International Business Machines Corporation

Priya Kannan

Shajeer K Mohammed

Ankur Tagra

Naveen Kumar T

Anu Jalan

Rahul Chandrakar

Yogesh R Kakde

Shashank M S

Shashank Ms

Kavitha Subramaniam

Naveen T Kumar

Manjunatha Thejaswi Manjunatha

Dynamically enforcing access control policies unique to respective users in a multi-cluster container orchestration environment is provided. Resource-permission-role mappings are generated for users in the multi-cluster container orchestration environment based on preset access control criteria. Dynamic access control criteria are learned from the multi-cluster container orchestration environment over time. The resource-permission-role mappings for the users in the multi-cluster container orchestration environment are updated based on the dynamic access control criteria learned from the multi-cluster container orchestration environment over time. The resource-permission-role mappings are enforced to respective users in the multi-cluster container orchestration environment in response to receiving corresponding user resource access requests.

Cognitive access control policy management in a multi-cluster container orchestration environment

Embodiments are directed to a system, computer program product, and method for application of cognitive processing to a communication, and selectively transmitting the communication based on the cognitive processing. Natural language understanding (NLU) decomposes the communication to identify content and keywords. A dictionary determined to be contextually related to the communication is identified to support and enable a multi-dimensional analysis of the communication content. The communication is subject to dynamic filtering with support of the dictionary and dictionary content, and the dictionary is subject to a selective amendment based on the dynamic processing. A response is generated from the filtering, and the response is subject to selective transmission.

Cognitive analysis and dictionary management

Embodiments are directed to a system, computer program product, and method for application of cognitive processing to a communication, and selectively transmitting the communication based on the cognitive processing. Natural language understanding (NLU) decomposes the communication to identify content and keywords. A dictionary determined to be contextually related to the communication is identified to support and enable a multi-dimensional analysis of the communication content. The communication is subject to dynamic filtering with support of the dictionary and dictionary content. A response is generated from the filtering, and is subject to selective transmission.

Cognitive analysis and content filtering

A method for providing an interactive infrastructure management system based on a chat interface is provided. The method may include receiving a first operation query via a first infrastructure management chat interface associated with an infrastructure management system. The method may include providing first data instructions using the first infrastructure management chat interface in response to the first operation query. The method may include generating a second infrastructure management chat interface associated with the infrastructure management system to edit and train the infrastructure management system based on the provided first data instructions. The method may include editing the provided first data instructions associated with the first operation query to train the infrastructure management system to respond to the first operation query. The may further include propagating the edited first data instructions to one or more second data instructions associated with a second operation query related to the first operation query.

Cognitive data curation on an interactive infrastructure management system

A method, computer system, and computer program product for determining a server conversational state in an interactive dialog between a server and an administrator is provided. The embodiment may include receiving a query statement from a user. The embodiment may also include updating a context map to reflect a context of the received query statement. The embodiment may further include transmitting a request to one or more cognitive engines capable of resolving the received query statement. The embodiment may also include processing the transmitted request in each of the one or more cognitive engines. The embodiment may further include updating the context map with a resolution operation performed by the one or more cognitive engines. The embodiment may also include displaying a response to the user.

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Bengaluru, India

Priya Kannan