Machine Learning for Asset Management

About the Client

The client is a EU-based startup company. They use an automated approach to monitor their installations for utility companies. Their main objectives are managing assets and improving maintenance processes using fast drones.

Business Challenge

The client collects images of the objects maintained using drones. The images are collected at high speed, and not all the images contain useful information. This increases the need for a human workforce to filter the images before processing.

The business challenge was to improve the

Strata+Hadoop World NYC 2015 Reflections

Machine learning, cloud, visualization, Hadoop, spark, data science, scalability, analytics, terabytes, petabytes, faster, bigger, more secure, simply better. The kind of a merry-go-round that keeps spinning in your head after you spend three days on the exhibit floor at Strata+Hadoop conference. And lots of elephants, of course.

Not only did we attend Strata with fellow colleagues from DataArt and DeviceHive, we also helped our friends at Canonical and brought our demo to their booth. Canonical was showing Juju: a cloud infrastructure