Nearly all applications related to sensor and machine data aim to improve operational efficiency. For example in manufacturing plants, understanding what contributes to unscheduled downtime, and thus productivity, is a prevalent use case. Factors impacting quality and reducing scrap product…
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…
Technology landscapes like these are "eye charts". While meant to classify vendors and technologies, when viewed from a distance they convey the message that selecting technologies is a daunting and overwhelming exercise. Matt Turck from Firstmark Capital recently updated his…
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…
Originally published by Tom Davenport at the Wall Street Journal blog. The press and blogosphere are full of references to “The Internet of Things” or even “The Internet of Everything.” It’s great to connect inanimate objects to the Internet, of course…