A quick pass at Artificial Intelligence

A 2013 study by Oxford University concludes that 47% of all jobs in the United States are at risk of “computerization.”

And that study is a little dated.

Despite the message we’re hearing from the government, it’s probably not the closing of factories that has had the biggest effect on job loss in recent years. Automation or “computerization” (as mentioned above) was mostly responsible. And that automation is only going to get better, smarter and cheaper.

What is artificial intelligence?

Huge amounts of information is taken in by computers and then used to make decisions or detect patterns or translate information. Data can come from many more places than a human can handle, and this data can be analyzed more accurately and quickly than a human is able to do.

AI examples

Millions of people are using AI-driven voice recognition with Siri, Alexa, and Google Assistant. Image recognition is also courtesy of AI. Tagging friends on Facebook is a easy-grab example here.

But computers can also solve problems and predict outcomes. Machines can take massive amounts of data from many sources and then process it, looking at complicated problems in new ways to help to discover patterns in diseases, in purchase behaviors in consumers, and much more. In this way, machines complement jobs that are human-dominated. The computer processes information and the human takes that information to patients and consumers.

a few examples of current business uses

Companies use AI to make trades on Wall Street. Consumer credit decisions are made with help from AI. Amazon uses machines to optimize inventory and improve product recommendations to customers.

The military uses AI to keep soldiers off the ground (drones, for example), to help with surveillance and make movement of supplies more efficient.

Doctors and hospitals increasingly use AI to aid in diagnosis, which is especially important in a field that is experiencing and will continue to experience a shortage in personal.

Although it is already in use in thousands of companies–in many more applications than mentioned above–it is probably not being used to its maximum advantage, which means there’s lots of room for growth.

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