Computing architecture for multiple search bots and behavior bots and related devices and methods

Abstract

The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This patent application claims priority to U.S. Provisional Patent Application No. 62 / 548,173, filed on Aug. 21, 2017, and titled “Computing Architecture For Multiple Search Bots And Behavior Bots And Related Devices And Methods”, the entire contents of which are hereby incorporated by reference.TECHNICAL FIELD[0002]In one aspect, the following generally relates to computing architectures for multiple search bots and behavior bots to process large volumes of data from many different data sources. In another aspect, the following generally relates to user devices and related computing architectures and methods for processing the data and outputting user interface content, including but not limited to audio content or visual content, or both.DESCRIPTION OF THE RELATED ART[0003]Our information age is growing more and more complex. In the field of “big data”, there is an increasing volume of data, an increasing variety of data, and an increasi...

AI Technical Summary

Benefits of technology

Enables the processing and presentation of extreme data from multiple sources in real-time, providing personalized and relevant information to users by filtering and transforming data based on user behavior, thus overcoming the limitations of existing systems.

Problems solved by technology

Our information age is growing more and more complex.

Using most computing systems, there is too much data to search and too much data is being created for computing systems to keep up.

This enormous complexity of data, which will continue to grow, leads to a state of “extreme data” (XD).

However, this technology is focused on web site data sources and does not take into account extreme data.

However, these information systems do not have the hardware resources or software resources, or both, to process extreme data.

Images