Your Data Does Not Have to Be Big

Your Data Does Not Have to Be Big

In fact, certain algorithms work well with smaller datasets.

Some models do require big datasets to deliver significant predictive power. But don’t assume that you need hundreds of feature columns or millions of rows. We’ve seen surprisingly usable accuracy from as few as a hundred rows and a dozen columns.

Data is Different. AI Must Be Too.

Experiment.

The whole point of using machine learning is that AI is better at finding patterns in data than legacy methods. Try different algorithms and see if you converge on reasonable prediction accuracy with whatever data you already have at hand. AI may or may not produce actionable predictions.  Regardless, you’ll learn a great deal about how much data and which features will ultimately make you most successful.

Get started now. Waiting for your fantasy, all-encompassing datasets will leave you permanently behind the curve.