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The AI, machine learning, and data science conundrum: Who will manage the algorithms?

Published: September 3, 2018
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Source: zdnet

<i>Artificial Intelligence & AI & Machine Learning, Image Source: <a href='https://www.flickr.com/photos/mikemacmarketing/30212411048'>Flickr</a></i>
Artificial Intelligence & AI & Machine Learning, Image Source: Flickr

 

Artificial intelligence and machine learning are being adopted into the enterprise at a rapid clip and adoption is likely to surge in 2019. What comes next is the real business challenge: How will we manage technology that we likely don't understand?

The issue is likely to bubble up in the year ahead. For now, most of us are lulled into thinking more algorithms are better and even assuming we can outsource critical thought to models. Why hurt our brains when we can trust EinsteinWatsonAlexaGoogle Assistant, and other software tools to think for us?

According to IDC, global spending on AI and cognitive technologies will reach $19.1 billion in 2018, up 54.2 percent compared to a year ago. By 2021, AI and cognitive spending will hit $52.2 billion. If you're not spending on AI, you may need some computer-assisted help to set your budget

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