188 results about "Real time analytics" patented technology

A device, system and method is provided for monitoring a user's interactions with Internet-based programs or documents. Content may be extracted from Internet server traffic according to predefined rules. Extracted content may be associated with a user's Internet interaction. The user's Internet interaction may be stored and indexed. The user's Internet interaction may be analyzed to generate a recommendation provided to a contact center agent while the contact center agent is communicating with said user for guiding the user's interaction, for example, in real-time. Traffic other than Internet server traffic may also be used.

Improved real-time analytics systems are provided. An analytics system may be used to generate transaction scores for transactions. A method may comprise receiving a scoring request associated with a transaction, sending the scoring request to a plurality of scoring models including a production model, wherein each scoring model is operable to generate a transaction score in response to the scoring request, and wherein each scoring model may be implemented using a virtual machine, receiving a transaction score generated by the production model, and sending the transaction score to a server for approval or denial the transaction.

A real-time, stream data information integration and analytics system can include an information engine that performs real-time entity extraction to create key-value pairs of attributes for a personal profile and integrates similar personal profiles generated from same or different data sources into a single person-of-interest profile. The real-time, stream data information integration and analytics system can further include a real-time analytics module that performs a variety of analytics using the person-of-interest profiles and updates the person-of-interest profiles with scores and other results of the variety of analytics. The variety of real-time analytics can include sentiment analysis and at least some aspects of threat detection analysis. The sentiment analysis can be used to provide a recommender system and the threat detection analysis can be used to identify and predict threats and opportunities.

A method for performing real-time analytics using a business rules engine on real time heterogeneous materialized data views is disclosed. The method comprises processing of rows produced by views corresponding to events. The rows are processed according to business rules by a view engine. Views with conditions equivalent to rule conditions are subscribed to by a rule engine, which outputs action messages corresponding to the rule condition. Where the rule condition is satisfied, a statement to that effect is sent, with any available reportlets, to an alert engine. The alert engine handles alert states corresponding to the action statement, saves any corresponding reportlets, and generates a message to fire an alert to a notification engine. The notification engine formats the alert and sends the alert by a selected medium, such as email, a webservice call, or another network protocol.

A cloud computing system is described herein that enables fast processing of queries over massive amounts of stored data. The system is characterized by the ability to scan tens of billions of data items and to perform aggregate calculations like counts, sums, and averages in real-time (less than three seconds). Ad hoc queries are supported including grouping, sorting, and filtering without the need to predefine queries by providing highly efficient loading and processing of data items across an arbitrarily large number of processors. The system does not require any fixed schema, thus the system supports any type of data. Calculations made to satisfy a query may be distributed across a large number of processors to parallelize the work. In addition, an optimal blob size for storing multiple serialized data items is determined, and existing blobs that are too large or too small are proactively redistributed or coalesced to increase performance.

A general purpose integrated circuit (IC) tester includes a set of channels, one for each input or output pin of an IC device under test (DUT). Each channel is programmed by a host computer to either supply a test signal to a DUT I/O pin or sample a DUT output signal appearing at the I/O pin and produce sample data representing its magnitude or logic state. The tester also includes an amorphous logic circuit (ALC) having a set of input and output terminals and a programmable logic circuit interconnecting the input and output terminals. Some of the ALC input and output terminals receive the sample data produced by each channel and other ALC terminals send control signals directly to each channel. Other ALC terminals transmit data to the host computer. When it programs the channels to perform a test, the host computer also programs the ALC to control various operations of the channels during the test, to perform a real-time analysis of the test data produced by the channels, and to communicate results of the analysis to the host.

A software-based method and system for maintaining documents and datasets associated with a given commercial transaction as original, authenticated documents or datasets associated with the underlying transaction. Datasets that have been designated as “auditable” are maintained by the system as tamper-evident and reflect the data actually provided to the system by the transaction owner or a trusted third party at each stage of the transaction. In certain preferred embodiments the system establishes and maintains a verified, original audit trail or trails reflecting the custodial chain of ownership of said data. A visual interface is provided to the stakeholders for secure access to authoritative copies of documents, transaction data and the related audit trails. In addition, the system includes real-time analytics and monitoring with threshold-based alerts, and drill-down capability to any level of the data, documents and audit trail.

A system, method and program product for processing a stream of data events using hybrid histograms. A system is provided that includes: a hybrid histogram that provides a running statistical summary of the stream of data events, wherein the hybrid histogram includes a plurality of percentile ranges, a set of boundary values that separate the percentile ranges, and a count associated with each of the percentile ranges; a histogram processing system for identifying a percentile range from the plurality of percentile ranges into which a new data event value falls, and for incrementing the count associated with the identified percentile range; a periodic boundary recalculation system for periodically recalculating the boundary values such that each percentile range includes a substantially similar number of associated counts; and an analysis system that analyzes the hybrid histogram.

Implementations described and claimed herein provide systems and methods for generating network intelligence based on network data. In one implementation, a network traffic dataset representative of network traffic across one or more ports of a primary network is obtained. The ports are associated with a secondary network in communication with the primary network. A content distribution network log associated with the secondary network is obtained. The content distribution log includes a history of content requests. A domain name system log associated with the secondary network is obtained. The domain name system log includes one or more Internet Protocol addresses. Network intelligence is generated based on the network traffic dataset, the content distribution network log, and the domain name system log. The network intelligence may be customer analytics, an aggregated data feed, and/or recommendations for inventory placement.

Disclosed are service providing method and device, including: collecting execution state information about a plurality of tasks that constitute at least one service, and are dynamically distributed and arranged over a plurality of nodes; and performing scheduling based on the collected execution state information about the plurality of tasks, wherein each of the plurality of tasks has at least one input source and output source, and a unit of data to be processed for each input source and a data processing operation are defined by a user, and the scheduling is to delete at least a portion of data input into at least one task or to process the at least a portion of input data in at least one duplicate task by referring to the defined unit of data. In particular, the present invention may effectively provide a service of analyzing and processing large stream data in semi-real time.

The invention discloses an urban smog treatment coordinating system. The urban smog treatment coordinating system comprises two subsystems, namely an urban smog online monitoring system and an urban three-dimensional smog treatment system, wherein the urban smog online monitoring system comprises a cloud server and a plurality of terminals of Internet of things; the urban three-dimensional smog treatment system comprises a smog jetting system and a smog cannon system. The system can effectively monitor the dust content of all regions, analyze air conditions in real time, release monitoring results in time and bring great convenience to the production and living of the public. Smog eliminating operation is carried out through the regulation and control of the smog jetting system and the smog cannon system. The terminals of Internet of things are provided with smog knowledge, smog prevention and emission reduction knowledge modules, and smog knowledge dissemination and smog early warning guidance functions can be achieved. Big data analysis is carried out on monitoring data collected by the cloud server, and a large quantity of key data can be accumulated for meteorological department and environmental protection department about urban smog emission sources and pollution monitoring.

Techniques for processing data streaming from one or more event sources in order to recreate a database table with database transactions for real-time analytics. An exemplary technique includes receiving a stream of events comprising change data for a table attribute, populating an in-memory table with the change data based on a token associated with an operation type and a mapping of a first attribute and a second attribute to a key attribute of the in-memory table, executing a continuous query on the change data for the key attribute of the in-memory table to generate events comprising data for a third attribute, and outputting the events having an output shape comprising the third attribute, where the events include the data for the third attribute.

The invention provides a processing technology big-data support system for project-type products. processing technology big-data support system comprises an Internet-of-things module, a data acquisition module, a data management module, a data real-time analyzing module and an application module, wherein the Internet-of-things module identifies and tracks processing resources involved in a product processing process, the data acquisition module acquires process monitoring data on a real-time basis during the processing process, the data management module sorts and stores process monitoring data acquired by the data acquisition module, the data real-time analyzing module analyzes and processes data stored in the data management module on a real-time basis, and the application module is used for man-machine interaction for the system and users and provides different interaction means and authorities according to the working content difference of users. The processing technology big-data support system can identify, track and distinguish processing resources, data iteration optimization can be realized, and different interaction means and authorities are provided.

A social and mobile business tool is provided for managing multi-platform marketing, publishing, and analysis. The marketing and publishing software program provides an intuitive campaign management system and graphical user interface with in-depth, real-time analytics for conducting social, mobile, and digital targeted campaigns. The social and mobile business software program improves how social, mobile and digital campaigns work, by syncing the multi-platform based campaigns together. Simultaneous and full synchronization means a campaign can be launched at the same time across mobile, social and Web platforms, and are fully synchronized so changes to a campaign are reflected across the other platforms immediately. The pairing of simultaneous synchronization with mobile integration and detailed interest and attribute data about what's important to a brand or agency's customers and prospects equates to more intelligent marketing with the ability to react and adjust a campaign thereby leading to stronger sales, and more satisfied, loyal buyers.

A system for automatically automatic workflow triggering using real-time analytics, comprising an analytics server that receives and analyzes interaction information and a workflow server that produces workflow events based on the analysis, sends workflow events to handlers for processing, retrieves workflow-related data, and produces workflow reports for review, and a method for automatically automatic workflow triggering using real-time analytics.

Machine-implemented methods for providing information to a graphical user interface for displaying web site traffic information are provided. In one aspect, the method includes acquiring low latency web site traffic data for a web site, identifying at least one path taken by at least one visitor between a plurality of web pages for the web site based on the acquired low latency web site traffic data, and providing information for a graphical representation of the identified at least one path. Systems and machine-readable media are also provided.

Systems and method for advanced analytics relating to a wireless communications spectrum are disclosed. At least one distributed device is in network-based communication with at least one remote server. Each of the each of the at least one distributed device is operable to sense and measure signals transmitted from at least one signal emitting device, thereby creating signal data; provide near-real-time analytics for the signal data, thereby creating analyzed data; calculate signal degradation data for the measured signals; and communicate the signal data, the analyze data, and the signal degradation data to the at least one remote server. The at least one remote server is operable to aggregate data from the at least one distributed device and compare the aggregated data from the at least one distributed device.

The present invention discloses a graph-database-based real-time police analysis application platform and a construction method therefor. The platform comprises an HDFS storage system, a Titan engine and an application layer. The HDFS storage system is configured to acquire structured, semi-structured and unstructured original data. The Titan engine is configured to store a personnel event relationship graph, store HBase in the HDFS storage system in a data format of HFile and store SolrCloud in the HDFS storage system in a file format of Lucene by taking HBase as a data storage medium, and take SolrCloud as a text search storage medium of the relationship graph. According to the graph-database-based real-time police analysis application platform and the construction method therefor provided by the present invention, a distributed concurrence calculation technology is introduced; the multilayer relationship analysis can be carried out quickly and accurately; a big data platform integrates and analyzes personnel relationship information; and the sub-second four-layer relationship analysis and display are implemented.