INTELLIGENT SELF-SERVICE DELIVERY ADVISOR
    21.
    发明申请

    公开(公告)号:US20190139004A1

    公开(公告)日:2019-05-09

    申请号:US15806601

    申请日:2017-11-08

    CPC classification number: G06Q10/20 G06N20/00 G06Q30/016

    Abstract: The present invention provides a method, system, and computer program product of an intelligent self-service delivery advisor. In an embodiment, the present invention includes, in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories, identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category, selecting, by the second computer system, a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data, generating, by the second computer system, one or more suggestions based on the catalog and the one or more computer system service tasks; and displaying, displaying by the second computer system, the one or more suggestion on a display logically coupled to the computer system.

    Predictive network traffic management

    公开(公告)号:US10070328B2

    公开(公告)日:2018-09-04

    申请号:US14830964

    申请日:2015-08-20

    Abstract: Predictive network traffic management in a computer network. Information relating to events likely to have an adverse impact on network traffic, based on predefined parameters of network performance, is collected from the Internet. Details that may be used to predict network traffic density is extracted from the collected events information, and a predicted traffic density, based on the details is generated. Based on the predicted network traffic density, a traffic pattern is generated. A best-matching traffic pattern template to the generated traffic pattern is identified in a store of traffic pattern templates. Based on the best-matching traffic pattern template, bandwidth on the network is provisioned via an SDN controller.

    Syntactic and semantic autocorrect learning

    公开(公告)号:US12153879B2

    公开(公告)日:2024-11-26

    申请号:US17659823

    申请日:2022-04-19

    Abstract: Learning and correcting errors in text input fields to an artificial intelligence (AI) system includes receiving, by the AI system from a target system, an input text. The AI system executes a text processing operation on the input text by applying at least one transformer from a library of transformers to the input text to generate transformed text. At least one proposed correction to the input text is output by the AI system based on an analysis of the transformed text. Feedback data, associated with the at least one proposed correction, is then received from a user of the target system to iteratively learn, by the AI system, which of the transformers need be applied on future input text to accurately generate future proposed corrections on the future input text.

    MODERNIZATION OF AN APPLICATION FOR RELATED IMAGE GENERATION

    公开(公告)号:US20220245000A1

    公开(公告)日:2022-08-04

    申请号:US17162069

    申请日:2021-01-29

    Abstract: Systems, computer-implemented methods, and computer program products to facilitate modernization of an application are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a determination component that determines one or more relevant surrounding contexts for a raw entity. The computer executable components also can comprise a matching component that matches the one or more relevant surrounding contexts with one or more known surrounding contexts of one or more known entities. The computer executable components further can comprise a type identification component that identifies an entity type for the raw entity based on the matching of the one or more relevant surrounding contexts with the one or more known surrounding contexts.

    ARTIFICIAL INTELLIGENCE BASED APPLICATION MODERNIZATION ADVISORY

    公开(公告)号:US20220138617A1

    公开(公告)日:2022-05-05

    申请号:US17087663

    申请日:2020-11-03

    Abstract: Technology for applying artificial intelligence to decide when to, and/or when not to, send a consumer of a computer system a communication recommending that the computer system be revised to include a more recent version of at least one of the following: a hardware component (for example, microprocessor(s)) and/or a software component (for example, an updated version of an app). The computer system, that is subject to modernization, may be owned outright by the consumer, or it may be purchased as a service (for example, infrastructure as a service, software as a service, package of cloud services). Some embodiments focus on modernization recommendations specifically tailored to cloud orchestration software that deploys containers.

    FORMING MICROSERVICES FROM MONOLITHIC APPLICATIONS

    公开(公告)号:US20220083451A1

    公开(公告)日:2022-03-17

    申请号:US17019480

    申请日:2020-09-14

    Abstract: A method, system, and computer program product for decomposing monolithic applications to form microservices are provided. The method identifies a set of classes within a monolithic application. A set of horizontal clusters are generated by performing horizontal clustering to the set of classes to decompose the classes based on a first functionality type. The method generates a set of vertical clusters by performing vertical clustering to the set of classes to decompose the classes based on a second functionality type. A subset of classes occurring in a common horizontal cluster and vertical cluster are identified as a functional unit. The method merges one or more functional units to form a microservice.

    GENERATION OF MICROSERVICES FROM A MONOLITHIC APPLICATION BASED ON RUNTIME TRACES

    公开(公告)号:US20220035732A1

    公开(公告)日:2022-02-03

    申请号:US17500299

    申请日:2021-10-13

    Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

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