Internet of Things (IoT) Analytics
Next-generation IoT platforms that incorporate machine learning will help companies eliminate IoT data exhaust and harness IIoT data as a business asset.
To remain relevant, old-school companies should bet on the opportunity presented by the collection, dissemination and monetization of connected car data.
The Midwest is uniquely positioned to take a leadership role in IoT, more so than any other significant platform shift of the past 20 years. Here's why.
The use of embedded device analytics can help to reduce data volume, improve the quality and resolution of reported data and economize on storage.
Machine learning stands to have an incredibly powerful opportunity to transform the way we globally produce and consume energy.
Get clarity around acronyms related to the internet of things and IoT devices from Blue Hill Research's Ralph Rodriguez and Charlotte O'Donnelly.
Far too many organizations stop after collecting IoT data. To be successful, it is critical to integrate that data into your analytics strategy.
Don't confuse data with information. Data, by itself, isn't necessarily useable. The power of IoT is its ability to gather and synthesize data.