During my career as an automotive engineer at Ford Motor Company in the early 2000s, world-class vision system technology was already routinely being used for various applications on programs and production. However, the automation around the analysis had not yet come full circle. Today, it has. And with the latest iterations of smartphones for facial recognition and other functionality, most anyone with a smartphone already has a device using . Machine and computer vision are also being used in applications such as satellite geo-analytics, food safety and processing, agriculture operations, augmented reality, human emotion analysis, medical diagnostics, robotic guidance, quality control, transportation coordination, utilities, security surveillance, and more.

As the technology proliferates across new sectors, it will be critical for business leaders to assess how

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