Gridspace Inc.

Groupon, Inc.

Evan Macmillan

Anthony Scodary

Nicolas Benitez

Gaston L'Huillier

Francisco Jose Larrain

Ricardo Andres Zilleruelo

Alex Barron

The present invention is associated with a computerized system that takes a subsequence of a credit card number, in particular the suffix (or last n digits), and transaction data associated with the cardholder. For each subsequence of the credit card number, a set of data may be used in order to uniquely identify the cardholder. The identification of the cardholder may be performed in a particular search space that is composed of all possible credit card numbers and includes the transaction data associated with the cardholder. In an exemplary embodiment, the computerized system is used to promote engagements between individual cardholders and merchants by effectuating marketing actions in combination with commercial transactions when products or subscriptions are purchased.

Method and system for credit card holder identification

A method whereby an audio content is analyzed for speech semantic content and speech vocal content to determine audio content metrics. Additionally, the method may also incorporate the similarity of the audio content to other audio contents and weight the analyses to determine audio content metrics.

Audio call classification and survey system

A method of operating a speech synthesizing conversation agent involves operating an audio interface to receive caller audio signal during a call session. The method generates an audio transcript from the caller audio signal through operation of a sentiment analysis engine configured by a sentiment model. The method communicates the audio transcript to a user interface switch. The method operates the speech synthesizer engine. The speech synthesizer engine generates a response signal for the caller audio signal and the audio transcript through operation of response logic engine configured by the historical conversation data. The speech synthesizer engine generates a synthesized audio response with ambient signal and a synthesized user model response from the response signal through operation of a speech synthesis model configured by the historical conversation data. The method communicates the synthesized audio response to the caller audio signal through the audio interface during the call session.

Conversational speech agent

A distributed multisensory system to record spatially diverse events configures a group of sensors searching sensed events utilizing random access search. The system utilizes presence and co-location detection to identify objects or people in an area. The system then processes audio signals utilizing a multimodal network and machine learning tiered with obfuscated text indexing to provide high-speed, high accuracy searching of stored data. In addition, the obfuscated text allows the system to not have to store an audio transcript, increasing the security of the system. The system utilizes beamforming to merge resultant audio streams for the recorded event.

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San Francisco, CA, United States of America

Evan Macmillan