Intelligence situational awareness

Patent metadata

Field	Value
Publication number	US-2020004751-A1
Application number	US-201916391483-A
Country	US
Kind code	A1
Filing date	Apr 23, 2019
Priority date	Jun 28, 2018
Publication date	Jan 2, 2020
Grant date	—

Abstract

An intelligent situational awareness framework may be provided, which may facilitate ingesting the real-time data, persisting at least some of the real-time data on a storage device, analyzing the real-time data to derive at least one insight, and generating an output associated with the at least one insight for real-time visualization.

First claim

What is claimed is:

1 . A system comprising:
at least one hardware processor; and a storage device coupled with the at least one hardware process; the at least one hardware processor operable to at least:
receive real-time data from a plurality of data sources;
ingest the real-time data;
persist at least some of the real-time data on the storage device;
analyze the real-time data to derive at least one insight; and
generate an output associated with the at least one insight for real-time visualization.

2 . The system of claim 1 , wherein the real-time data comprises at least real-time sensor data.

3 . The system of claim 1 , wherein the at least one hardware processor ingests the data by transforming and cleansing the real-time data into a format for analyzing.

4 . The system of claim 1 , wherein the at least one hardware processor executes an artificial intelligence model to analyze the real-time data.

5 . The system of claim 1 , wherein the at least one hardware processor trains an artificial intelligence model based on the real-time data.

6 . The system of claim 1 , wherein the at least one hardware processor interfaces with a plurality of user functionalities.

7 . The system of claim 6 , wherein the plurality of user functionalities comprises data engineering, data science, analysis and application development, wherein the hardware processor allows for data sharing and collaboration among the user functionalities.

8 . The system of claim 1 , wherein the at least one hardware processor recommends an action based on the at least one insight.

9 . A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
receive real-time data from a plurality of data sources; ingest the real-time data; persist at least some of the real-time data on a storage device; analyze the real-time data to derive at least one insight; and generate an output associated with the at least one insight for real-time visualization.

10 . The computer program product of claim 9 , wherein the real-time data comprises at least real-time sensor data.

11 . The computer program product of claim 9 , wherein the processor is caused to transform and cleanse the real-time data into a format for analyzing in ingesting the data.

12 . The computer program product of claim 9 , wherein the processor is caused to execute an artificial intelligence model to analyze the real-time data.

13 . The computer program product of claim 9 , wherein the processor is caused to train an artificial intelligence model based on the real-time data.

14 . The computer program product of claim 9 , wherein the processor is caused to interface with a plurality of user functionalities.

15 . The computer program product of claim 14 , wherein the plurality of user functionalities comprises data engineering, data science, analysis and application development, wherein the processor is caused to allow data sharing and collaboration among the user functionalities.

16 . The computer program product of claim 9 , wherein the processor is caused to recommend an action based on the at least one insight.

17 . A method comprising:
receiving real-time data from a plurality of data sources; ingesting the real-time data; persisting at least some of the real-time data on a storage device; analyzing the real-time data to derive at least one insight; and generating an output associated with the at least one insight for real-time visualization.

18 . The method of claim 17 , wherein the ingesting comprises transforming and cleansing the real-time data into a format for the analyzing.

19 . The method of claim 17 , further comprising executing an artificial intelligence model to analyze the real-time data.

20 . The method of claim 19 , further comprising retraining the artificial intelligence model based on the real-time data.

Assignees

• IBM

Inventors

• Stennett Steve Marshall
• Talley Jeffrey W

Classifications

• G06F16/24568 Primary

  Data stream processing; Continuous queries · CPC title

• G06N20/00 Primary

  Machine learning · CPC title