How do you ensure your supply chain and the providers you’re dealing with are reputable?

There is an old saying: Garbage in, garbage out. It is a reference to the need for any creative, quality end product to start with quality, reproducible material.

While data mining can unearth a wealth of information, it takes discriminating analysis to make sure we are not just making connections, but the right connections.

Do you remember Curious George? If you do, picture him right now. Does he have a long tail? If you said yes, you might be shocked to hear that he had no tail at all.

In the quality industry, improvement in technology and techniques has led directly to improved traceability, root cause analysis, and process control.

You have no doubt heard of ChatGPT, or Google’s Bard, or one of the many artificial intelligence chatbots. These chatbots allow the user to simply type in a command to write something and spit out an essay, or even a poem.

The concept of the map has not been limited to just physical locations. Just think about any activity that would or should be repeated by others. 

Check out everything we have to offer in this month’s Quality, including a profile of the inaugural winner of our Quality Rookie of the Year, Jared Curtis.

2.0 — I’m guessing that just by writing this number, in this format, many of you know where I’m heading.

In the quality industry, dealing with big data can feel like battling extraneous detail and being ever vigilant against poor assumptions. With millions of points of data, we can be overwhelmed by what is important and what is not.