Canadian Manufacturing

Manufacturing Automation: Deconstructing data: Sight Machine pushes for continuous improvement

An AI-backed application makes sense of disparate data by reorganizing it into universal manufacturing concepts

September 17, 2020  by Manufacturing Automation

Photo: Getty Images

Over the past several years, there’s been what Jon Sobel, CEO and co-founder of a manufacturing data platform called Sight Machine, calls an “explosion” of Industry 4.0 technologies.

“Everybody’s trying to get out of pilot land and get to scale and impact – to some outcomes in the business that matter,” he says.

As a result, the market is teeming with apps promising to use artificial intelligence to improve plant performance. But unless there’s a way to correlate data from different sources in a common language that can be interpreted by the AI, these products may be watered-down solutions to complex manufacturing goals such as avoiding downtime, reducing maintenance costs, improving operational efficiency and predicting asset failure.

Read more on Manufacturing Automation, one of Canadian Manufacturing‘s sister publications.


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