Trademark: MAGELLAN 1803205
Word
MAGELLAN
ID
1803205
Trademark Type
Word
Status
Registered: Registered/protected
Application Date
17 October 2016
Registration Date
17 October 2016
Renewal Date
17 October 2026

Owner(s)
Service
Spruson & Ferguson

Goods and Services:
Class 9:
Computer operating software; software for use in the collection, integration, curation, evaluation, and analysis of data utilizing natural language processing, computational linguistics, information retrieval, data analytics, and machine learning; instruction manuals sold with computer programs; all of the foregoing relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; software for cognitive computing and data-driven analytics; software featuring data analytics and machine learning tools for acquiring, processing, sorting and analyzing information, data and content; software for use in cognitive computing; software for sharing datasets for the purpose of delivering automated decision support, data modeling, machine learning, predictive analytics, automated reasoning, diagnostics, optimization and recommendation services; software for use in cognitive computing which utilizes digital information for information management over on-premises and off-premises networks for business-to-business integration, analytics, cloud services, archive services, business process management, content management, search, and messaging; software for use in connecting disparate computer networks and systems, servers and storage devices; software for cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; software for reporting, processing, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, cognitive computing, and predictive analytics all in the field of information management; software that provides real-time, integrated cognitive predictive analytics management intelligence by combining information and data and presenting it in an easy-to-understand user interface; software to manage, analyze, retrieve, monitor, maintain, report on, structure, model, forecast, present and display data and information from computer databases, applications and the internet; software to manage, monitor, track and organize data used in connection with predictive intelligence software; software for use in cognitive computing intelligence analytics, modeling, planning, forecasting, reporting, interactive visualization, and predictive analysis; software for data mining, data query, data analysis, and narrative generation used in the field of information, data and content management; software and tools for building and deploying intelligent assistants, electronic advisors, and digital workers, in the field of cognitive computing; software for machine learning and statistical analysis; software for data analysis, machine learning, data processing, analysis and storage, cognitive computing and predictive analytics related to structured and unstructured data; cognitive computing technologies that provide for machine-to-machine (M2M) interactions, communications and collaborative cognition; cognitive computing technologies that provide for human-to-machine interactions, communications and collaborative cognition; cognitive computing technologies that provide for cognitive automation and cognitive automation systems for messaging; cognitive computing technologies and systems to support machine-to-machine (M2M) interactions, communications, remote data collection and process control; cognitive computing technologies and systems to support natural user interface solutions; cognitive computing technologies to enhance the automation of infrastructure operations across computers, networks and storage devices; cognitive computing technologies to support cognitive automation capabilities of IT infrastructure and services; cognitive computing technologies to support cognitive automation of production systems; cognitive computing to automate and augment processes across a broad range of functions; cognitive computing technologies and systems for accelerating and scaling operational and management expertise; cognitive computing technologies and systems that provide for cognitive enhancement in respect of experience and productivity, accelerating processes, automation and autonomy; cognitive computing technologies that support immersive cognitive systems; cognitive computing technologies and systems that provide for digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, integrated robotic process automation, automated software development operations, automated testing, automated IT infrastructure management, and automated data center operations; cognitive computing technologies and systems which enable machine learning, natural language processing, learning algorithms, semantic ontologies, pattern recognition and knowledge modelling technologies; software for developing and running portable, scalable cognitive systems; downloadable cloud computer based software that collects, analyzes, stores, retrieves, filters, processes, reproduces and transmits machine-to-machine (M2M) data from connected devices and integrates machine-to-machine (M2M) data with web and mobile application software; software for developing, installing, configuring, monitoring and managing machine-to-machine (M2M) applications; software for machine-to-machine (M2M) networks for data connectivity and integration, device management, configuration, provisioning, management, and control; software for controlling, viewing, accessing, browsing and utilizing global computer and communication networks and for business-process optimization; software for supporting a natural user interface to an operating system relating to compilers, programming languages, databases, networking and communications, artificial intelligence, and brain and body characteristics; analytics software for collecting and analyzing information, data and content to facilitate information, data and content management; software that provides for predictive data analytics, data processing, analysis and visualization, and data mining from disparate data sources and for providing automated solutions to enable organizations to integrate disparate data; software for use in data analytics, namely, for storing, managing and analyzing structured, semi-structured and unstructured data and for performing advanced analysis and modeling of diverse multi-structured data, building data software applications, and performing complex large scale analytics on data; software for searching, identifying, collecting, aggregating, filtering, ranking, processing, merging, visualizing, storing, sharing, managing, reporting and analyzing data in batch mode or real time, and for enabling users to access, view, analyze, share and report data from multiple sources; software for storing, querying, and sharing functionality for management of multi-dimensional data sets, machine learning algorithms, predictive models, facts and dimensions, and digital traces; software for managing machine-to-machine (M2M) and internet of things (IoT) communications and interactions; software for providing machine-to-machine (M2M) and internet of things (IoT) communication integration services, namely, the integration of disparate computer systems, networks, hardware and software through the application of wireless communication technology to facilitate M2M and IoT communication via web based browsers, personal digital assistants, mobile phones, embedded microprocessors, sensors and other electronic devices; none of the foregoing relate to navigational or GPS software or systems
Class 42:
Cloud computing services; Consulting services; installing, testing, updating and maintaining of software for others; software design and computer programming services for others; cloud computing featuring software for use in the collection, integration, curation, evaluation, and analysis of data utilizing natural language processing, computational linguistics, information retrieval, data analytics, and machine learning; all of the foregoing relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; cloud computing featuring software for cognitive computing and data-driven analytics; cloud computing featuring software for use in data analytics and machine learning tools for acquiring, processing, sorting and analyzing information, data and content; cloud computing featuring software for use in cognitive computing; cloud computing featuring software for sharing datasets for the purpose of delivering automated decision support, data modeling, machine learning, predictive analytics, automated reasoning, diagnostics, optimization and recommendation services; cloud computing featuring software for use in cognitive computing which utilizes digital information for information management over on-premises and off-premises networks for business-to-business integration, analytics, cloud services, archive services, business process management, content management, search, and messaging; cloud computing featuring software for use in connecting disparate computer networks and systems, servers and storage devices; cloud computing featuring software for cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction; cloud computing featuring software for reporting, processing, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, cognitive computing, and predictive analytics all in the field of information management; cloud computing featuring software that provides real-time, integrated cognitive predictive analytics management intelligence by combining information and data and presenting it in an easy-to-understand user interface; cloud computing featuring software to manage, analyze, retrieve, monitor, maintain, report on, structure, model, forecast, present and display data and information from computer databases, applications and the internet; cloud computing featuring software to manage, monitor, track and organize data used in connection with predictive intelligence software; cloud computing featuring software for use in cognitive computing intelligence analytics, modeling, planning, forecasting, reporting, interactive visualization, and predictive analysis; cloud computing featuring software for data mining, data query, data analysis, and narrative generation used in the field of information, data and content management; cloud computing featuring software and tools for building and deploying intelligent assistants, electronic advisors, and digital workers, in the field of cognitive computing; cloud computing featuring software for machine learning and statistical analysis; cloud computing featuring software for data analysis, machine learning, data processing, analysis and storage, cognitive computing and predictive analytics related to structured and unstructured data; cloud computing featuring software for cognitive computing technologies that provide for machine-to-machine (M2M) interactions, communications and collaborative cognition; cloud computing featuring software for cognitive computing technologies that provide for human-to-machine interactions, communications and collaborative cognition; cloud computing featuring software for cognitive computing technologies that provide for cognitive automation and cognitive automation systems for messaging; cloud computing featuring software for cognitive computing technologies and systems to support machine-to-machine (M2M) interactions, communications, remote data collection and process control; cloud computing featuring software for cognitive computing technologies and systems to support natural user interface solutions; cloud computing featuring software for cognitive computing technologies to enhance the automation of infrastructure operations across computers, networks and storage devices; cloud computing featuring software for cognitive computing technologies to support cognitive automation capabilities of IT infrastructure and services; cloud computing featuring software for cognitive computing technologies to support cognitive automation of production systems; cloud computing featuring software for cognitive computing to automate and augment processes across a broad range of functions; cloud computing featuring software for cognitive computing technologies and systems for accelerating and scaling operational and management expertise; cloud computing featuring software for cognitive computing technologies and systems that provide for cognitive enhancement in respect of experience and productivity, accelerating processes, automation and autonomy; cloud computing featuring software for cognitive computing technologies that support immersive cognitive systems; cloud computing featuring software for cognitive computing technologies and systems that provide for digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, integrated robotic process automation, automated software development operations, automated testing, automated IT infrastructure management, and automated data center operations; cloud computing featuring software for cognitive computing technologies and systems which enable machine learning, natural language processing, learning algorithms, semantic ontologies, pattern recognition and knowledge modelling technologies; cloud computing featuring software for developing and running portable, scalable cognitive systems; cloud computing featuring software that collects, analyzes, stores, retrieves, filters, processes, reproduces and transmits machine-to-machine (M2M) data from connected devices and integrates machine-to-machine (M2M) data with web and mobile application software; cloud computing featuring software for developing, installing, configuring, monitoring and managing machine-to-machine (M2M) applications; cloud computing featuring software for machine-to-machine (M2M) networks for data connectivity and integration, device management, configuration, provisioning, management, and control; cloud computing featuring software for controlling, viewing, accessing, browsing and utilizing global computer and communication networks and for business-process optimization; cloud computing featuring software for supporting a natural user interface to an operating system relating to compilers, programming languages, databases, networking and communications, artificial intelligence, and brain and body characteristics; cloud computing featuring analytics software for collecting and analyzing information, data and content to facilitate information, data and content management; cloud computing featuring software that provides for predictive data analytics, data processing, analysis and visualization, and data mining from disparate data sources, and for providing automated solutions to enable organizations to integrate disparate data; cloud computing featuring software for use in data analytics, namely, for storing, managing and analyzing structured, semi-structured and unstructured data and for performing advanced analysis and modeling of diverse multi-structured data, building data software applications, and performing complex large scale analytics on data; cloud computing featuring software for searching, identifying, collecting, aggregating, filtering, ranking, processing, merging, visualizing, storing, sharing, managing, reporting and analyzing data in batch mode or real time, and for enabling users to access, view, analyze, share and report data from multiple sources; cloud computing featuring software for storing, querying, and sharing functionality for management of multi-dimensional data sets, machine learning algorithms, predictive models, facts and dimensions, and digital traces; cloud computing featuring software for managing machine-to-machine (M2M) and internet of things (IoT) communications and interactions; cloud computing featuring software for providing machine-to-machine (M2M) and internet of things (IoT) communication integration services, namely, the integration of disparate computer systems, networks, hardware and software through the application of wireless communication technology to facilitate M2M and IoT communication via web based browsers, personal digital assistants, mobile phones, embedded microprocessors, sensors and other electronic devices; development and implementation of software and technology solutions for all the foregoing services; information, advisory and consultancy services in respect of all the foregoing services; none of the foregoing relate to navigational or GPS software or systems