NICE Systems

About: NICE Systems is a based out in . It is known for research contribution in the topics: Session (computer science) & Audio signal. The organization has 277 authors who have published 197 publications receiving 5264 citations.

System and method for robust call center operation using multiple data centers

Abstract: A method of providing robust call center operation for an organization, based on a first data center with computerized components that provide service to the call center, including, receiving at a failover manager having a processor and memory, notification from a user to shut down components of the first data center providing service to the call center, shutting down or verifying non-functionality of the components of the first data center providing service to the call center, activating similar components from a second data center to replace functionality of the first data center, wherein the components of the first data center and the second data center are connected over a network, and updating references of the call center to access the components from the second data center instead of the components from the first data center.

System and method for analysis of interactions with a customer service center

Abstract: A system and method for analysis of interactions with a customer service center, comprising receiving a plurality of customer service interactions, receiving a word cloud computed for the plurality of customer service interactions, consolidating similar or synonymous words into word sets, constructing a weighted graph of the word sets, generating a query for the interaction topic based on a corresponding subset of word sets, selecting at least one representative interaction from the retrieved customer service interactions, and displaying at least a portion of the representative interaction for the selected identified topic.

Call recording with interaction metadata correlation

Abstract: Methods and systems are described for call recording, e.g. in a VoIP system. At least one endpoint may be configured to terminate a call. A recording system may be configured to record call content data from multiple endpointsA the controller may receive, from a call exchange, interaction metadata relating to calls starting and terminating at the endpoint; receive notifications relating to call content from the recording system; and match the interaction metadata to the notifications.

System and method for enhancing compression using skip macro block on a compressed video

Abstract: A method, apparatus, and computer readable medium for skip macro block compression of a compressed video. The method includes, for at least one INTER frame, saving a set of macro blocks including at least one of a macro block having a motion vector greater than a predetermined motion vector threshold, a macro block having positional correspondence to at least one macro block having a motion vector, a macro block having a size greater than a predetermined macro block size threshold, and a macro block having positional correspondence to a second macro block in a previous group of pictures, the second macro block having a motion vector. The method deletes and marks as skipped one or more remaining macro blocks, and merges the set in an order to create a compressed frame including a skipped macro block. The processor implements the method, and the computer readable medium contains processor instructions.

Automated call classification

Abstract: A computing system is configured to categorize digital data records each relating to an interaction between a call center agent and a customer. The system includes a rules module to determine a first probability that a data record belongs to a category based one or more rules each rule defining a relationship between one or more features of the data record and the category; a probabilistic module to determine a second probability that the data record belongs to the category based on one or more probabilistic models of relationships between one or more of the features and the category; an arbitration module to determine whether or not the data record belongs to the category based on the first and second probabilities; and an action module to receive from the arbitration processor an indication that the interaction belongs to the category and to initiate an action appropriate to the category.