Tag Archives: machine-learning

MLOps for Small Business: From Experiment to Reliable AI in Production

Machine Learning isn’t just for the big players anymore. As tools become more accessible and open-source solutions flourish, small and midsize businesses (SMBs) are in a unique position to leverage AI without needing a massive data science team. But deploying a model isn’t the same as maintaining one. That’s where MLOps comes in—and it’s more […]

From OLAP to Vector Databases: How Data Storage Evolved for the AI Era

For decades, if you wanted answers from your mountain of business data, you went to an OLAP database. It was the workhorse behind every sales dashboard, boardroom chart, and “how the hell are we doing this quarter?” meeting. But if you’ve been paying attention, you know the world changed—and so did our data. Enter the […]

Overfitting in Machine Learning: When Your Model Becomes Too Smart for Its Own Good

Imagine teaching a student to ace a test by having them memorize the answers to one specific exam. They score perfectly—but only on that test. Give them a new one, and they crumble. That’s overfitting. In the world of machine learning, overfitting happens when a model learns the training data so well—noise, quirks, warts and […]