LiveOps, Inc. Patent applications |
Patent application number | Title | Published |
20140324530 | METHOD AND SYSTEM FOR DETECTING PATTERS IN DATA STREAMS - A new approach is proposed that contemplates systems and methods to detect patterns in at least one data stream. First, the at least one data stream is received and analyzed to detect an event in the least one data stream, wherein the detected event occurs in relation with an entity and includes at least one attribute indicative of at least one of an identity of the entity, an event type, and contact information for the entity. Once the event is detected and/or received from an external source, it is compared with a plurality of predefined patterns to determine if a match between the event and at least one of the predefined patterns is found. If a match is found successfully, a notification indicative of the entity and/or the event and the at least one predefined pattern that has been successfully matched with the event is generated and transmitted with instructions for actions by another application. | 10-30-2014 |
20140181898 | SYSTEM AND METHOD FOR IMPLEMENTING ADAPTIVE SECURITY ZONES - A system for managing adaptive security zones in complex business operations, comprising a rules engine adapted to receive events from a plurality of event sources and a security manager coupled to the rules engine via a data network, wherein upon receiving an event, the rules engine determines what rules, if any, are triggered by the event and, upon triggering a rule, the rules engine determines if the rule pertains to security and, if so, sends a notification message to the security manager informing it of the triggered event, and wherein the security manager, on receiving a notification message from the rules engine, automatically establishes a new security zone based at least in part on the contents of the notification message, is disclosed. | 06-26-2014 |
20140181174 | DISTRIBUTED PROCESSING OF STREAM DATA ON AN EVENT PROTOCOL - An exemplary method for distributed processing of streaming data on an event protocol comprises receiving a plurality of related events from the streaming data at a node, amending a state of the related events, determining an error margin based on the amended state, and updating a current data transformation based on the amended state and error margin, thereby enabling real time analysis of streaming data. | 06-26-2014 |
20140064474 | MULTI-CHANNEL PIVOTING - An method of pivoting a customer among synchronous and asynchronous communications channels during a communication session. | 03-06-2014 |