- March 22, 2019
March 22, 2019 – Falkonry announced the launch of its Falkonry Edge Analyzer while attending the Gartner Data and Analytics Summit. The Edge Analyzer is a portable self-contained engine that enables customers to deploy predictive analysis on edge devices for low latency applications in disconnected environments or close to data sources. The Edge Analyzer is available as part of Falkonry’s “pre-packaged” machine learning system, Falkonry LRS. Falkonry LRS enables operations teams to create and deploy predictive analytics in the cloud or on-premises or on the edge - without requiring data scientists.
Falkonry LRS enables operations teams to discover, explain and predict behaviors that matter without requiring data scientists. The automated feature learning solves complex problems of applying machine learning on time series data saving time and building accurate predictive models. The explanation feature gives insight into model results, quantifying signal contribution and enabling SMEs to perform root cause analysis.
Edge Analyzers can be created in Falkonry LRS and transported for installation in remote or mobile environments. Minimal resource requirements allows for operation in constrained environments. They are configurable for availability and can tolerate sensor and network outages. Use of containers enables runtime to be insulated from other processing activities. Each Edge Analyzer can be used to monitor multiple edge endpoints, and several Edge Analyzers can be deployed on a single computer to support multiple assessments. Each Edge Analyzer includes a perpetual use license.