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Over its 140-year history, automotive manufacturing technology has evolved in parallel with progress in the vehicles themselves. Early automakers custom made individual “horseless carriages.” Later, standardized parts and moving assembly lines delivered mass-produced cars. Development of integrated transfer lines enabled part runs to extend for years.

What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.

Gear maker Osvald Jensen knew it needed to speed up work and improve its performance and productivity by shaving seconds off its run time while ensuring round-the-clock up-time on its machinery.

A conversation between Inspekto CEO Harel Boren and Editor in Chief Brett Brune.

What is tribal knowledge and why should a company care? It is valuable, exclusive information stored only inside someone’s mind and communicated only verbally (if at all). The “someone” may have played an important role in an organization for decades and knows a thing or two that the company treasures yet cannot duplicate.

The value-add of blockchain for businesses is estimated to grow into the trillions by 2030. Experts believe product recalls alone—estimated to cost $8 million today—could be practically eliminated through improved track and traceability enabled by blockchain.

There is an ever-increasing demand for the individualization of products from today’s consumer. When consumers are able to get exactly what they want (shape, size, color) they are more satisfied and more likely to do repeat business. But how do you scale custom part production?

The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.

Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible.

Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.