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Safety Plus Quality: Why Join Forces Now?

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LNS Research published its research, “Driving Operational Performance With Digital Innovation: Connecting Risk, Qu

Why Quality Is Now Aligned With Development at the Outset of Projects

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Historically, quality in a process was something that was done at the end of the line. You inspected your widget once it was made, and if it had flaws, you fixed it or threw it out.

Inside <em>Quality Digest Live</em> for Sept. 21, 2018

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IMTS was a blast, but it was great to be back home in lovely Northern California this week. On this episode of QDL, we covered the skills that workers need and the innovations that organizations want.

How Will Google’s Innovation Continue Beyond Its 20th Year?

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As millions of people came online iduring the late 1990s, they needed help figuring out what each web page was about, and how to find what they were looking for. Web indexes and search engines sprang up.

How the Mayo Clinic Built Its Reputation As a Top Hospital

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‘How is it that in the middle of a relatively small town of about 125,000 people in Minnesota, you’ve got the No. 1-rated healthcare system probably in the world?”

Inside Quality Digest Live for September 12, 2018

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With more than 110,000 expected attendees, IMTS is Chicago’s hottest suburb this week.

Inside Quality Digest Live for Sept. 11, 2018

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We arrived in Chicago over the weekend to luxuriously appointed accommodations and much fanfare (that’s how it is when you’re the cast and crew of the No. 1 talk show in the quality industry).

Inside Quality Digest Live for Sept. 7, 2018

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IMTS is almost here, so we previewed the show, considered an important industry-academia partnership within manufacturing, and asked serious questions about the nature of motivation. Let’s take a look:

 IMTS Preview

Small-Business Owners Are Getting an Incentive to Sell to Their Employees

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T

he federal government just made it a lot easier to form an employee-owned business.

More Efficient Security for Cloud-Based Machine Learning

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A novel encryption method devised by MIT researchers secures data used in online neural networks, without dramatically slowing their runtimes.

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