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US Patent 11940770 Automated data integration pipeline with storage and enrichment

Patent 11940770 was granted and assigned to Mapped Inc. on March, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Mapped Inc.
Mapped Inc.
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Current Assignee
Mapped Inc.
Mapped Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119407700
Patent Inventor Names
Jose De Castro0
Shaun Cooley0
Jason Koh0
Date of Patent
March 26, 2024
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Patent Application Number
173722470
Date Filed
July 9, 2021
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Patent Citations
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US Patent 10044630 Systems and/or methods for remote application introspection in cloud-based integration scenarios
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US Patent 10216706 Method and computing device for facilitating data sample testing
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US Patent 10353596 Data storage system performance management
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US Patent 10540383 Automatic ontology generation
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US Patent 10699214 Automatic identification and deployment of virtual sensor models
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US Patent 10901373 Building management system with artificial intelligence for unified agent based control of building subsystems
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US Patent 10929777 Method of automating data science services
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US Patent 10997195 System and methods for user-configurable virtual appliance for advanced analytics using streaming/IoT/big data
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...
Patent Primary Examiner
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Mark D Featherstone
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CPC Code
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G06F 16/254
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G05B 2219/2642
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G06F 5/00
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G05B 19/042
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G05B 19/05
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G06F 12/00
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Patent abstract

Described are platforms, systems, and methods to automatically discover, extract, map, merge, and enrich data found in on-premises in automated industrial and commercial environments and cloud systems for purposes of providing developers access to normalized, merged, and enriched data through an API. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; retrieve data from at least one of the identified data sources; apply a first algorithm to map the retrieved data to a predetermined ontology; merge the mapped data into a data store comprising timeseries of the mapped data; apply a second algorithm to identify patterns in the merged data and enriching the data based on one or more identified patterns; and provide one or more APIs or one or more real-time streams to provide access to the enriched data.

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