Falkonry, leading provider of operational machine learning, announced the launch of its Falkonry Edge Analyzer at Gartner Data and Analytics Summit 2019 in Frankfurt. 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.
According to CEO and founder Nikunj Mehta, Falkonry Edge Analyzer is a pre-packaged machine learning tool that enables pattern discovery, predictive analytics and explanation to improve uptime, performance, quality and safety – without requiring data scientists.
CEO and founder Nikunj Mehta, Falkonry
Before using Falkonry, companies often found themselves stuck in proof of concepts without a clear path for scaling to production,
The new Edge Analyzer is available as part of Falkonry’s “pre-packaged” machine learning system, Falkonry LRS. It automatically solves the complex problem 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.
Author: Tim Cole
Image Credit: Falkonry
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