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SUNNYVALE, Calif. & ORLANDO, Fla.–(BUSINESS WIRE)–Falkonry,
Inc. today 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 new Edge
Analyzer is available as part of Falkonry’s leading “pre-packaged”
machine learning system, Falkonry LRS. Falkonry LRS is now the industry’s
first predictive operations product that enables operations teams to
create and deploy predictive analytics in the cloud or on-premises or on
the edge – without requiring data scientists.
“Many organizations can benefit from a packaged analytics application
that includes embedded machine learning capabilities, especially when
pursuing a common and well-defined advanced analytics problem, such as
price optimization or fraud detection,” write Peter Krensky, Sr.
Principal, Analyst and Carlie Idoine, Sr. Director Analyst at Gartner in
the March 2018 research, How Data Science Teams Leverage Machine
Learning and Other Advanced Analytics.
“Before using Falkonry, companies often found themselves stuck in proof
of concepts without a clear path for scaling to production,” said Dr.
Nikunj Mehta, Founder and CEO of Falkonry. “The ability for operations
teams to create and deploy predictive models at the edge and on premises
has addressed the integration and skills gap challenges, while realizing
five to ten times annual ROI.”
Prediction & Explanation
Falkonry LRS enables operations teams to discover, explain and predict
behaviors that matter without requiring data scientists. The automated
feature learning solves the most 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.
Edge Analyzer
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 high 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.
“Real-time asset monitoring and predictive analytics is important to
Fluke,” said Oliver Sturrock, CTO of Fluke Digital Systems. “Falkonry’s
solution scores high in terms of architecture, scalability and
flexibility to deploy in the cloud or at the edge for real-time
insights.”
Live Demonstration at Hannover Messe
Falkonry will demonstrate the new Edge Analyzer in the Siemens
booth [Hall 9 – Booth D35] at the upcoming Hannover Messe show on
April 3 in Hannover, Germany. Attendees will see how powerful machine
learning models can be deployed on lightweight edge devices to analyze
large number of signals and predict complex conditions. These
predictions can be used to create alerts for operational control systems
or dashboards.
About Falkonry
Falkonry is the leading provider of predictive operations technology for
companies looking to achieve significant improvements in the uptime,
yield, quality and safety of their operations. Falkonry enables
operations teams to discover, explain and predict behaviors that matter,
without requiring data scientists. Falkonry’s “pre-packaged” machine
learning system, Falkonry LRS, complements a user’s domain expertise
with predictive operations technology to more deeply understand their
operations, and can scale across assets, processes and operations. For
more information about Falkonry and its products, please visit www.falkonry.com
Credit: Google News
