Abstract: Embodiments are directed to providing real-time forecasting for material requirements planning and inventory controls based on data from a variety of sources. More specifically, embodiments are directed to collecting data from sources including, but not limited to, manufacturing, inventory, and supplier data sources, and focusing on the most important data signals in near real-time, focusing on critical suppliers and inventory, and creating critical alerts while also enabling predictive analytics and machine learning to automate the processes and providing an ability to manage all the data.

Abstract: Disclosed herein are system, method, and device embodiments for an authentication workflow incorporating blockchain technology. An embodiment operates by requesting, from a distributed authentication service, transmission of a time-based one-time password to a communication endpoint associated with an end-user, receiving a time-based one-time password submission from a user device associated with the end-user, retrieving a plurality of distributed ledger entries (e.g., a plurality of blocks of a blockchain), and validating the time-based one-time password submission based on the plurality of distributed ledger entries as a part of a two factor authentication workflow.

Abstract: Disclosed herein are system, method, and device embodiments for an authentication workflow incorporating blockchain technology. An embodiment operates by requesting, from a distributed authentication service, transmission of a time-based one-time password to a communication endpoint associated with an end-user, receiving a time-based one-time password submission from a user device associated with the end-user, retrieving a plurality of distributed ledger entries (e.g., a plurality of blocks of a blockchain), and validating the time-based one-time password submission based on the plurality of distributed ledger entries as a part of a two factor authentication workflow.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: Disclosed herein are system, method, and device embodiments for an authentication workflow incorporating blockchain technology. An embodiment operates by requesting, from a distributed authentication service, transmission of a time-based one-time password to a communication endpoint associated with an end-user, receiving a time-based one-time password submission from a user device associated with the end-user, retrieving a plurality of distributed ledger entries (e.g., a plurality of blocks of a blockchain), and validating the time-based one-time password submission based on the plurality of distributed ledger entries as a part of a two factor authentication workflow.

Abstract: Disclosed herein are system, method, and computer program product embodiments for p providing a risk response and communication system. An embodiment operates by determining that a workflow associated with an organization indicates an action to be taken by a role within the organization upon the detection of an organizational risk. An organizational risk is detected. Contact information associated with the role is determined, wherein the contact information includes a user account. A message notifying the user account associated with the role of the organizational risk is sent, wherein the notification includes an indication to take the action. It is determined whether a response indicating the action has been completed is received within a time threshold. The user account is monitored until either the response is received or the expiration of the time threshold.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: Disclosed herein are system, method, and computer program product embodiments for delivering messages using enterprise numbers. In an embodiment, a messaging system may facilitate two-way communication between enterprises and end user devices through the user of shared enterprise numbers. Multiple content providers and/or service providers may use the shared enterprise numbers to reach a wide range of end user devices. The end user devices may be, for example, telephones capable of communicating via short message service (SMS). The messaging system may assign enterprise numbers based on sessions to avoid conflicts when receiving reply messages. In an embodiment, the messaging system may assign enterprise numbers so received replies may be returned to corresponding enterprises without relying on keywords to be present in the reply message.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: A method and corresponding apparatus configured to collect raw data from a plurality of wireless devices. The raw data includes activity recorded when the wireless devices are at a selected topographic region. The raw data is combined to produce aggregated data representative of the activities of the individual wireless devices. Either the aggregated data or the raw data are selected for analysis depending on whether the raw data meets a threshold activity or subscriber density level. The selected data are analyzed to identify activity patterns of users of the wireless devices.

Abstract: A method and corresponding apparatus configured to collect raw data from a plurality of wireless devices. The raw data includes activity recorded when the wireless devices are at a selected topographic region. The raw data is combined to produce aggregated data representative of the activities of the individual wireless devices. Either the aggregated data or the raw data are selected for analysis depending on whether the raw data meets a threshold activity or subscriber density level. The selected data are analyzed to identify activity patterns of users of the wireless devices.

Abstract: A method and corresponding apparatus configured to receive data from a plurality of wireless devices. The collected data includes recorded activity at the wireless devices. The method includes analyzing the collected data to produce demographic data. The analyzing includes calculating, based on the collected data, probabilities of individual steps in a path. Each step represents a visit to a website in the path or a physical location in the path. The demographic data is supplied to a data consumer device.

Abstract: A method and corresponding apparatus that is configured to receive data from a data producer (such as for example a telecommunications provider like a mobile operator); process (e.g., analyze, aggregate, etc.) the received data; and supply aspects of the results of the processing to a data consumer through for example an array of user interfaces.