Abstract: An example method, executed by a processing system, includes receiving data from a data source, routing the data to a plurality of different data labelers to label the data, determining that an inflection point associated with an accuracy of the plurality of different data labelers is reached, re-routing additional data from the data source to a machine learning model, and activating the machine learning model to label the additional data.

Abstract: An example method, executed by a processing system, includes receiving data from a data source, routing the data to a plurality of different data labelers to label the data, determining that an inflection point associated with an accuracy of the plurality of different data labelers is reached, re-routing additional data from the data source to a machine learning model, and activating the machine learning model to label the additional data.

Abstract: In a dataset exchange environment in which datasets are available for exchange or transformation, a dataset validation platform may be configured to update a cryptographically signed record based on each dataset that is available via the data exchange environment. The dataset validation platform may be further configured to control access to the datasets based on whether a request to access a particular dataset is compliant with an availability requirement of the particular dataset. The dataset validation platform may be further configured to update the cryptographically signed record based on requests to access the datasets, transformations that are based on the datasets, or modifications to the availability requirement of the datasets, such as a modification to a privacy limitation or other availability requirement indicating a criteria for usage of the requested dataset.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting customer service automation. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents of a customer service center. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents to identify conversation-level topics and utterance-level topics from the customer service conversations. The support for automation of customer service may be based on use of conversation-level topics and utterance-level topics identified from the customer service conversations to control initiation of customer service automation actions for supporting automation of customer service of the customer service center.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting customer service automation. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents of a customer service center. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents to identify conversation-level topics and utterance-level topics from the customer service conversations. The support for automation of customer service may be based on use of conversation-level topics and utterance-level topics identified from the customer service conversations to control initiation of customer service automation actions for supporting automation of customer service of the customer service center.

Abstract: A method and apparatus for detecting a photoacoustic light signal to prevent unauthorized voice commands for a microphone-controllable device are provided. The method includes receiving, by a processor, a signal, detecting, by the processor, that the signal is a photoacoustic signal generated by a thermal expansion and contraction of an object caused by at least one lightwave applied to the object, and activating, by the processor, a counter-measure to prevent the photoacoustic signal from reaching a microphone of a microphone-controllable device in response to detecting the photoacoustic signal.

Abstract: An example method, executed by a processing system, includes receiving data from a data source, routing the data to a plurality of different data labelers to label the data, determining that an inflection point associated with an accuracy of the plurality of different data labelers is reached, re-routing additional data from the data source to a machine learning model, and activating the machine learning model to label the additional data.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system loads into cloud storage items of information for potential delivery to a customer, and receives a customer inquiry that includes text, audio, and/or image data. The system generates input for a natural language processing (NLP) model. The input corresponds to the customer inquiry, and the generating comprises converting a format of the customer inquiry to a text format, using a cloud service. The system also analyzes the input using the NLP model, to predict a set of items of information to be included in a customer solution; the items of information are associated with identifying codes. The system also performs searching, using the identifying codes, the cloud storage to retrieve the predicted items of information, resulting in a customer solution for delivery to equipment of the customer. Other embodiments are disclosed.

Abstract: A method and apparatus for detecting a photoacoustic light signal to prevent unauthorized voice commands for a microphone-controllable device are provided. The method includes receiving, by a processor, a signal, detecting, by the processor, that the signal is a photoacoustic signal generated by a thermal expansion and contraction of an object caused by at least one lightwave applied to the object, and activating, by the processor, a counter-measure to prevent the photoacoustic signal from reaching a microphone of a microphone-controllable device in response to detecting the photoacoustic signal.

Abstract: Facilitating pre-positioning of streaming content onto communication devices is provided herein. A system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise facilitating an identification of a first multimedia content stream and a second multimedia content stream. The identification can be based on a usage preference of a defined entity associated with a communication device. The operations can also comprise, in response to a determination that an available network satisfies a defined network criterion, facilitating pre-positioning, at a data store of the communication device, the first multimedia content stream and the second multimedia content stream.

Abstract: Facilitating pre-positioning of streaming content onto communication devices is provided herein. A system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise facilitating an identification of a first multimedia content stream and a second multimedia content stream. The identification can be based on a usage preference of a defined entity associated with a communication device. The operations can also comprise, in response to a determination that an available network satisfies a defined network criterion, facilitating pre-positioning, at a data store of the communication device, the first multimedia content stream and the second multimedia content stream.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting automation of customer service. The automation of customer service may be based on support for automation of conversations between customers and customer service agents. The automation of customer service based on support for automation of conversations between customers and customer service agents may be based on use of images provided by the customers to control the conversations between customers and customer service agents. The support for automation of conversations between customers and customer service agents based on use of images provided by the customers may include processing the images to obtain information for the conversations between the customers and the customer service agents and controlling the conversations between the customers and the customer service agents based on the information for the conversations between the customers and the customer service agents.

Abstract: A visual indicator system includes a sensor system, a visual indicator, a processing system coupled to the sensor system and the visual indicator, and a memory system that is coupled to the processing system and that includes instructions that, when executed by the processing system, cause the processing system to provide a visual indicator module. The visual indicator module receives first sensor data via the sensor system and determines based on the first sensor data that a first condition is satisfied. In response to the first condition being satisfied and via a first portion of the visual indicator, the visual indicator module provides a first visual indication that is associated with the first condition to a physical environment.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting automation of customer service. The automation of customer service may be based on support for automation of conversations between customers and customer service agents. The automation of customer service based on support for automation of conversations between customers and customer service agents may be based on use of images provided by the customers to control the conversations between customers and customer service agents. The support for automation of conversations between customers and customer service agents based on use of images provided by the customers may include processing the images to obtain information for the conversations between the customers and the customer service agents and controlling the conversations between the customers and the customer service agents based on the information for the conversations between the customers and the customer service agents.

Abstract: A method that tracks a gaze of a specific user as the user reads displayed electronic document to determine pauses in reading greater than a specified period of time. Objects on the displayed document are correlated to the pauses. Features are identified based on the objects and textual analysis of the electronic document. A descriptor is obtained from the user defining each of the identified features, each having a value of a relative importance or applicability. An overall value is obtained from the user indicating an overall applicability of the document with respect to specific requirements of the user, and a pre-trained, baseline machine learning model, the identified features, the descriptor for each of the identified features, the value for each of the identified features, and the overall value for each of the displayed plurality of electronic documents are combined as training data for the machine learning model.

Abstract: In a dataset exchange environment in which datasets are available for exchange or transformation, a dataset validation platform may be configured to update a cryptographically signed record based on each dataset that is available via the data exchange environment. The dataset validation platform may be further configured to control access to the datasets based on whether a request to access a particular dataset is compliant with an availability requirement of the particular dataset. The dataset validation platform may be further configured to update the cryptographically signed record based on requests to access the datasets, transformations that are based on the datasets, or modifications to the availability requirement of the datasets, such as a modification to a privacy limitation or other availability requirement indicating a criteria for usage of the requested dataset.

Abstract: A visual indicator system includes a sensor system, a visual indicator, a processing system coupled to the sensor system and the visual indicator, and a memory system that is coupled to the processing system and that includes instructions that, when executed by the processing system, cause the processing system to provide a visual indicator module. The visual indicator module receives first sensor data via the sensor system and determines based on the first sensor data that a first condition is satisfied. In response to the first condition being satisfied and via a first portion of the visual indicator, the visual indicator module provides a first visual indication that is associated with the first condition to a physical environment.

Abstract: A method and apparatus for detecting a photoacoustic light signal to prevent unauthorized voice commands for a microphone-controllable device are provided. The method includes receiving, by a processor, a signal, detecting, by the processor, that the signal is a photoacoustic signal generated by a thermal expansion and contraction of an object caused by at least one lightwave applied to the object, and activating, by the processor, a counter-measure to prevent the photoacoustic signal from reaching a microphone of a microphone-controllable device in response to detecting the photoacoustic signal.

Abstract: A method for providing training data for a machine learning model includes: monitoring a specific user as the specific user reads electronic documents on a display to determine indications of pauses in reading for greater than a specified period of time; correlating objects on each of the displayed plurality of electronic documents to the pauses in reading; identifying features for the machine learning model based on the objects and textual analysis of each of the plurality of electronic documents; presenting information related to each identified feature to the specific user; obtaining from the specific user a descriptor defining each of the identified features and a value for each of the identified features indicating a relative importance or applicability of each of the identified features; and associating obtained descriptors and values with each of the identified features.

Abstract: An example method performed by a processing system includes acquiring a set of troubleshooting notes. The set of troubleshooting notes is generated by a human customer support representative in response to a condition that is reported by a customer. The troubleshooting notes are written in natural language. A plurality of predictions for the set of troubleshooting notes is generated. Each prediction of the plurality of predictions indicates a likelihood that a root cause of the condition is a different one of a plurality of predefined root causes, and each prediction of the plurality of predictions is generated using a different binary classifier of a plurality of binary classifiers. At least two of the plurality of predictions are encoded into a single vector which concatenates a plurality of bits, wherein each bit of the plurality of bits represents one prediction of the at least two of the plurality of predictions.