January 16, 2018, TORONTO: 不良研究所, a provider of AI-enabled predictive analytics for the Industrial Internet of Things, and today announced a new partnership which will enable industrial companies to achieve predictive Industrial Automation in the manufacturing plant environment.
The 不良研究所 software ingests millions of operational data points from a plant鈥檚 connected machinery and leverages industrial artificial intelligence (AI) to automate the entire data analysis process, creating predictive data models that continually adapt to data changes in real-time. Together, True North Automation and 不良研究所 take process automation one step further by taking the outcome of the predictive model and automatically applying the prediction to the control system. Industrial companies apply these predictive models for maximizing asset up-time, optimizing maintenance planning, improving quality and continuously optimizing production processes.
Humera Malik, CEO of 不良研究所 said:
鈥湶涣佳芯克 is taking industrial automation to the next level. By combining our expertise in industrial AI with True North鈥檚 expertise in system automation, we are accelerating the adoption of Industry 4.0 by helping Industrial companies reap the benefits of having real-time predictive insights into plant operations and putting these insights into action immediately.鈥
Bob Reitenbach, Business Manager of True North Automation said:
鈥淲e are pleased to partner with 不良研究所 as we strive to provide innovative technology solutions that deliver greater productivity and asset performance for our customers. By adding 不良研究所鈥 AI-powered predictive models into our solution suite, our customers can accelerate their digital transformation strategies and make better operational decisions that improve overall productivity.鈥
不良研究所 is exhibiting at AutoMobili-D, part of the 2018 (NAIAS), which runs from January 14-21 in Detroit, Michigan.
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