SYSTEMS AND METHODS FOR FORMAT-AGNOSTIC PUBLICATION OF MACHINE LEARNING MODEL

    公开(公告)号:US20240330764A1

    公开(公告)日:2024-10-03

    申请号:US18318057

    申请日:2023-05-16

    IPC分类号: G06N20/00

    CPC分类号: G06N20/00

    摘要: A system for format-agnostic publication of a machine learning model may receive, through an application programming interface (API), machine learning models that have been built, developed, and trained in disparate computing environments, validate and normalize these machine learning models, generate a docker image for each validated and standardized machine learning model, and publish the docker images to a docker registry. The docker images can then be deployed to a managed cluster such as an on-prem managed cluster operating in an enterprise computing environment and/or a managed hyperscale cluster operating in a cloud computing environment. This API-based machine learning model publication approach allows any analytics model developed and trained in any modeling environment be deployed to any managed cluster.

    Endpoint agent management systems and methods for remote endpoint security

    公开(公告)号:US12069096B2

    公开(公告)日:2024-08-20

    申请号:US17389695

    申请日:2021-07-30

    IPC分类号: H04L9/40 H04L67/01 H04L67/147

    摘要: An endpoint security system having a Secured Authentication For Enterprise (SAFE) server is enhanced with an auxiliary service. The auxiliary service receives a request to run a job on an endpoint of an enterprise computer network, queues up the job in a central job store, and monitors whether an agent on the endpoint has checked in with the SAFE server. Responsive to the agent on the endpoint checking in with the SAFE server, the auxiliary service establishes, through a secure connection with the SAFE server, a connection with the agent on the endpoint and determines whether the agent has any jobs queued up in the central job store. If so, the auxiliary service dispatches the job from the central job store to the agent on the endpoint through the secure connection with the SAFE server and starts the job by the agent on the endpoint.

    SYSTEMS AND METHODS FOR CONVERSION OF DOCUMENTS TO REUSABLE CONTENT TYPES

    公开(公告)号:US20240143899A1

    公开(公告)日:2024-05-02

    申请号:US18408263

    申请日:2024-01-09

    IPC分类号: G06F40/166 G06F40/205

    CPC分类号: G06F40/166 G06F40/205

    摘要: Embodiments of systems and methods for the conversion of documents to reusable content types are disclosed herein. Embodiments may extract the content and metadata of the original document and identify a set of reusable resources from the content and metadata. These reusable resources can each be one of a set of content types common across a plurality of document authoring platforms. Each of the content types may be represented using a content type object associated with that content type. The reusable resources identified by the parsing of the content and metadata of the original document may thus be represented with corresponding reusable objects in a content type format common to a plurality of document authoring tools.

    SYSTEMS AND METHODS FOR REST FRAMEWORK FOR MULTIPLE REST-BASED STORES

    公开(公告)号:US20240137274A1

    公开(公告)日:2024-04-25

    申请号:US17973307

    申请日:2022-10-24

    摘要: Embodiments provide systems and methods for a generic representational state transfer (ReST) framework that can be used to communicate with heterogeneous ReST interfaces. On embodiment of a method comprises storing endpoint configurations for heterogeneous ReST interfaces as configurable files consumable by a ReST framework; receiving, by the ReST framework, a request to perform an operation and ReST resource details associated with the request to perform the operation; generating a ReST request, the ReST request including an endpoint URL for a target resource, a Hypertext Transfer Protocol (HTTP) method, and a header; and sending the ReST request to a ReST server. Generating the ReST request can comprise accessing the first endpoint configuration and extract first endpoint configuration data that is applicable to servicing the request to perform the operation, the first endpoint configuration data specifying the header; and mapping the operation to the HTTP method.

    CREATION OF COMPONENT TEMPLATES BASED ON SEMANTICALLY SIMILAR CONTENT

    公开(公告)号:US20240119236A1

    公开(公告)日:2024-04-11

    申请号:US18544159

    申请日:2023-12-18

    摘要: Systems, methods and products for accessing a set of electronic document templates, identifying instances of common document content such as content items which are semantically similar, and generating component templates containing the common content. Semantically similar content may be identified by analyzing content for factors such as expressed sentiment, included keyphrases, recognizable entities, expressed topics, assigning values to content based on these factors, and determining similarity based on comparisons of the assigned values. Component templates may also be generated based on types of content that include identical text or images, content that has a predefined level of similarity rather than being identical, content that has common rules, scripting logic or variables, metadata, etc. The component templates may be generated automatically, or in response to user instructions.