American Express Travel Related Services Company, Inc.

Krishnaprasad Narayanan

Rahul Ghosh

Shourya Roy

Arindam Chatterjee

Nitish Sharma

Pratap Singh Rathore

Brian C Rosenfield

Bobby Chetal

Anshul Jain

Himanshu Gupta

Swetha P Srinivasan

Varun Agarwal

Ashni Jauhary

Gourav Kumar Sharma

A system and method for generating product analytics insights for machine learning platforms is disclosed. The system and method can receive a log file including data derived while executing a software program. Software packages and the package sub-modules logged in the log file may be categorized into a plurality of package categories. A notebook in which the software code is written, and identified in the log file, may be categorized into a notebook category. A consumable insight may be generated based on: the categorized software packages and package sub-modules, and the categorized notebook. A natural language summary may be generated describing the consumable insight. The natural language summary may be transmitted for display on a graphical user interface (GUI) in response to a user query.

System and method for performing product analytics for machine learning platforms

At least some embodiments are directed to a system that receives from an online portal loaded in a computing device, a user request to instantiate a server cluster in a hybrid computer network. The system authenticates and redirects the user request to a selected computer network configured in the hybrid computer network. The system instantiates the server cluster in the selected computer network causing the server cluster to initiate a microservice agent during bootup. The system sends a command to the server cluster to initiate the execution of a process and receives from the microservice agent event data associated with the process. The system inputs the event data into a trained machine learning model to determine a first execution state of the process and sends a command to change the first execution state of the process to a second execution state.

Computer-based systems for management of big data development platforms based on machine learning techniques and methods of use thereof

At least some embodiments are directed to an insights inference system that produces multiple insights associated with an entity. The insights inference system generates a decision tree machine learning model, assigning a first insight to a parent node of a decision tree machine learning model and assigning at least one second insight to child nodes of the decision tree machine learning model. Each child node is associated with a sequence number and a rank number. The sequence number and the rank number are indicative of a significance associated with the at least one second insight. The insight inference system responds to queries by traversing the decision tree machine learning model to compute at least one response insight based on the sequence number and the rank number associated with each child node and outputs the at least one response insight to a client terminal.

Computer-based systems having computer engines and data structures configured for machine learning data insight prediction and methods of use thereof

At least some embodiments are directed to a system that receives from an online portal loaded in a computing device, a user request to instantiate a server cluster in a hybrid computer network. The system authenticates and redirects the user request via a proxy service to a selected computer network configured in the hybrid computer network. The system instantiates the server cluster in the selected computer network causing the server cluster to initiate a microservice agent during bootup. The system sends a command to the server cluster to initiate the execution of a process and receives from the microservice agent event data associated with the process. The system inputs the event data into a trained machine learning model to determine a first execution state of the process and sends a command to change the first execution state of the process to a second execution state.

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Bengaluru, India

Krishnaprasad Narayanan