AI Jargon Buster
AI news and the language around it, simplified.
What is Machine Learning (ML)?
Machine Learning (ML) is a way of teaching computers to improve at tasks by studying examples rather than following a fixed list of instructions. Instead of a human programmer writing every specific rule, the system analyzes vast amounts of data to identify patterns and trends on its own. Over time, the system refines its approach based on these patterns, becoming more accurate as it processes more information. It is the foundation for most modern artificial intelligence tools used in business today, allowing software to adapt to new situations without needing constant manual updates or reprogramming by technical staff.
Why this matters to you
When a colleague says a system uses machine learning, they mean the software is learning from past data to make future predictions. This is the engine behind tools that suggest products to customers, flag suspicious bank activity, or forecast sales trends. Understanding this helps you recognize that these systems are not magic, but are instead tools that rely on the quality and variety of the data they are fed.
How you might hear this
"Our marketing team is implementing machine learning to better predict which customers are likely to renew their subscriptions this year."
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