In mid-2017, in Seoul, South Korea, Falkonry CEO, Nikunj Mehta, appeared at the world’s largest start-up Demo Day , sponsored by SparkLabs. He presented Falkonry’s world-changing technology and described how these innovations can help accelerate continuous improvements of operations through condition recognition of time-series industrial data.
Keywords: industrial IoT, industrial pattern analytics, industrial condition recognition, industrial pattern recognition, quality, uptime, yield, uptime, performance, creating more revenues and profits, improve throughput, customer issue, problem with ore grade, loss production, cost effective.
Keywords: recognize invisible warning signs, classify conditions, 12-hour advanced warning, confidence grows, revenue & profits increase, spiral-up effect, condition recognition, industrial predictive analytics, empowers existing staff, real-time results, time-series pattern recognition, more conditions monitored, predictions get better, democratizes industrial IoT.
Keywords: automated, pre-packaged, time-series pattern recognition, machine learning, horizontal, general, practitioner, multi-system, industry, chemicals, energy, mining, automative, reliable, actionable early warning, industrial pattern recognition, predictive analytics without a data scientist, power technology leader, heavy equipment manufacturer, chemicals maker, electric utility, deep expertise, computer science, artificial intelligence, mechanical engineering, electrical engineering, nuclear engineering, operational data, labeling patterns, recognizing conditions, IIoT, 4.0.
Scott Schemmel, CIO, Head of IT at Ciner
Keywords: alignment, digital transformation, value creation, predictive maintenance, IIoT, process optimization, asset health, market value, OsiSoft PI, Microsoft, Falkonry, matter of weeks
Jolene Baker, SMART Plant Lead, PI Admin at Ciner
Keywords: soda ash, ore grade variance, process operators, impurities, grade separation, particle size, expensive losses.
Wyatt Keller, Process Engineer at Ciner
Keywords: existing signals, inconsistent data, traditional analytics not working, Falkonry trial, no data scientists, SME, analytics, visual patterns, categorizing, labeling, adding context, operating conditions, less reactive, more proactive, enlightenment.
Keywords: two month timeframe, ore grade increases, positive operator feedback, significant benefits, visibility, confidence, tons more production, relatable visual patterns, data science in software not data scientists, cost savings, top line revenue growth, opportunity, time to institutionalize.
Scott Schemmel and Jolene Baker from Ciner
Keywords: quicker alarm reactions, more collaboration, empowering, operators, subject matter experts, improvement iterations, detecting operational anomalies, justified our hypotheses, Falkonry with PI, identifies 1st, 2nd, 3rd-level problems, incredible.
Industrial Predictive Analytics
1307 S. Mary Ave. #215
Sunnyvale, CA 94087 USA
+1 (408) 461-9286
© 2013-17 All rights reserved. Falkonry Inc.
All rights reserved. Falkonry Inc