Data is the lifeblood of AI. It is data that most significantly contributes to the quality of solutions powered by machine learning. A critical asset for any enterprise, data can be extremely challenging to take advantage of since: The volume of data in different forms and formats is growing rapidly; …

Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the quality of almost any ML-based product, more so than code or any other aspect. In Feature Store as a Foundation for Machine Learning, we have…

It’s so inspiring to learn from practitioners. Getting to know the experience gained by researchers, engineers, and entrepreneurs doing real ML work is a great source of insight and inspiration. Share this interview if you find it enriching. No subscription is needed. 👤 Quick bio / German Osin Tell us a bit about yourself. Your background…