Most data is raw and needs to be shaped into usable features that highlight signal and minimize noise. “Feature engineering” is the most important part of real-world data science, paving the path from raw data to valuable insights.
We expect AI to create $13 trillion of GDP growth by 2030 across industries such as manufacturing, agriculture, energy, and pharma.
The expectation that AI applications should all be glamorous can cause people to miss the considerable impact that Data Science is having now (on companies that embrace it).
