Building a full-stack data science team
Fair to say that almost ten years after Harvard Business Review declared data scientist the sexiest job of the 21st century, many companies still don’t know how to build an effective data science team. One reason I joined The Mom Project to lead their data science team was that they had already established themselves as…
Can an AI provide what talk therapy needs to work? Or are humans required?
What are the prospects for offering AI-only counseling? A consideration of how necessary humans are in talk therapy effectiveness.
Data scientist hiring tip: Build your machine learning pipeline first
Before hiring a data scientist, consider building out a full ML pipeline with your existing data engineering and DevOps staff.
Who will do MLOps? Data teams, DevOps, or a new role?
MLOps is a new and evolving area full of challenges and possibilities. It is new enough that it is unclear exactly what it will look like in a few years as more engineers and companies start to implement it.
Natural language processing hits and misses: Learnings from our alpha launch
There’s a need for faster, easier, better ways to get natural language processing capabilities out in the world. We’re looking to figure out how.
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