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This type of machine learning is going to become increasingly important in analytics and enterprise applications.
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Most IT leaders have heard of deep learning, but few really understand how this new technology works.
Deep learning burst onto the public consciousness in 2016 when Google’s AlphaGo software, which was based on deep learning, beat the human world champion at the board game Go. Since then, deep learning has begun appearing in news reports and product literature with more frequency, but few organizations are actually using it today.
The 2018 O’Reilly survey report How Companies Are Putting AI to Work Through Deep Learning found that only 28% of the more than 3,300 respondents were currently using deep learning. However, 92% believed that deep learning would play a role in their future projects, with 54% saying it would play a large or essential role in those initiatives.
As companies plan to move ahead with those projects, the number one challenge holding them back is a lack of skilled people. The report noted, “Leaders in AI have long talked about the need to make deep learning accessible to developers without a Ph.D. That’s essential to progress; AI must become accessible to domain experts in other disciplines.”
The following slideshow doesn’t even scratch the surface of what it takes to become an expert in deep learning. But it does provide a high-level overview of the topic and covers the basics that CIOs, IT managers, and business leaders need to understand about this emerging technology.
[You can learn more about deep learning at Interop ITX, opening April 30 at the Mirage in Las Vegas. Check out the related sessions in the Interop AI Summit and the Data and Analytics Track.]
Cynthia Harvey is a freelance writer and editor based in the Detroit area. She has been covering the technology industry for more than fifteen years. View Full Bio
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