Marcello De Bernardi

Why do we need an AI data scientist? In our combined ~20 years of ML work, we’ve seen the same pattern repeat: in every project, data scientists spend roughly 20% of their time understanding the business context and objectives, 60% manipulating data, and 20% building models. More often than not, that first 20% has by far the greatest impact on the project's success, while the remaining 80% is...

This looks very promising! Could I use it to build a knowledge graph of a large codebase?

Over the years Slack has gotten bloated with more and more half-baked features. Good to see a clean, sleek alternative with a powerful new AI-first paradigm!