Serial Number
87635816
Owner
GENESYS TELECOMMUNICATIONS LABORATORIES, INC.Attorney
Margaret J. BaumgartnerFiling Date
Oct 5, 2017
KATE BY GENESYS Trademark
Serial Number: 87635816
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Class 35 - Advertising & Business
Advertising; business management; business administration; office functions
Owner Contact Info
1155 MARKET STREET
SAN FRANCISCO, CA 94103
Entity Type: 03
Legal Representation
Trademark Details
Filing Date
October 5, 2017
Registration Date
Not Registered
Published for Opposition
January 15, 2019
Goods & Services
Computer software for contact center management; computer software for augmenting agent interaction with customers, namely, downloadable cloud based software for use in the collection and analysis of data utilizing natural language processing, computational linguistics, information retrieval, predictive analytics, and machine learning in connection with interactive voice response, automated call distribution and customer agent interaction
BUSINESS MANAGEMENT CONSULTANCY; DATA PROCESSING SERVICES; COMMERCIAL CONSULTANCY AND ANALYSIS RELATING TO CONTACT CENTER MANAGEMENT; ALL OF THE ABOVE RENDERED IN THE FIELD OF COGNITIVE COMPUTING TECHNOLOGIES THAT PROVIDE MULTI-MODAL NATURAL LANGUAGE PROCESSING, PREDICTIVE ANALYTICS AND MACHINE LEARNING FOR CONTEXTUAL ANALYSIS IN CONNECTION WITH CUSTOMER AGENT INTERACTIONS
Consultancy services in the field of design and development of computer hardware systems; consultancy services in the field of maintenance of computer software for computer systems; providing temporary use of online non-downloadable cloud based software for contact center management; providing temporary use of non-downloadable cloud based software for augmenting live agent interactions with customers, specifically for use in the collection and analysis of data utilizing natural language processing, computational linguistics, information retrieval, predictive analytics, and machine learning in connection with interactive voice response, automated call distribution and customer agent interaction
