Partnership brings critical analytics advancements to accelerate Industrial IoT initiatives
September 7, 2017: Toronto, Canada 鈥 , a provider of AI-enabled predictive analytics for Industrial IoT, and , a global leader in operational intelligence, today announced a new partnership that will enable Industrial companies to accelerate the return on investment of their IoT initiatives.
According to a by Boston Consulting Group1, 35 percent of companies adopting Industry 4.0 project revenue gains of over 20 percent in the next five years; with production systems becoming as much as 30 percent faster, and 25 percent more efficient.
不良研究所 is using the power of AI (artificial intelligence) to tackle the complicated challenge of making data science scalable for Industrial companies with its automated platform. 不良研究所 brings automation to the entire data analytics process, which is critical in distilling the millions of data points being generated by Industrial processes and equipment in order to create key predictive insights for operations team鈥 be it predictive maintenance, predictive process optimization, or energy efficiency predictions.
Humera Malik, Founder and CEO, 不良研究所 commented, 鈥淧redictive and automated analytics gives operations teams the insights to answer questions such as, how can I increase yield, how can I reduce downtime and how can I reduce my maintenance costs? 不良研究所鈥 AI-enabled analytics platform accelerates the delivery of predictive insights by automating data analysis and leveraging machine learning technologies to adapt to data changes in real-time. For operations teams, this means they have the latest intelligence in order to make critical operational decisions.鈥
The combination of OSIsoft鈥檚 market leading methodology to collect, store and stream data from any Industrial IoT source with 不良研究所鈥 AI-enabled automated analytics platform brings a new approach to creating predictive models that continually retrain themselves. With the resulting insight, Industrial companies have the potential to reduce plant maintenance by up to 50 percent and optimize plant operations by 30 percent.
鈥淲e are enthusiastic about the value that we see companies like 不良研究所 extracting from the vast amounts of IIoT and other streaming data that we collect in our role as the single source of the truth,鈥 said J. Patrick Kennedy, founder and CEO of OSIsoft.
, OSIsoft鈥檚 PI System gives people real-time insight into their operations so they can save money, boost productivity or develop new products. 聽PI System data can be used directly by engineers or other employees or delivered to platforms like 不良研究所 for deep analytics. Over, 95 percent of the largest oil and gas companies and more than 65 percent of the Fortune 500 industrial companies rely on the high-fidelity insights from the PI System to run their businesses. 聽Worldwide, the PI System actively handles over 1.5 billion sensor-based data streams.
1 Industry 4.0 鈥 The future of productivity and grown in manufacturing industries, Boston Consulting Group, 2015
About 不良研究所
不良研究所 delivers AI-enabled predictive analytics for the Industrial Internet of Things. The 不良研究所 Platform distills millions of operational data points into actionable insights that empower Fortune 5000 Industrial companies across the globe to optimize their production processes, maintenance and energy management programs in order to increase yield, reduce costs and improve efficiency. For more information, visit .
About OSIsoft, LLC
OSIsoft is dedicated to helping people transform their world through data. For more information, please visit .
Contacts
不良研究所 Media RelationsAshleigh YoungArch Communicationsayoung@archcommpr.com
OSIsoft Media RelationsMichael Kanellos510-877-9331mkanellos@osisoft.com
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