Machine learning is a branch of artificial intelligence where computers learn patterns from data instead of following only hand-written rules. Understanding its strengths and limits helps you choose the right projects.
How it works
A model is trained on historical examples, such as past loan applications and whether they were repaid, and then used to make predictions about new cases.
Where it works well
- Problems with lots of historical data
- Repeated decisions that follow patterns
- Tasks where small accuracy gains add up, such as fraud detection
Limitations to keep in mind
Models can reflect biases in their training data and can perform poorly when conditions change. They need regular monitoring and retraining.
Keep humans in the loop
For decisions that affect people, use machine learning to support rather than replace human judgement.
Machine learning is a powerful tool when applied to the right problem with good data and careful oversight.
Need help putting this into practice?
Our team at Ingata Technologies can help you plan, build and support the right solution for your organisation.
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