Talk of automation in manufacturing tends to focus on industrial robots , for obvious reasons. The market is growing at an unprecedented pace and vague worries about job loss due to automation— however misguided —often take shape in visions of robots replacing individual workers on production lines.
However, there’s a much less tangible form of automation that’s poised to make an even bigger impact on manufacturing in the near future: () . The concept is notoriously difficult to pin down. “I would say it’s as difficult to define as intelligence itself,” noted Philippe Beaudoin, SVP research at Element . But for manufacturers, what matters most is what can do.
Manyfold applications of
The technology is already seeing applications in construction and additive manufacturing , as well as self-driving vehicles and industrial . Broader applications for , ones that could be particularly useful in manufacturing, include analyzing large datasets and predictive maintenance . Of course, most manufacturers aren’t interested in becoming experts, which is where Element comes in. Offering “ as a Service”, the company provides applications that allow users to leverage to tackle a variety of challenges, from recognition to automated decision making.
Making good use of data
Element primarily works with clients that already have large data sets—such as the shipping schedules for busy ports or production data from factories—rather than gathering that data independently. This lets the company focus on building that can, for example, interpret high-frequency time series from distributed sensors on a production line to make maintenance recommendations. As an added benefit, this allows Element to improve its systems with each new project the company takes on. That approach seems to be paying off: almost a year ago, the Montreal-based start up had eight employees. Today, after over $100 million USD in series A funding from the likes of Intel, Microsoft and NVIDIA, Element has a staff of 160. […]