The manufacturing industry has long relied on telemetry data to measure, evaluate, and draw conclusions about the way we produce goods. Artificial intelligence—and more practically machine learning algorithms—promise to introduce profound changes to what we can do with the data we collect from a large number of real-time telemetry sensors, video streams, and audio streams. Through machine learning that leverages new capabilities in computer vision and deep learning, discrete and continuous manufacturing processes race to take full advantage of rising digital technologies. The future of manufacturing awaits those who can successfully deploy these technologies 24/7/365 in real-time in “dirty” industrial and operational environments
