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SAS

Innovation occurs in many small steps or one giant leap. No matter how it happens, it’s hard to talk about innovation without mentioning analytics in the same breath.

This is in part because of big data, which has exploded in size and complexity. If you want to uncover insights – and leave time for strategy and creativity – you can’t spend countless hours sifting through data.

That’s why companies turn to analytics, machine learning and AI to apply complex mathematical calculations to big data.

By using analytics and machine learning algorithms, organizations can automatically build models much quicker – no human intervention needed. SAS’ selection of algorithms can help you produce models that analyze bigger, more complex data and deliver faster, better results – even on a very large scale. And by automatically building precise models, that leaves us humans free to identify profitable opportunities, make better decisions – maybe even change the world.