Abstract: A communications system according to certain embodiments includes a mobile device and a second type of communications system, such as a landline telephone system, that share usage information. The shared information can include call logs of in-coming and out-going calls, missed calls, text messages, address book information, GPS data, internet browsing data, and the like.

Abstract: Assigning contacts in a contact center including extracting, by a blend application, contextual information related to an inbound contact received at a first port and transmitting, by the blend application, the contextual information to an outbound dialer. The outbound dialer places an outbound call from a second port to the first port, automatically patches the second port with a third port that is associated with an agent assigned to an outbound campaign, and connects a customer device associated with the inbound contact to a device associated with the agent, during which the agent remains assigned to the outbound campaign.

Abstract: Systems and methods are provided for processing and distributing market data. Critical data, such as data showing that a market price has changed is distributed without further delay. When the market data does not result in a change in a market price or does not meet another critical criteria, the market data is aggregated with market data for similar events and distributed when the aggregated market data passes a quantity threshold.

Abstract: Versions of a service not reachable by a set of service requestors that use the service are removed. Multiple, different versions of a service are stored, along with metadata associated with the multiple, different versions of the service. The metadata is examined to determine one or more of the multiple, different versions of the service that are not reachable by the set of service requestors that use the service. Those versions are deleted.

Abstract: Aspects of the disclosure relate to admission control of a communication session in a network. The admission control can be implemented by a network node at the boundary of the network or a subsystem thereof. In one aspect, the admission control can be implemented during a predetermined period and can be based at least on an admission criterion, which can be specific to an end-point device, e.g., a target device or an origination device. The admission criterion can be configurable and, in certain implementations, it can be obtained from historical performance associated with establishment of communication session. Such historical performance can be assessed within a period of a configurable span.

Abstract: The technology disclosed herein enables the use of adaptive durations when alerting users about communication session requests. In a particular embodiment, a method provides identifying a first request to establish a first communication session with a first endpoint and determining a first duration for alerting a first user of the first endpoint about the first request based on information about the first request. The method further provides alerting the first user about the first request in accordance with the first duration.

Abstract: Techniques for data matching in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for data matching in a contact center system comprising determining, by at least one computer processor communicatively coupled to and configured to operate in the contact center system, an interaction event time associated with a historical contact interaction; determining, by the at least one computer processor, an outcome event time associated with a historical contact interaction outcome; analyzing, by the at least one computer processor, the interaction event time and the outcome event time to determine a correlation; and matching, by the at least one computer processor, the historical contact interaction with the historical contact interaction outcome based on the correlation.

Abstract: A system for prioritizing fraud cases includes a processing circuit and a network interface structured to receive fraud cases having transaction data and an initial priority score. The processing circuit is structured to determine an updated priority score for each fraud case based on case prioritization data comprising rules developed using a machine learning model, initiate an action for each fraud case based on the updated priority score, where the action comprises assembling a first group of the fraud cases in a single database and taking an action on a second group of the fraud cases, assign the first group to a computing terminal associated with a fraud agent, receive an input from the computing terminal regarding a disposition of the first group of fraud cases, update the model based on the input and the transaction data, and restructure the case prioritization data based on the updated model.

Abstract: Techniques for managing redundant or overlapping access rules are provided. Access rules are determined for evaluation. Performance metrics for the access rules prior to implementation and post implementation are determined. Overlapping access rules are identified. Performance of the overlapping access rules are evaluated to determine actions to be applied to the overlapping access rules. Recommended actions and adjustments can be automatically provided by the system based on the performance analysis.

Abstract: A network access credential can be shared among devices based on location information for a device. Location information can include timed fingerprint location information. In an aspect, location information can be associated with a location of user equipment. This location information can be correlated with network access credentials. Location information can be used to access a relevant network access credential. The relevant network access credential can be shared with other devices. In an embodiment, sharing a network access credential can be between mobile devices. In another embodiment, sharing a network access credential can be between a remote computing device and a mobile device. Sharing a credential can allow for access to a network without having to generate or input new credentials.

Abstract: Various techniques include identifying impairments in networks, prioritizing the impairments, and prioritizing fixing the impairments to reduce negative impacts on network customers.

Abstract: Examples provide a permission service for controlling service requests to web services. A permission controller monitors the number of active requests to a selected web service. When a permission request associated with the selected web service is received from a client, the permission service compares the current number of active requests to a per-service maximum threshold number of active requests. The permission controller maintains a per-threshold number of active requests customized for each web service. If the current request would exceed the threshold number if granted, the permission controller sends a denial with a random wait time to the client. The client resends the permission request on expiration of the wait time. The permission controller generates a different random wait time for each denial response. If the number of active requests is less than or equal to the threshold, the permission service grants permission to the client.

Abstract: Methods for packet forwarding using vendor extension in a software-defined networking (SDN) system are disclosed. In one embodiment, a method is implemented in an electronic device in a SDN system, where the electronic device serves as a network element. The method includes receiving a packet for forwarding, and determining that the packet matches a flow table entry of a flow table in the network element. The method continues with performing operations on the packet based one or more instructions of the flow table entry, where the one or more instructions contains an experimenter that matches a vendor extension identifier of a vendor extension table of the network element. Additionally, each vendor extension identifier of the vendor extension table identifies a set of function pointers for a set of functions, and the operations include execution of one or more of the set of functions.

Abstract: A method for processing a potentially fraudulent electronic payment transaction includes: receiving a first fraud detection rule configured to identify a potentially fraudulent electronic payment transaction; storing the first fraud detection rule in a fraud rules database; receiving a transaction request message; generating and storing a first case record associated with the first transaction in a case management database; receiving an updated fraud detection rule superseding the first fraud detection rule; applying the updated fraud detection rule to the first transaction to determine whether the first transaction does not satisfy the at least one updated fraud detection rule; and deleting the first case record from the case management database before the first transaction is further analyzed for fraud.

Abstract: A dynamic communication management system manages the exchange of phone-based communications between devices using dynamically determined routing data. The routing for the phone-based communications can be dynamically determined such that certain identifying information is provided to destination devices instead of the identifying information that would be provided without the services of the dynamic communication management system.

Abstract: An end detector configured to receive the feature data and detect an end point of a keyword, and a start detector configured to receive an indication of the detected end point and process the feature data associated with corresponding input frames to detect a start point of the keyword. The start detector and end detector comprise neural networks trained through a process using a cross-entropy cost function for non-Region of Target (ROT) frames and a One-Spike Connectionist Temporal Classification cost function for ROT frames.

Abstract: A classification training system for binary and multi-class classification comprises a neural network operable to perform classification of input data, a training dataset including pre-segmented, labeled training samples, and a classification training module operable to train the neural network using the training dataset. The classification training module includes a forward pass processing module, and a backward pass processing module. The backward pass processing module is operable to determine whether a current frame is in a region of target (ROT), determine ROT information such as beginning and length of the ROT and update weights and biases using a cross-entropy cost function and One Spike Connectionist Temporal Classification (OSCTC) cost function. The backward pass module further computes a soft target value using ROT information and computes a signal output error using the soft target value and network output value.

Abstract: Systems and methods are directed to monitoring the communications to and from a mobile communication device in accordance with one or more embodiments. For example in accordance with an embodiment, data services a mobile communication device's applications may be monitored against smart contracts stored in a central data center repository and/or written to a blockchain. Other data services may include all forms of communications between the mobile communication device and a third party along with changes to application or data within the mobile communication device. Monitoring the mobile communication device may be done to determine compliance with the smart contracts and whether a penalty or reward on device usage should be applied.

Abstract: An acoustic event detection and classification system includes a start-end point detector and multi-class acoustic event classification. A classification training system comprises a neural network configured to perform classification of input data, a training dataset including pre-segmented, labeled training samples, and a classification training module configured to train the neural network using the training dataset. The classification training module includes a forward pass processing module, and a backward pass processing module. The backward pass processing module is configured to determine whether a current frame is in a region of target (ROT), determine ROT information such as beginning and length of the ROT and update weights and biases using a cross-entropy cost function and a many-or-one detection (MOOD) cost function. The backward pass module further computes a soft target value using ROT information and computes a signal output error using the soft target value and network output value.

Abstract: Automated secondary linking can be employed in conjunction with fraud detection systems. According to one embodiment, a system includes a parsing logic configured to receive an incoming fraud report based on a first fraud detection strategy. The parse logic is also configured to parse the incoming fraud report into fraud data. The system further includes a search logic configured to search a set of fraud reports to identify instances of the fraud data. The system also includes an alert logic configured to generate an alert in response to an instance of the fraud data being identified in the set of fraud reports.

Abstract: An apparatus comprising a processor to execute the rule optimizer to perform a number of operations. One operation comprises obtaining 5 log data including a result of detecting an exploit attack based on a rule. Another operation comprises time-series analyzing the obtained log data to update at least some of previously applied detection rules. There is provided an apparatus for automatically optimizing a rule to improve the detection accuracy for an exploit attack in a rule-based attack detection system, and a method performed on the apparatus.

Abstract: A mobile-based control of maintenance and support for an enterprise services device. A mobile application of a mobile device establishes a connection with a network portal that supplies maintenance and support for enterprise services hosted by the enterprise services device. The mobile application also establishes a connection with the enterprise services device. The mobile application presents a user-facing interfaces for controlling maintenance and support operations delivered from the network portal to the enterprises services device. The user-facing interface also provides options for authorizing and facilitating a remote connection from a portal device to the enterprise services device for performing real-time and remote maintenance and support by a service engineer associated with the network portal.

Abstract: A system and method for processing transactions. A unique transaction identifier is generated for each transaction. Processing of the transaction utilizes the unique transaction identifier.

Abstract: Systems and methods are provided for processing and distributing market data. Critical data, such as data showing that a market price has changed is distributed without further delay. When the market data does not result in a change in a market price or does not meet another critical criteria, the market data is aggregated with market data for similar events and distributed when the aggregated market data passes a quantity threshold.

Abstract: A method for detecting user triggered call drops includes identifying one or more user terminated calls from a plurality of monitored calls. Signaling information associated with the identified user terminated calls is correlated with media channel information associated with the identified user terminated calls. A determination is made if termination of the one or more of the identified user terminated calls is related to quality of media across corresponding media channels. A predefined cause code is assigned to the one or more of the identified user terminated calls, in response to determining that the termination of the one or more of the identified user terminated calls is related to the quality of media across the corresponding media channels.

Abstract: A network resource manager is configured to: store a first number of deferrable instances in a record for a first user; store a second number of deferrable instances in a record for a second user; and increase the first number and reduce the second number by an amount when a consideration is transferred from the first user to the second user. The network resource manager is further configured to read in from a deferrable instance a request to transfer program data and/or execution instructions to a computer-based resource of a cloud service provider for execution. If the load on the cloud service provider is high, the manager will transmit a query to the deferrable instance offering to assign an additional deferrable instance to the original deferrable instance if both the original deferrable instance and the additional deferrable instance accept a deferral period for their requests for resources.

Abstract: A communications system according to certain embodiments includes a mobile device and a second type of communications system, such as a landline telephone system, that share usage information. The shared information can include call logs of in-coming and out-going calls, missed calls, text messages, address book information, GPS data, internet browsing data, and the like.

Abstract: A method includes collecting operational data from a system, segregating the data into a first component comprising one or more service quality anomalies and a second component comprising one or more network-based events, correlating the first component and the second component to determine whether the one or more network-based events have an impact on service quality, and prioritizing a resolution of the network-based events that have an impact on service quality.

Abstract: The present invention assists the critical real-time decision making required to make important decision on bidding on various customer procurement commodities in a wireless display advertising markets. The invention provides dynamic pricing as a function of the criteria of the wireless advertising criteria, such as exposures, type of advertisers and geography. In a preferred embodiment, the present invention is a virtual or physical e-commerce application with an interface connected to the wireless advertisement procurement vendors (either the advertising vendor or the wireless telecommunication vendor). A pool of bidders can analyze any tracking data for effective placement in the wireless advertising spaces, such as cell phones, PDAs, or laptops connected to a public or private WAN, based on a number of factors.

Abstract: A system and method for voice based social networking is disclosed. The system receives a voice message (and frequently an image) and ultimately delivers it to one or multiple users, placing it within an ongoing context of conversations. The voice and image may be recorded by various devices and the data transmitted in a variety of formats. An alternative implementation places some system functionality in a mobile device such as a smartphone or wearable device, with the remaining functionality resident in system servers attached to the internet. The system can apply rules to select and limit the voice data flowing to each user; rules prioritize the messages using context information such as user interest and user state. An image is fused to the voice message to form a comment. Additional image or voice annotation (or both) identifying the sender may be attached to the comment. Fused image(s) and voice annotation allow the user to quickly deduce the context of the comment.

Abstract: A network resource manager is configured to read in from a deferrable instance a request to transfer program data and/or execution instructions to a computer-based resource of a cloud service provider for execution. If the load on the cloud service provider is high, the manager will transmit a query to the deferrable instance offering to assign an additional deferrable instance to the original deferrable instance if both the original deferrable instance and the additional deferrable instance accept a deferral period during which neither can make requests for resources.

Abstract: A system and method for generating an agent behavioral analytics including extracting text-based features, sentiment-based features, and prosody-based features from tagged calls; training a machine learning behavioral model, based on the text-based features, the sentiment-based features, and the prosody-based features extracted from the tagged calls and an at least one score associated with an at least one behavioral metric of the tagged calls, to produce a trained machine learning behavioral model; extracting text-based features, sentiment-based features, and prosody-based features from an incoming call; and using the trained machine learning behavioral model to produce an at least one behavioral label for the agent in the incoming call for the at least one behavioral metric, based on the text-based features of the incoming call, the sentiment-based features of the incoming call and the prosody-based features of the incoming call.

Abstract: A telecommunications system for selectively connecting originator nodes to recipient nodes includes an account database with one or more accounts each associated with corresponding ones of the originator nodes and the recipient nodes. There is a contacts database with recipient contact lists each associated with a specific one of the accounts of the recipient nodes. A transaction processor is receptive to an incoming telecommunications initiation request, which includes a recipient node identifier and a nano-transaction payment submission defined at least by a payment amount. The transaction processor responsively directs the establishment of the telecommunications link between the one of the originator nodes and the one of the recipient nodes upon receipt of the telecommunications initiation request. The nano-transaction payment submission is settled based at least in part upon an active duration of the telecommunications link.

Abstract: Exemplary embodiments relate to techniques for facilitating a connection between two users in a call by providing an “answering window” when a user calls. When a caller places a call to a callee, the call invitation may remain open for a window of time during which the caller remains available. The callee may opt to answer the call at any time during the window. During the window, the caller may be placed in a lobby and may share audio and/or video. Accepting the call during the answering window may place the callee in the lobby or may directly convert the interaction into an active call. The callee may request that the window can be altered, or may signal their intention to answer the call at a particular time.

Abstract: A classification training system for binary and multi-class classification comprises a neural network operable to perform classification of input data, a training dataset including pre-segmented, labeled training samples, and a classification training module operable to train the neural network using the training dataset. The classification training module includes a forward pass processing module, and a backward pass processing module. The backward pass processing module is operable to determine whether a current frame is in a region of target (ROT), determine ROT information such as beginning and length of the ROT and update weights and biases using a cross-entropy cost function and connectionist temporal classification cost function. The backward pass module further computes a soft target value using ROT information and computes a signal output error using the soft target value and network output value.

Abstract: Classification training systems and methods include a neural network for classification of input data, a training dataset providing segmented labeled training data, and a classification training module operable to train the neural network using the training data. A forward pass processing module is operable to generate neural network outputs for the training data using weights and bias for the neural network, and a backward pass processing module is operable to update the weights and biases in a backward pass, including obtaining Region of Target (ROT) information from the training data, generate a forward-backward masking based on the ROT information, the forward-backward masking placing at least one restriction on a neural network output path, compute modified forward and backward variables based on the neural network outputs and the forward-backward masking, and update the weights and biases.

Abstract: A classification system and method for training a neural network includes receiving a stream of segmented, labeled training data having a sequence of frames, computing a stream of input features data for the sequence of frames, and generating neural network outputs for the sequence of frames in a forward pass through the training data and in accordance weights and biases. The weights and biases are updated in a backward pass through the training data, including determining Region of Target (ROT) information from the segmented, labeled training data, computing modified forward and backward variables based on the neural network outputs and the ROT information, deriving a signal error for each frame within the sequence of frames based on the modified forward and backward variables, and updating the weights and biases based on the derived signal error. An adaptive learning module is provided to improve a convergence rate of the neural network.

Abstract: A system for sending limited-content message texts to a debtor, where each message comprises a fixed format, comprising an agent's name, which may be an alias, a callback number, and optional suggested times for the recipient to callback the agent. The limited content message texts are sent over a time period during the work schedule of the agent. Upon receiving a voice telephone callback from the recipient, a comparison is performed on the calling party number to ascertain if it matches a called party number of one of the sent limited-content message texts. If matched, then the call is routed to the agent identified in the limited-content message text. If the agent is unavailable, various options for routing the call is identified. The agent is further presented with information indicating the voice telephone call is a callback in response to a previously sent limited-content message text.

Abstract: The present disclosure discloses a method and an apparatus for implementing load sharing. The method includes: for a congested first link on a first forwarding node, selecting, by a network device, a packet flow forwarded by using the first link; selecting a second link that may be used to forward the packet flow and that is not congested after available bandwidth of the second link is occupied by the packet flow, where the second link is a link between the first forwarding node and a second forwarding node; selecting a first hash gene corresponding to the second link; determining that a third link is not in a congested state after available bandwidth of the third link is occupied by the packet flow; and saving the first hash gene in a source node of the packet flow, where the third link is a link that is on the second forwarding node.

Abstract: A system for sending limited-content message texts to a debtor, where each message comprises a fixed format, comprising an agent's name, a callback number, and optional suggested times for the recipient to callback the agent. The limited content message texts are sent over a time period during the work schedule of the agent and the optionally suggested callback times may take into account the agent's schedule. Upon receiving a voice telephone callback from the recipient, a comparison is performed on the calling party number to ascertain if it matches a called party number of one of the sent limited-content message texts. If matched, then the call is routed to the agent identified in the limited-content message text. The agent is further presented with information indicating the voice telephone call is a callback in response to a previously sent limited-content message text.

Abstract: A computerized method for automatic detection of an availability of an agent to attend a schedule of customer calls in a call center and reassignment thereof may include assessing an agent availability to attend a schedule in a predefined time interval before a starting time of the schedule. If the assigned agent is not available, candidate agent availability may be assessed from a plurality of schedules to participate in the schedule of the unavailable agent. One or more candidate agents from a plurality of agents may be identified to replace the unavailable assigned agent based on the candidate agent availability. A replacement agent chosen from the one or more candidate agents may be assigned based on skills or preferences for each of the one or more identified candidate agents. A supervisor may be notified that the chosen replacement agent will attend the schedule in place of the unavailable assigned agent.

Abstract: A network resource manager is configured to read in from a deferrable instance a request to transfer program data and/or execution instructions to a computer-based resource of a cloud service provider for execution. If the load on the cloud service provider is high, the manager will transmit a query to the deferrable instance offering to assign an additional deferrable instance to the original deferrable instance if both the original deferrable instance and the additional deferrable instance accept a deferral period during which neither can make requests for resources.

Abstract: Systems and methods, which can provide for an indication of a privileged communication, are provided. A method, according to an embodiment, uses at least one processor of a communication server device. Addressee information of one or more addressee(s) of a communication, sender information of a sender of the communication, or a combination thereof is received. The sender information, the addressee information, or a combination thereof is compared to registered user information maintained in a database. The registered user information corresponds to registered users to or from whom privileged communications may be sent or received. An indication that the communication is privileged is provided when the sender information, the addressee information, or the combination thereof corresponds to respective registered user information maintained in the database.

Abstract: A set of techniques is described for enabling a virtual machine based transcoding system. The system enables any transcoding provider to make their transcoding service available to other users over a network. The system can automate the deployment, execution and delivery of the transcoding service on behalf of the transcoding provider and enable other users to use the transcoding services to transcode content. The system receives a virtual machine image, transfers the image to a location where the media content is stored and creates a virtual private network of resources that will perform the transcoding of the media content. The virtual private network may be firewalled or otherwise restricted from opening connections with external clients when transcoding the content in order to prevent malicious use of the media content.

Abstract: In one aspect, the disclosure provides: using a control computer logically positioned between one or more researcher computers and one or more systems under test, obtaining a task that identifies a potential security vulnerability of the one or more systems under test; determining a task type of the task associated with particular skills for investigating the potential security vulnerability; identifying a plurality of researcher computers who each have the particular skills; determining a task expiration of the task; determining a respective availability of the plurality of researcher computers; assigning the task to one or more researcher computers of the plurality of researcher computers determined to be available to complete the task; determining and providing an incentive to the one or more researcher computers in response to successfully validating the reports of the potential security vulnerability of the one or more systems under test.

Abstract: A computerized method for automatic detection of an availability of an agent to attend a schedule of customer calls in a call center and reassignment thereof may include assessing an agent availability to attend a schedule in a predefined time interval before a starting time of the schedule. If the assigned agent is not available, candidate agent availability may be assessed from a plurality of schedules to participate in the schedule of the unavailable agent. One or more candidate agents from a plurality of agents may be identified to replace the unavailable assigned agent based on the candidate agent availability. A replacement agent chosen from the one or more candidate agents may be assigned based on skills or preferences for each of the one or more identified candidate agents. A supervisor may be notified that the chosen replacement agent will attend the schedule in place of the unavailable assigned agent.

Abstract: Methods and systems of automatic confidence-controlled sampling to analyze, detect anomalies and problems in monitoring data and event messages generated by sources of a distributed computing system are described. A source can be virtual or physical object of the distributed computing system, a resource of the distributed computing system, or an event source running in the distributed computing. Monitoring data includes metric data generated by resources and data that represents meta-data properties of event sources. Confidence-controlled sampling is used to determine characteristics of the monitoring data, identify periodic patterns in the behavior of a source, detect changes in behavior of a source, and compare the behavior of two sources. Confidence-controlled sampling speeds up characterization the data sets, determination of behavior patterns, and detection and reporting of anomalies and problems of the resources and event sources of the distributed computing system.

Abstract: A method and a system are provided for customer churn prediction. The method includes creating a graph comprising a plurality of nodes and a plurality of edges. At least one edge of the plurality of edges in the graph connects more than two nodes of the plurality of nodes. Each of the plurality of nodes represents a customer. Thereafter, a similarity matrix representative of a similarity between each of a plurality of customers is determined based on the graph. Further, the similarity matrix is decomposed into a first matrix and a second matrix. A third matrix is determined based on the first matrix, the second matrix, and a scaling parameter. The third matrix is utilized to identify a set of potential churn customers from the plurality of customers. Thereafter, the set of potential churn customers is presented on a user-computing device.

Abstract: A management apparatus executes: receiving from a given communication apparatus where a fault has occurred, fault information; selecting a given flow that passes through the given communication apparatus from among a group of flows on the basis of the identification information of the given communication apparatus included in the fault information; determining whether the communication pattern of the given flow is similar to the given time series data indicating the change over time of the traffic within a period from a set period prior to the fault occurrence date and time to the fault occurrence date and time for the given flow; calculating the certainty that the given flow has been transmitted on the fault occurrence date and time on the basis of a frequency of appearance of the traffic of the communication pattern determined to be similar; and outputting calculation results.

Abstract: A performance anomaly detector obtains a performance metric value from a performance measurement of operation of a resource, and determines a modified Z-score based on the. Occurrence of an anomaly event for the resource is detected responsive to determining that: 1) the modified Z-score exceeds a Z-score anomaly threshold; and 2) a threshold number of other modified Z-scores, which are determined for the other performance metric values in the sequence and are within a sequence window range of the performance metric value, also exceed the Z-score anomaly threshold. A remedial action for the resource is initiated responsive to detecting the occurrence of the anomaly event for the resource.