Abstract: A system to detect a status of a switching semiconductor in a switching circuit is provided. The system includes the switching semiconductor, an actuator, wherein the actuator is electrically coupled to a first end of the switching semiconductor, a resistor electrically coupled to a second end of the switching semiconductor, a switching device electrically coupled to the resistor, a detector connected to a collector terminal of the bi-polar junction transistor, and a processor. The processor is configured to provide a trigger voltage to the switching semiconductor, wherein the trigger voltage activates the switching semiconductor and induces current flow from the actuator through the resistor via the switching semiconductor. The processor activates the switching device, based on the activated switching semiconductor and detects a voltage at a collector terminal of the switching device. The processor determines the status of the switching semiconductor based on the detected voltage.

Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.

Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.

Abstract: A system and method includes: implementing an intelligence and insights service; identifying an anomalous observation output by a data processing pipeline based on streams of data sourced from a subscriber to the intelligence and insights service; recursively inputting into a subset of the data processing pipeline of the intelligence and insights service a plurality of dimensions of the streams of data based on attributes of the anomalous observation; automatically identifying one or more driving factors causing the output of the anomalous observation based on an analysis within the subset of the data processing pipeline of plurality of dimensions of the streams of data; generating a story component based on a conversion of the one or more driving factors; and augmenting the story component to a pre-existing story relating to the anomalous observation that is provided to the subscriber via a user interface.

Abstract: A system and method for implementing a cloud-based data processing platform for identifying intelligence information and insights based on data from a plurality of data sources includes: receiving a plurality of data stream; normalizing each of a plurality of data points in the plurality of data streams; analyzing the normalized data points and associated meta data information; identifying relationships between at least two sets of the normalized data points; and identifying intelligence information and insights based on statistical attributes of the normalized data and identified relationships between them; converting the identified intelligence information and insights into one or more stories; and communicating the one or more stories to a user interface.

Abstract: A system and method for implementing a cloud-based data processing platform for identifying intelligence information and insights based on data from a plurality of data sources includes: receiving a plurality of data stream; normalizing each of a plurality of data points in the plurality of data streams; analyzing the normalized data points and associated meta data information; identifying relationships between at least two sets of the normalized data points; and identifying intelligence information and insights based on statistical attributes of the normalized data and identified relationships between them; converting the identified intelligence information and insights into one or more stories; and communicating the one or more stories to a user interface.