Patents by Inventor Patrick Brose

Patrick Brose has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11128633
    Abstract: Systems and methods are provided for receiving a request to access a service catalog from a computing device associated with a tenant with authorization to access a custom microservice and the core microservices of the service catalog, and determining that the service catalog associated with the tenant comprises the custom microservice. The systems and methods further provide for determining routing information from the service catalog to make a request to the custom microservice, routing the request to the custom microservice based on the determined routing information, wherein the request is routed to a tenant computing system associated with the custom microservice, receiving a payload from the tenant computing system associated with the custom microservice, and generating a user interface comprising representations corresponding to the custom microservice and each of the core microservices, the representations corresponding to the custom microservice based on the received payload.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: September 21, 2021
    Assignee: SAP SE
    Inventors: Anubhav Bhatia, Patrick Brose
  • Publication number: 20210288891
    Abstract: Systems and methods are provided for receiving, from a computing device, a selection of a template for a custom microservice and configuration parameters for the custom microservice, generating the template for the custom microservice using the configuration parameters, the template for the custom microservice comprising defined interfaces for accessing core microservices, defined integration points for integration with a system providing the core microservices, and stubs for custom components for the custom microservice, and providing the template for the custom microservice to the computing device, wherein custom components for the custom microservice are added to the template via the computing device using the stubs for the custom components. The systems and methods further provide for registering the custom microservice to be exposed to and accessed by a tenant with authorization to access the custom microservice along with the core microservices.
    Type: Application
    Filed: June 1, 2021
    Publication date: September 16, 2021
    Inventors: Anubhav Bhatia, Patrick Brose
  • Patent number: 11057282
    Abstract: Systems and methods are provided for receiving, from a computing device, a selection of a template for a custom microservice and configuration parameters for the custom microservice, generating the template for the custom microservice using the configuration parameters, the template for the custom microservice comprising defined interfaces for accessing core microservices, defined integration points for integration with a system providing the core microservices, and stubs for custom components for the custom microservice, and providing the template for the custom microservice to the computing device, wherein custom components for the custom microservice are added to the template via the computing device using the stubs for the custom components. The systems and methods further provide for registering the custom microservice to be exposed to and accessed by a tenant with authorization to access the custom microservice along with the core microservices.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: July 6, 2021
    Assignee: SAP SE
    Inventors: Anubhav Bhatia, Patrick Brose
  • Publication number: 20210065086
    Abstract: Techniques for implementing and using failure curve analytics in an equipment maintenance system are disclosed. A method comprises: accessing a failure curve model for an equipment model, the failure curve model being configured to estimate lifetime failure data for the equipment model for different failure modes corresponding to different specific manners in which the equipment model is capable of failing, the lifetime failure data indicating a probability of the equipment model failing in the specific manner of the failure mode; generating first analytical data for a first failure mode of the plurality of failure modes using the failure curve model based on the first failure mode, the first analytical data indicating at least a portion of the lifetime failure data for the equipment model corresponding to the first failure mode; and causing a visualization of the first analytical data to be displayed on a computing device.
    Type: Application
    Filed: December 9, 2019
    Publication date: March 4, 2021
    Inventors: Simon Lee, Rashmi B. Shetty, Anubhav Bhatia, Patrick Brose, Martin Weiss, Lukas Carullo, Lauren McMullen, Karthik Mohan Mokashi
  • Publication number: 20200396140
    Abstract: Systems and methods are provided for receiving, from a computing device, a selection of a template for a custom microservice and configuration parameters for the custom microservice, generating the template for the custom microservice using the configuration parameters, the template for the custom microservice comprising defined interfaces for accessing core microservices, defined integration points for integration with a system providing the core microservices, and stubs for custom components for the custom microservice, and providing the template for the custom microservice to the computing device, wherein custom components for the custom microservice are added to the template via the computing device using the stubs for the custom components. The systems and methods further provide for registering the custom microservice to be exposed to and accessed by a tenant with authorization to access the custom microservice along with the core microservices.
    Type: Application
    Filed: June 17, 2019
    Publication date: December 17, 2020
    Inventors: Anubhav Bhatia, Patrick Brose
  • Publication number: 20200396225
    Abstract: Systems and methods are provided for receiving a request to access a service catalog from a computing device associated with a tenant with authorization to access a custom microservice and the core microservices of the service catalog, and determining that the service catalog associated with the tenant comprises the custom microservice. The systems and methods further provide for determining routing information from the service catalog to make a request to the custom microservice, routing the request to the custom microservice based on the determined routing information, wherein the request is routed to a tenant computing system associated with the custom microservice, receiving a payload from the tenant computing system associated with the custom microservice, and generating a user interface comprising representations corresponding to the custom microservice and each of the core microservices, the representations corresponding to the custom microservice based on the received payload.
    Type: Application
    Filed: June 17, 2019
    Publication date: December 17, 2020
    Inventors: Anubhav Bhatia, Patrick Brose
  • Publication number: 20200272947
    Abstract: Provided is a system and method for training and validating models in a machine learning pipeline for failure mode analytics. The machine learning pipeline may include an unsupervised training phase, a validation phase and a supervised training and scoring phase. In one example, the method may include receiving an identification of a machine learning model, executing a machine learning pipeline comprising a plurality of services which train the machine learning model via at least one of an unsupervised learning process and a supervised learning process, the machine learning pipeline being controlled by an orchestration module that triggers ordered execution of the services, and storing the trained machine learning model output from the machine learning pipeline in a database associated with the machine learning pipeline.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 27, 2020
    Inventors: Lukas Carullo, Patrick Brose, Kun Bao, Anubhav Bhatia, Leonard Brzezinski, Lauren McMullen, Simon Lee
  • Publication number: 20200272112
    Abstract: Provided is a system and method for training and validating models in a machine learning pipeline for failure mode analytics. The machine learning pipeline may include an unsupervised training phase, a validation phase and a supervised training and scoring phase. In one example, the method may include receiving a request to create a machine learning model for failure mode detection associated with an asset, retrieving historical notification data of the asset, generating an unsupervised machine learning model via unsupervised learning on the historical notification data, wherein the unsupervised learning comprises identifying failure topics from text included in the historical notification data and mapping the identified failure topics to a plurality of predefined failure modes for the asset, and storing the generated unsupervised machine learning model via a storage device.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 27, 2020
    Inventors: Lukas Carullo, Patrick Brose, Kun Bao, Anubhav Bhatia, Rashmi Shetty B, Leonard Brzezinski, Lauren McMullen, Harpreet Singh, Karthik Mohan Mokashi, Simon Lee
  • Publication number: 20200186444
    Abstract: A selection indicative of one or more types of information associated with a product or service is received by a computing device of a digital services framework. A data container is generated for a content package comprising one or more semantics for populating the content package with the selected types of information. Based on the product or service, one or more recipients for the content package are identified. An announcement indicative of the content package is sent to the identified recipients. Requests for subscriptions to the content package identified recipients are received. Instances of the container are populated for identified recipients who have subscribed to the content package. The populating comprises populating the content package with the selected types of information based on the one or more semantics. The populated instances of the content package are sent to the subscribed recipients.
    Type: Application
    Filed: December 6, 2018
    Publication date: June 11, 2020
    Inventors: Daniel Huber, Srikanth Grandhe, Emese Borbala Baliko, Sri Vidah A N, Yogesh Beria, Anubhav Bhatia, Lukas Carullo, Martin Weiss, Patrick Brose, Markus Krabel
  • Publication number: 20200186619
    Abstract: A data container for a content package comprising one or more semantics for populating the content package with selected types of information associated with a product or service is received by a computing device of a digital services framework. An organizational structure between and within networked tenants of the digital services framework is analyzed to identify one or more recipients for the content package. A data topology associated with the product or service is analyzed to generate announcements indicative of individualized content packages for the identified recipients for the content package. The announcements are sent to the identified recipients. Requests are received for subscriptions to the content package. Based on the analysis of the organizational structure and data topology and user-defined rules and semantics, instances of the container are selectively populating for tenants who have subscribed to the content package.
    Type: Application
    Filed: December 6, 2018
    Publication date: June 11, 2020
    Inventors: Daniel Huber, Srikanth Grandhe, Emese Borbala Baliko, Sri Vidah A N, Yogesh Beria, Anubhav Bhatia, Lukas Carullo, Martin Weiss, Patrick Brose, Markus Krabel
  • Publication number: 20200159203
    Abstract: Provided is a system and method for predicting leading indicators for predicting occurrence of an event at a target asset. Rather than rely on traditional manufacturer-defined leading indicators for an asset, the examples herein predict leading indicators for a target asset based on actual operating conditions at the target asset. Accordingly, unanticipated operating conditions can be considered. In one example, the method may include receiving operating data of a target resource, the operating data being associated with previous occurrences of an event at the target resource, predicting one or more leading indicators of the event at the target resource based on the received operating data, each leading indicator comprising a variable and a threshold value for the variable, and outputting information about the one or more predicted leading indicators of the target resource for display via a user interface.
    Type: Application
    Filed: February 15, 2019
    Publication date: May 21, 2020
    Inventors: Rashmi Shetty B, Leonard Brzezinski, Lauren McMullen, Harpreet Singh, Karthik Mohan Mokashi, Simon Lee, Lukas Carullo, Martin Weiss, Patrick Brose, Anubhav Bhatia