Data Engineering for Smart Automation
July 29th, 2020
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Machine Learning finds patterns in ways that are impossible for humans, specially when large amounts of data are available. Even though it has been around since the 1950's, it has become very hyped during the last decade because its value can now be materialized at scale due to the explosive increase in data production and computational power, and the massive decrease in computational costs. In this post we go through a high-level view of Machine Learning for Smart Automation, and provide actionable recommendations.
In our course "Building a Time-Series Forecasting System" we show how to create the time-series forecasting system that we will use in this course to build a Failure Prevention System. The principles apply all the same with any time-series forecasting system you may want to use, as long as it supports multi-variate time-series forecasts in real-time. By the end of the course, you'll be equipped to use a system like this within your company to reduce your workloads when it comes to fixing your own systems.