Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! 🚀 Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow To make Kubeflow the standard cloud-native tool for MLOps within the AI landscape, the open-source community has accomplished the aggregation and integration of many projects on top of Kubernetes.
The Internet of Things (IoT) is a term for the ever growing number of internet connected devices that fall beyond the realm of your typical laptop, desktop computer or smartphone. Many of us already own and use IoT devices on a daily basis, these could be anything from "smart" versions of appliances like refrigerators, thermostats and coffee machines through to your expected IoT devices such as Amazon’s Alexa & Google’s home speakers.
Downsampling is the process of aggregating high-resolution time series within windows of time and then storing the lower resolution aggregation to a new bucket. For example, imagine that you have an IoT application that monitors the temperature. Your temperature sensor might collect temperature data. This data is collected at a minute interval. It’s really only useful to you during the day.
IoT is slowly, quietly taking over the world. A few years ago, self-ordering fridges, driverless cars, and fully automated homes seemed like the stuff of dreams. And while the technology exists, rollout and adoption is slower than anticipated, amidst security and privacy concerns. That said, IoT is the future, and growth is steady, as the challenges of building and maintaining hundreds of thousands of devices per vendor are getting solved.
