Beyond the Model: Why Data Scientists Must Embrace APIs and API Documentation

# Data Scientists Need to Learn How APIs Work—Here's Why It Matters for Your Business Data scientists often focus so much on building perfect models that they forget a crucial step: actually getting those models into real business applications where they can be used. APIs (the connectors that let different software systems talk to each other) are how models move from a data scientist's computer into your company's actual products and workflows. Learning to work with APIs means data scientists can turn their insights into tools your team can actually use, rather than reports that sit in a folder.