If you have a smart factory initiative you likely use sensor data from a historian system like PI from OSISoft. Using that data in a predictive sense can help improve OEE (overall equipment effectiveness: availability; performance; quality). The classic examples…
The applications of IoT data are many, as you can see here. The most touted application is predictive maintenance: foretelling when an asset such as a machine or component might encounter a fault, or fail outright. Sometimes we are not…
This is the time of year when many people are taking vacations. Be careful! Did you know that some workplace safety incidents can be tied to employees returning to work from their vacation? Well, this is true at times, but…
First Analytics will presenting to entrepreneurs who are members of the mHUB manufacturing innovation center in Chicago. The topic is, "Building Machine Learning into Your Product ." The event is open to the public, so if you have the opportunity…
We will be an exhibitor at IoT World 2017 in Santa Clara for the second year in a row! Please stop by and say hello, and we can discuss some of your ideas on how to leverage data from sensors,…
Yes, everybody’s talking about analytics and the Internet of Things (IoT). A recent Gartner hype cycle places the “Internet of Things” squarely at the top of the so-called “peak of inflated expectations.” Nearby, just a little down the slope on either side,…
Originally published by Tom Davenport in Teradata Perspectives at Forbes.com There is widespread agreement that the Internet of Things will be a transformative factor in the business use of information. The prospect of billions of connected devices promises to transform home activities,…
Initially published by Tom Davenport on Data Informed. A few years ago, while working with DJ Patil (now the Chief Data Scientist of the U.S. Office of Science and Technology Policy) on an article about data scientists, he related to me a…