Blog Archives - Page 13 of 29

Three Key Differences Between Smart Manufacturing and Digital Manufacturing

by thinkiq | Jun 7, 2022 | Blog

The Fourth Industrial Revolution, aka Industry 4.0, has brought with it many technological advancements that have transformed the global manufacturing landscape in remarkable ways. But for companies who have yet to make the digital transformation, the exact meaning of...

Machine Learning For A Streamlined, More Efficient Manufacturing Data Center

by thinkiq | Jun 1, 2022 | Blog

As the Industry 4.0 digital transformation (aka Smart Manufacturing) progresses, more and more manufacturing industries are seeking to optimize data collection and analysis in order to utilize data to its maximum potential. Data centers are essential for storing and...

ThinkIQ At Smart Manufacturing Experience June 7-9, 2022

by thinkiq | May 30, 2022 | Blog

Join ThinkIQ at the Smart Manufacturing Experience June 7-9 in Pittsburg, PA. at our booth #626 and then check out ThinkIQ CEO Doug Lawson present on Tuesday, June 7 at 11: 25am ET:

Realtime Reporting On Critical Activities And Events For Manufacturing

by thinkiq | May 25, 2022 | Blog

What’s the bedrock of a manufacturing business that runs smoothly and efficiently? Realtime reporting. Managers of manufacturing enterprises need to know what’s happening with their operations, the granular details that illuminate progress, process, and potential...

Computer Vision Can Reduce Accidents and Avoid Injuries

by thinkiq | May 20, 2022 | Blog

Machine Learning trained to watch for anomalies as part of a Safety Management System When I started working summer jobs in construction and later worked as a materials/supply chain manager in back in the 1970’s, workplace safety was often an afterthought. I recall...

How Traceability And Manufacturing Software Improves Efficiency

by thinkiq | May 18, 2022 | Blog

Efficiency is a top priority for manufacturers in every industry. From the mining industry to the pharmaceutical industry, the chemical industry to the food & beverage industry, manufacturers want to know how to get more done, in less time, with fewer...