We were asked if we can provide better information to utility customers regarding outages. The goal was to provide more accurate estimates, thus improving customer service, and avoid or minimize situations like this: We fed available historic information from GIS and OMS into a machine learning model. While not "big data", more than a 100000 individual [...]
We are thrilled to announce Steve Severance has joined Cliffhanger Solutions as a Senior Consultant. Steve has a Bachelor of Science in Electrical Engineering Technology from the University of Maine. He has over 25 years of utility experience and has worked with Smallworld GIS for more than 20 years. During that time he has been [...]
Shortly after deploying our A.I. module, an anomaly was detected. The tool, designed to assist utilities to optimize inspections through machine learning, is using a classification model to separate 'good' poles from 'bad' ones. This can then be used to predict which (un-inspected) poles should be inspected next, saving time and money, preventing outages etc. [...]
Google has an "I'm feeling lucky" button that takes you directly to the first search result. In a perfect world, when a user enters a search term, the first result(s) should be what the user intended to find. However, this is easier said than done. Search results are ranked by relevancy and are dependent on a large number [...]
Our goal, as engineers, is to come up with ideas on how to do things better, more efficient, while saving cost at the same time. Several of our clients use GPS for fleet management. A GPS device is installed in (maintenance) trucks, and data is collected and visualized on some dashboard applications. In the same vehicles, they also use tablets running our mapping software.
Fleet tracking using GPS
This eliminates the use of a dedicated GPS device and all the associated back-end software, servers, etc. And if you still want to use existing dashboards, simply use our platforms API to derive the data. One of the data sources is, you guessed it, is GPS. After some thinking we thought this was kind of silly: so we have a GPS device, sending data to a central location, which is then being ‘downloaded’ back into the trucks? But tablets and smartphones (both Android and iOS) have GPS build in. And the App is already sending data back and forth. So it doesn’t take a genius to realize that we can easily have the App to share its current location, to be shared an processed between users.
