Trigger-based graphical output generation
AssigneeZoom Communications, Inc.
InventorTimothy Robert Thomas
Life of this patent
Estimating the term…
Abstract
Systems and methods for trigger-based graphical output generation are disclosed. A server obtains, from a client device, a data request specifying data for delivery, a delivery trigger, and a messaging address. The server obtains, in response to occurrence of the delivery trigger, the data from a data repository. The server determines, using a federated artificial intelligence engine, a visualization format for the data. The server generates a graphical output corresponding to the data in the visualization format. The server transmits, to the messaging address, the graphical output.
Claims22
A method, comprising:
- obtaining, from a client device, a data request specifying data for delivery, a delivery trigger, and a messaging address;
- obtaining, in response to occurrence of the delivery trigger, the data from a data repository;
- determining, using a federated artificial intelligence engine, a visualization format for the data, wherein the federated artificial intelligence engine comprises a plurality of different artificial intelligence engines that work together to analyze characteristics of the data and select the visualization format, wherein the plurality of different artificial intelligence engines comprise at least one language model and at least one convolutional neural network, wherein the plurality of different artificial intelligence engines work together to analyze the characteristics of the data and automatically select the visualization format based on one or more of statistical suitability, contextual relevance, and visual feature alignment;
- generating a graphical output corresponding to the data in the visualization format;
- and
- transmitting, to the messaging address, the graphical output.
A non-transitory computer readable medium storing instructions operable to cause one or more processors to perform operations comprising:
- obtaining, from a client device, a data request specifying data for delivery, a delivery trigger, and a messaging address;
- obtaining, in response to occurrence of the delivery trigger, the data from a data repository;
- determining, using a federated artificial intelligence engine, a visualization format for the data, wherein the federated artificial intelligence engine comprises a plurality of different artificial intelligence engines that work together to analyze characteristics of the data and select the visualization format, wherein the plurality of different artificial intelligence engines comprise at least one language model and at least one convolutional neural network, wherein the plurality of different artificial intelligence engines work together to analyze the characteristics of the data and automatically select the visualization format based on one or more of statistical suitability, contextual relevance, and visual feature alignment;
- generating a graphical output corresponding to the data in the visualization format;
- and
- transmitting, to the messaging address, the graphical output.
A system, comprising:
- a memory subsystem;
- and
- processing circuitry configured to execute instructions stored in the memory subsystem to:
- obtaining, from a client device, a data request specifying data for delivery, a delivery trigger, and a messaging address;
- obtaining, in response to occurrence of the delivery trigger, the data from a data repository;
- determining, using a federated artificial intelligence engine, a visualization format for the data, wherein the federated artificial intelligence engine comprises a plurality of different artificial intelligence engines that work together to analyze characteristics of the data and select the visualization format, wherein the plurality of different artificial intelligence engines comprise at least one language model and at least one convolutional neural network, wherein the plurality of different artificial intelligence engines work together to analyze the characteristics of the data and automatically select the visualization format based on one or more of statistical suitability, contextual relevance, and visual feature alignment;
- generating a graphical output corresponding to the data in the visualization format;
- and
- transmitting, to the messaging address, the graphical output.
Dependencies are inferred from the claim text.