Industry Trends /October 12, 2018

This Week in Manufacturing: The Good and Bad of Digitization

Finish your week with the Finishpass weekly roundup. Each week, we select a handful of great reads covering advanced manufacturing and the people that make it possible.

Toyota Forging the Path for IoT Initiatives (IndustryWeek)

CIO and Senior Vice President at Toyota Material Handling, Alan Cseresznyak, plans to eventually connect every truck his company produces into a stack of real-time data. The data will be used to keep them running at perfection for their customers. In fact, he acknowledges that Toyota isn’t really strong in the data sciences area and, to rectify this, is overhauling the entire company by keeping things simple. So they are using Falkonry LRS to identify trends over time.

Read more from IndustryWeek

Coders Programming Themselves Unlimited PTO (The Atlantic)

Coders are using Reddit to admit, sometimes brag, about “coding themselves out of a job.” Which means they are automating their jobs so that they can sit at work all day and play video games or surf the web. This has started a larger conversation about weather or not these employees should be penalized for their efficiency. This article touches on the effects of digitization in the workplace on an individual level and at a macro level.

Read more from The Atlantic

Barreling Through Automation & The Skills Gap: Thoughts From Emerson Electric’s CEO (IndustryWeek)

Only 20% of industry leaders have a clear vision for this digital manufacturing transformation, though 90% believe it to be important. So, this article touches on why it’s important to develop a roadmap and push through the automation challenges. Hiring is key. Furthermore, to get new generations involved education needs to map to what’s happening in the industry. 

Read more from IndustryWeek

Anti-Woman AI Recruiting Tool (Reuters)

Amazon just realized that the program they have been building to review applicants’ resumes has a bias against women. They began building the computer models in 2014 and trained the program by submitting data about the company’s own hiring from the previous 10 years. However, because men have dominated the tech industry, they inadvertently taught their AI to weed out women. 

Read more from Reuters

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