At least every few years, utility companies release squadrons of drones into the skies to digitally photograph hard-to-reach equipment and check for wear and tear. Around the world, there are 3 million miles of high-voltage transmission lines – enough to go from the moon and back half-a-dozen times – and as much as 64 million miles of local transmission lines; that represents a lot of images, and even more data.
Last week ThoughtSpot took big steps toward further focusing our pricing on a single metric: customer value. In the course of my career, I’ve worked at many companies, and seen countless products, packages, and editions launched. Often, these initiatives are guided by what’s in it for the company: how do we get better margins, cross or upsell products together, or maximize revenue?
This is part 3 of our 3-part Hyperparameter Optimization series, if you haven’t read the previous 2 parts where we explain ClearML’s approach towards HPO, you can find them here and here. In this blog post, we will focus on applying everything we learned to a “real world” use case.
