Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain.
Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.
Benefits for organizations from this realm of technology are numerous. Deep learning can improve productivity, increase retention and drive revenue if companies use deep learning technology to their advantage
Significant resources are being put into deep learning in financial services, in which it is used to detect fraud, reduce risk, automate trading and provide “robo-advice” to investors. According to a well documented report, 86% of financial services firms plan to increase their AI-related investments by 2025.
In aerospace and defense, deep learning is also utilized to identify objects using satellites that locate areas of interest and identify unsafe or safe zones for troops.
Then there’s industrial automation where deep learning helps to improve the safety of workers around heavy machinery by automatically detecting when objects or people are within an unsafe distance from a machine.
The electronics sector uses deep learning in speech translation and automated hearing. For instance, home assistance devices that respond to one’s voice and know one’s preferences are powered through deep learning applications.
One trend in deep learning that is expected to emerge this year is hyper automation, which is considered an efficient way to improve customer service and speed up various processes. There are several advanced technologies that help to power hyper automation, including Machine Learning, Artificial Intelligence (AI), cognitive process automation, and more.
Aside from improving the customer service experience, hyper automation can also help accomplish other important tasks at a faster rate, such as system integration and organization, as well as improving worker productivity.
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