word vector comprises an entry for each word of the plurality of words and each entry indicating a number of occurrences in the message of the word for that entry. The method further comprising calculating a cosine difference between the word vector and each group vector of a plurality of group vectors and assigning the word vector to a group for a group vector of the plurality of group vectors based on the calculated cosine difference between the word vector and the group vector for the group. The method may also comprise reformatting the message to include a phrase and assigning the phrase to the same group that the word vector is assigned to. The method may also comprise notifying the user.

Abstract: A computer system supports secondary authentication mechanism for authentication of a user, where the computer system may provide a variety of services including financial, scientific, academic, or governmental services. The computer system utilizes a multiphase distributed trust model in which the user is authenticated based on distributed trust of a set of randomly selected trusted contacts from a large set of trusted contacts initially chosen during an enrollment phase. During the authentication phase, a subset of contacts (affirmers) is selected from the contact list. The computer system then provides additional authentication information to each of the affirmers who subsequently share the information with the user. The user then provides this information from the computer system in order to complete the secondary authentication.