Canvass Analytics, a provider of AI-enabled predictive analytics for the Industrial Internet of Things, and True North Automation have announced a new partnership designed to enable industrial companies to achieve predictive industrial automation in the manufacturing plant environment.
The Canvass Analytics software ingests millions of operational data points from a plant’s 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 Canvass Analytics 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 Canvass Analytics said: “Canvass Analytics is taking industrial automation to the next level. By combining our expertise in industrial AI with True North’s 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.”
Bob Reitenbach, Business Manager of True North Automation said: “We are pleased to partner with Canvass Analytics as we strive to provide innovative technology solutions that deliver greater productivity and asset performance for our customers.
“By adding Canvass Analytics’ 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.”
Canvass Analytics is exhibiting at AutoMobili-D, part of the 2018 North American International Auto Show (NAIAS), which runs from January 14-21 in Detroit, Michigan. For more information please visit www.canvass.io
