Five common use cases where machine learning can make a big difference

Machine learning uses powerful algorithms to discover insights based on real-world data that can then be used to make predictions about future outcomes. As new data comes available, machine learning programs can automatically adapt and produce updated predictions. As with any tool, machine learning is not a silver bullet. However, there are many situations in which the technology can outperform linear and statistical algorithms. Many human-oriented tasks (such as recognising whether an email is spam) aren't solvable using simple (deterministic), rule-based solutions.