One post tagged with "machine-learning"

Machine Learning (ML) is no longer just a research field or a niche corner of data science teams. Today, it's deeply embedded in products we use daily — be it your Uber ETA, Instagram feed, Netflix recommendations, or fraud detection in fintech. And the real magic behind deploying these models reliably, at scale, lies in how companies build their internal ML platforms.

In this post, we dive deep into how different organisations — ranging from tech giants to startups — are architecting their ML systems. We've compiled insights from real-world case studies, open-source projects, and platform blueprints to show how companies are solving the same problem with wildly different approaches.