AI & ML: Intelligent use of machine learning

With more data to deal with than the human mind can manage, Alex Meehan examines where automation can help, and where it’s a definite a no-no

The challenge for companies is to turn repositories of data into actionable insight. Picture: Getty

When it comes to understanding the role of artificial intelligence (AI) and machine learning (ML) in business, it’s hard to beat the fire hydrant analogy. If you’re thirsty, a glass of water is just the ticket but try to drink water straight from a fire hydrant and you’ll be blasted across the street.

The same is true of data. We’re all producing, using and storing more of the stuff and it’s never been more important, ...