Abstract: This disclosure describes systems, methods, and devices related to programmatically updating the status of assets tracked in a supply chain environment. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine asset workflow information associated with the first asset, determine an intelligence engine configured to generate an inference of a status associated with the first asset, determine the status associated with the first asset, wherein the status is determined by the intelligence engine based on the first sensor data and the asset workflow information, and store the status of the first asset in an asset tracking database.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for proactive network diagnosis. An example method may include determining, by one or more processors, telemetry data and streaming trap data indicative of a group of cable modem devices being disconnected from a cable network. The example method may include determining, based on the telemetry data and streaming trap data, a first network node device of the group of network node devices. The example method may include generating first performance data associated with the first network node device. The example method may include determining, based on a comparison between the first performance data and an event criterion, an occurrence of an event associated with the first network node device.

Abstract: The disclosure is directed to, among other things, systems and methods for troubleshooting equipment installations using machine learning. Particularly, the systems and methods described herein may be used to validate an installation of one or more devices (which may be referred to as “customer premises equipment (CPE)” herein as well) at a given location, such as a customer's home or a commercial establishment. As one non-limiting example, the one or more devices may be associated with a fiber optical network, and may include a modem and/or an optical network terminal (ONT). However, the one or more devices may include any other types of devices associated with any other types of networks as well.

Abstract: Systems and methods are disclosed for tank level monitoring. To perform monitoring of fuel levels of fuel tanks, tank level monitor devices may be affixed to the fuel tanks. The tank level monitors may be used to provide data relating to the fuel tanks to a remote location (such as a mobile device application). A predictive algorithm may also be implemented to more effectively schedule refueling events for various fuel tanks.

Abstract: Devices, systems, and methods are provided for performing secured analytics using encrypted data. The method may include receiving first data and second data, the first data and the second data being homomorphically encrypted, the first data associated with a first type of data, and the second data associated with a second type of data. The method may include retrieving third data associated with the first type of data, and retrieving fourth data associated with the second type of data. The method may include determining a first proximity between the first data and the third data, and determining a second proximity between the second data and the fourth data. The method may include determining, based on the first proximity and the second proximity, a risk score, and determining, based on the risk score, a fraudulent action associated with the first data and the second data.

Abstract: Edge-converged telemetry is provided. A system, method, and computer readable storage device are provided for collecting telemetry data from a plurality of telemetry sources in an edge network, determining geolocations of the telemetry, tagging the telemetry with geolocation metadata corresponding to the determined geolocations, correlating telemetry based at least in part on the geolocation, converging the telemetry, and providing the edge-converged telemetry to a client decisioning system that is enabled to use the converged telemetry for making or influencing decisions made by the system. In an example aspect, the decisioning system is configured to make decisions for controlling a device, wherein the decisions are based at least in part on telemetry data.

Abstract: Combining a plurality of video feeds of various modulation formats and from a variety of sources for providing a unified interface and an extension of services across the plurality of video feeds is provided. An integrated video feed system located at least in part at a subscriber premises is configured to receive a plurality of video content broadcast feeds (e.g., cable television, over the air television, satellite television, Internet Protocol television), generate a combined data feed comprising video content signals included in the plurality of video content feeds, identify and decode the video content signals, obtain additional data associated with each of the plurality of video content feeds, provide a unified interface for displaying an aggregation of data and services associated with the plurality of video content feeds, and to provide requested video content included in the plurality of video content broadcast feeds for playback on a display device.

Abstract: The present disclosure relates to multi-MAC controller and single PHY systems and methods. An example method may include transmitting, via a first device in a Data Over Cable Service Interface Specification (DOCSIS) network, a first block of data within a first time slot and at a first power level. The example method may also include transmitting, via a second device in the DOCSIS network, a second block of data within the first time slot and at a second power level, the second power level being based on an attenuation of the first network tap device associated with the first device, wherein the first power level is different from the second power level.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for network resource allocations. An example method may include receiving performance data associated with customer premise devices and nodes. The method may include determining a first amount of technician resources allocated to a first geographic area. The method may include determining a second amount of technician resources allocated to a second geographic area. The method may include determining a first score indicative of a first predicted demand for technician resources associated with the first geographic area, and a second score indicative of a second predicted demand for technician resources associated with the second geographic area. The method may include causing a third amount of technician resources to be allocated to the first geographic area and a fourth amount of technician resources to be allocated to the second geographic area.

Abstract: This disclosure describes systems, methods, and devices related to programmatically updating the status of assets tracked in a supply chain environment. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine asset workflow information associated with the first asset, determine an intelligence engine configured to generate an inference of a status associated with the first asset, determine the status associated with the first asset, wherein the status is determined by the intelligence engine based on the first sensor data and the asset workflow information, and store the status of the first asset in an asset tracking database.

Abstract: This disclosure describes systems, methods, and devices related to providing contextually relevant asset-centric activity feeds in a supply chain environment. Techniques described herein may relate to collecting asset tracking data for an asset, user interaction data for the asset, and determine relevance scores for some or all of the asset tracking data and/or user interaction data. The relevance scores may be used to determine a ranked list of asset-centric activities that may be presented to a user in various graphical interfaces. Different asset-centric activity feeds may be generated for different users based on their patterns of user interaction.

Abstract: This disclosure describes systems, methods, and devices related to providing smart communication networks using asset information in a supply chain environment. Techniques described herein may relate to collecting real-time asset tracking data for an asset, detecting an event associated with the asset, identifying two or more users to add to a smart communications groups based on historical user interactions and historical tracking data, and creating an asset-centric smart communications groups with the identified two or more users.

Abstract: Intelligent bandwidth prioritization and allocation are provided. Data about a local network and devices connected to the network may be collected, monitored, measured, and tracked over time for generating a profile about a subscriber. For example, the profile may comprise a data-based representation of the data transmission capabilities and data usages and behaviors associated with the subscriber network that can be used for identifying network performance issues, to determine traffic classification, classification criteria, and priority values for automatically classifying traffic flows, and to determine bandwidth allocation rules, optimizations, and other traffic management instructions that can be automatically implemented by the access point to optimize performance of data flows.

Abstract: The present disclosure relates to multi-MAC controller and single PHY systems and methods. An example method may include receiving, at a remote PHY device and from a first MAC device located at a headend of a network, a first data packet including a first identifier. The example method may also include determining, by the remote PHY device and using the first identifier included in the first data packet, a first output of the PHY device onto which to transmit the first data packet, the first output including a first group of customer devices. The example method may also include receiving, at the remote PHY device and from a second MAC device located at the headend, a second data packet including a second identifier. The example method may also include determining, by the remote PHY device and using the second identifier included in the second data packet, a second output of the PHY device onto which to transmit the second data packet, the second output including a second group of customer devices.

Abstract: The present disclosure relates to multi-MAC controller and single PHY systems and methods. An example method may include transmitting, via a first device in a Data Over Cable Service Interface Specification (DOCSIS) network, a first block of data within a first time slot and at a first power level. The example method may also include transmitting, via a second device in the DOCSIS network, a second block of data within the first time slot and at a second power level, the second power level being based on an attenuation of the first network tap device associated with the first device, wherein the first power level is different from the second power level.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for network resource allocations. An example method may include receiving performance data associated with customer premise devices and nodes. The method may include determining a first amount of technician resources allocated to a first geographic area. The method may include determining a second amount of technician resources allocated to a second geographic area. The method may include determining a first score indicative of a first predicted demand for technician resources associated with the first geographic area, and a second score indicative of a second predicted demand for technician resources associated with the second geographic area. The method may include causing a third amount of technician resources to be allocated to the first geographic area and a fourth amount of technician resources to be allocated to the second geographic area.

Abstract: Disclosed are systems and methods for proactive service health detection. An example method may include receiving, by a first computing system, first data associated with a first application at a first time and second data associated with the first application at a second time. The example method may also include receiving an indication of an anomaly associated with the first application at the second time. The example method may also include comparing, by a first natural language processing model on the first computing system, the second data and the first data. The example method may also include determining, by the first natural language processing model and based on the comparison, a first difference indicative that a portion of the first data is different than a same portion of the second data. The example method may also include receiving third data associated with the first application.

Abstract: Telematics-based device troubleshooting, self-repair, and optimization are provided. A system, method, and computer readable storage device collect telemetry data associated with the health of networked CPE devices, service provider data, and service and repair data associated with CPE devices, analyze the collected information, and detect and predict issues that can affect the functioning and operation of CPE devices. Analysis of collected data can be based on self-check rules. In some implementations, troubleshooting steps or rules can be executed by a server device or communicated to a CPE device for enabling self-troubleshooting and self-correction of an issue. Self-check and troubleshooting rules can be configured according to insights derived from machine learning techniques applied to collected data (e.g.

Abstract: Disclosed are systems and methods for multiple spectrum plans on a single cable segment. An example method may include causing, by a processor, to send an indication to a first customer premises device (CPE) of a Data Over Cable Service Interface Specification (DOCSIS) network to transmit and receive data outside of a second frequency range, wherein the first CPE is configured to transmit and receive data over the DOCSIS network using a first frequency spectrum, wherein the first CPE is configured to transmit upstream data in a first frequency range between a first frequency and the second frequency, and wherein the DOCSIS network further comprises a second CPE configured to transmit and receive data on the DOCSIS network using a second frequency spectrum, wherein the second CPE is configured to transmit upstream data in a second frequency range between the second frequency and a third frequency.

Abstract: This disclosure describes systems, methods, and devices related to providing real-time response strategies in a supply chain. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine a first set of external data associated with the first asset, determine, based at least in part on the first sensor data and the first set of external data, a probability of failure and a mode of failure, and responsive to a determination that the probability of failure exceeds a failure threshold: determine a mitigation for the mode of failure that is available based at least in part on the first sensor data and the first set of external data, determine one or more real-world actions corresponding to the mitigation that, if performed, remediate the mode of failure, and cause the one or more real-world actions to be performed.