Sap Se

Ankita Prabhu

Aavishkar Bharara

Bhavneet Kaur

Ashwani Kumar Luhaniwal

Ramya K S

Anil Rao Arun

Deepanshi Katoch

Anbarasu Ayyasami

Shrijan Shrivastav

Systems and methods include receiving an exception raised by a database storage system in response to a database operation requested by an application, providing, in response to the exception, the application with a pointer to a failover framework comprising a memory store, receiving, from the application and at the failover framework, a request to write first data, storing, in response to the request to write first data, the first data in a tree structure of the memory store in chronological order, receiving, from the application and at the failover framework, a request to read second data, and, in response to the request to read second data, sorting the tree structure primarily by user and secondarily by chronological order and reading the second data from the sorted tree structure.

Failover system for database unavailability

A significant correlation framework is provided herein for translating input commands to intents. The input commands may be natural language commands, received from a variety of input channels, which may be translated to intents or other runtime-bindable execution objects. The significant correlation framework may use interpreter nodes for translating the input commands by calculating the strength of correlation between an input command and an intent. The significant correlation framework may analyze the sequence of intents or the timing of translated intents to enhance the accuracy of the translation. The significant correlation framework may maintain a history of command translations, and may compare current translations against the history to improve accuracy of the translations. The significant correlation framework may switch between a depth-first mapping method and a breadth-first mapping method. Depth-first mapping may translate commands through a single interpreter node. Breadth-first mapping may translate commands using multiple interpreter nodes.

Significant correlation framework for command translation

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Kumta, India

Ankita Prabhu