News

Thoughts, announcements, white papers and other interesting articles.

Product Team Expansion!
  • 11 Sep
    2018

Product Team Expansion!

We are Cliffhanger have been expanding rapidly and for our product development team we are pleased to announce that Alex Chambers (aka Chambers), joined us back in June! Alex has a Bachelor of Science degree in Computer Science from Arizona State University. He is a software engineer who is involved with implementing client features and supporting Atlas. His...

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Wood Inspection Drill Integration: IML and Cliffhanger Solutions
  • 11 Sep
    2018

Wood Inspection Drill Integration: IML and Cliffhanger Solutions

IML and Cliffhanger Solutions are pleased to announce that Atlas is now fully integrated with the IML Wood Inspection Drill,  IML-RESI PD-Series.  This means that an inspector can now simply select a pole, drill the pole to obtain measurements upon which the results are obtained via bluetooth, associated with the inspected pole and uploaded to the back office. A Wood Inspection Drill...

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Raster Map Tiles are so 2010
  • 9 Sep
    2018

Raster Map Tiles are so 2010

Intro to Map Tiles Map tiles are used to show background or other data layers that need to be fast. Instead of rendering the whole viewport from scratch each time a zoom or pan takes place, map tiles show a mosaic of small images (typically 256x256 pixels) to build the whole viewport. Each map tile is fetched from...

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Most Powerful is not so Powerful
  • 7 Jun
    2018

Most Powerful is not so Powerful

Most solutions that bring spatial data to the field all bring the obvious functionalities, however, some like to call them 'extraordinary' or the 'most powerful.' That’s simply untrue; they aren’t the best solutions out there!  We hear that end users don't like those products, that implementation times are lengthy and costly for their customized application or that the...

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How to Improve Outage Restoration Time Estimates
  • 7 Jun
    2018

How to Improve Outage Restoration Time Estimates

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 incidents were enough...

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