Previous years I would have completely agreed with this post. Nowadays with the AI and ML craze I'm not so sure. I've seen plenty of companies using using vast

Previous years I would have completely agreed with this post. Nowadays with the AI and ML craze I'm not so sure. I've seen plenty of companies using using vast amounts of data to train ML models to incorporate to their products. Definitely more data that can be handle by a traditional DB, and well into Big Data territory. This isn't a value judgement about whether that's a good idea, just an observation from talking with many tech companies doing ML. This definitely feels like a bubble that will burst in due time, but for now ML is turbocharging Big Data.