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    • 1. 发明授权
    • Systems, methods, and apparatuses for implementing a metadata driven rules engine on blockchain using distributed ledger technology (DLT)
    • US11038771B2
    • 2021-06-15
    • US16683945
    • 2019-11-14
    • salesforce.com, inc.
    • Prithvi Krishnan Padmanabhan
    • H04L12/24H04L9/06
    • Systems, methods, and apparatuses for implementing a metadata driven rules engine on blockchain using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment are described herein. For example, according to one embodiment there is a system having at least a processor and a memory therein executing within a host organization, in which such a system includes means for operating a blockchain interface to a blockchain on behalf of a plurality of tenants of the host organization, wherein each one of the plurality of tenants operate as one of a plurality of participating nodes on the blockchain having access to the blockchain; displaying a Graphical User Interface (GUI Interface) to a user device communicably interfaced with the system over a network, wherein the GUI interface is to prompt for a metadata rule definition at the user device when displayed by the user device; receiving input at the system from the GUI interface displayed to the client device, the input defining the metadata rule definition, wherein the metadata rule definition includes one or more conditions or criteria to be matched to a transaction received at the blockchain; auto-generating code for a smart contract representing the metadata rule definition based on the input received from the GUI interface displayed to the client device; submitting the smart contract having the code representing the metadata rule definition to the blockchain for consensus by participating nodes of the blockchain; and adding the smart contract having the code representing the metadata rule definition onto the blockchain by writing the metadata rule definition into an asset of a new block on the blockchain pursuant to the smart contract attaining consensus from the participating nodes of the blockchain. Other related embodiments are disclosed.
    • 10. 发明授权
    • Systems, methods, and apparatuses for implementing machine learning model training and deployment with a rollback mechanism
    • US10713594B2
    • 2020-07-14
    • US15407147
    • 2017-01-16
    • salesforce.com, inc.
    • Kit Pang SzetoSimon Chan
    • G06N20/00G06F11/14G06Q30/02
    • In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing machine learning model training and deployment with a rollback mechanism within a computing environment. For example, an exemplary machine learning platform includes means for receiving training data as input at the machine learning platform, in which the training data includes a multiple transactions, each of the transactions specifying a plurality of features upon which to make a prediction and a label representing a correct answer for the plurality of features according to each respective transaction; specifying a model to be trained by the machine learning platform using the training data, in which the model includes a plurality of algorithms and source code; generating a new predictive engine variant by training the model to algorithmically arrive upon the label representing the correct answer as provided with the training data based on the plurality of features for each of the multiple transactions; versioning the new predictive engine variant based at least on the time the new predictive engine variant was generated a version of the source code utilized within the model and the training data received as input; deploying the new predictive engine variant into a production environment to replace a prior version of the predictive engine variant; and rolling back the new predictive engine variant from the production environment to a specified version which is less than a version of the new predictive engine variant. Other related embodiments are disclosed.