Patents by Inventor Alessandro Parolin

Alessandro Parolin 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).

  • Cross in-database machine learning
    Patent number: 11995535
    Abstract: In some example embodiments, a computer-implemented method may include training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
    Type: Grant
    Filed: June 22, 2023
    Date of Patent: May 28, 2024
    Assignee: SAP SE
    Inventors: Marco Antonio Carniel Furlanetto, Alessandro Parolin, Cristiano Ruschel Marques Dias, Alejandro Salinger
  • CROSS IN-DATABASE MACHINE LEARNING
    Publication number: 20230334303
    Abstract: Techniques for implementing cross in-database machine learning are disclosed. In some example embodiments, a computer-implemented method comprises training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
    Type: Application
    Filed: June 22, 2023
    Publication date: October 19, 2023
    Inventors: Marco Antonio Carniel Furlanetto, Alessandro Parolin, Cristiano Ruschel Marques Dias, Alejandro Salinger
  • Cross in-database machine learning
    Patent number: 11755896
    Abstract: In some example embodiments, a computer-implemented method may include training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
    Type: Grant
    Filed: October 12, 2022
    Date of Patent: September 12, 2023
    Assignee: SAP SE
    Inventors: Marco Antonio Carniel Furlanetto, Alessandro Parolin, Cristiano Ruschel Marques Dias, Alejandro Salinger
  • CROSS IN-DATABASE MACHINE LEARNING
    Publication number: 20230030608
    Abstract: Techniques for implementing cross in-database machine learning are disclosed. In some example embodiments, a computer-implemented method comprises training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
    Type: Application
    Filed: October 12, 2022
    Publication date: February 2, 2023
    Inventors: Marco Antonio Carniel Furlanetto, Alessandro Parolin, Cristiano Ruschel Marques Dias, Alejandro Salinger
  • Cross in-database machine learning
    Patent number: 11494672
    Abstract: In some example embodiments, a computer-implemented method may include training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: November 8, 2022
    Assignee: SAP SE
    Inventors: Marco Antonio Carniel Furlanetto, Alessandro Parolin, Cristiano Ruschel Marques Dias, Alejandro Salinger
  • CROSS IN-DATABASE MACHINE LEARNING
    Publication number: 20210350254
    Abstract: Techniques for implementing cross in-database machine learning are disclosed. In some example embodiments, a computer-implemented method comprises training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
    Type: Application
    Filed: May 8, 2020
    Publication date: November 11, 2021
    Inventors: Marco Antonio Carniel Furlanetto, Alessandro Parolin, Cristiano Ruschel Marques Dias, Alejandro Salinger