EDGE COMPUTING WITH ARTIFICIAL INTELLIGENCE AND ADVANCED ANALYTICS
An example computer system for using edge computing to enhance artificial intelligence and advanced analytics can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to: provide a data layer including a data source; use an edge computing layer to pre-process data from the data source; perform the artificial intelligence and advanced analytics on the data to form insights into the data; provide the insights to a data center or a cloud computing environment located remotely from the data source; and perform further artificial intelligence and advanced analytics on the insights at the data center or the cloud computing environment.
1 . A computer system for using edge computing to enhance artificial intelligence and advanced analytics, comprising:
one or more processors; and
non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to:
provide a data layer including a data source;
use an edge computing layer to pre-process data from the data source;
perform the artificial intelligence and advanced analytics on the data to form insights into the data;
provide the insights to a data center or a cloud computing environment located remotely from the data source; and
perform further artificial intelligence and advanced analytics on the insights at the data center or the cloud computing environment.
2 . The computer system of claim 1 , wherein the data layer includes a plurality of different data sources.
3 . The computer system of claim 1 , wherein the edge computing layer includes a plurality of different edge computers to pre-process the data.
4 . The computer system of claim 1 , comprising further instructions which, when executed by the one or more processors, causes the computer system to provide edge services in the cloud computing environment.
5 . The computer system of claim 4 , wherein the edge services are positioned between the data source in the cloud computing environment and the data center.
6 . The computer system of claim 1 , wherein the cloud computing environment is positioned at a location remote from the data center.
7 . The computer system of claim 1 , wherein the data source is unstructured, semi-structured, or structured data including customer data.
8 . The computer system of claim 7 , comprising further instructions which, when executed by the one or more processors, causes the computer system to use the edge computing layer to predict customer behavior as part of the insights.
9 . The computer system of claim 1 , wherein the artificial intelligence and advanced analytics are programmed to predict, classify, and detect anomalies associated with the data.
10 . The computer system of claim 1 , wherein the artificial intelligence and advanced analytics are programmed to provide predictive modeling.
11 . A method for using edge computing to enhance artificial intelligence and advanced analytics, the method comprising:
providing a data layer including a data source;
using an edge computing layer to pre-process data from the data source;
performing the artificial intelligence and advanced analytics on the data to form insights into the data;
providing the insights to a data center or a cloud computing environment located remotely from the data source; and
performing further artificial intelligence and advanced analytics on the insights at the data center or the cloud computing environment.
12 . The method of claim 11 , wherein the data layer includes a plurality of different data sources.
13 . The method of claim 11 , wherein the edge computing layer includes a plurality of different edge computers to pre-process the data.
14 . The method of claim 11 , further comprising providing edge services in the cloud computing environment.
15 . The method of claim 14 , wherein the edge services are positioned between the data source in the cloud computing environment and the data center.
16 . The method of claim 11 , wherein the cloud computing environment is positioned at a location remote from the data center.
17 . The method of claim 11 , wherein the data source is unstructured, semi-structured, or structured data including customer data.
18 . The method of claim 17 , further comprising using the edge computing layer to predict customer behavior as part of the insights.
19 . The method of claim 11 , wherein the artificial intelligence and advanced analytics are programmed to predict, classify, and detect anomalies associated with the data.
20 . The method of claim 11 , wherein the artificial intelligence and advanced analytics are programmed to provide predictive modeling.