Latest on the tech blog: how we democratized machine learning on the platform.
ML has been a Nextworld capability for a while, but it used to require someone who understood data science to make it work in production. This post is the story of how we changed that with AutoML, what we learned along the way, and why traditional ML still matters in a world obsessed with LLMs.
Put down the logic blocks for a minute and give it a read, will ya?