Deep learning is a buzzword that has received much hype from the business and technology media for years, with often relatively weak results that have failed to meet expectations. But in the past 18 months, the true power of deep learning has been realized, thanks to advances in hardware and algorithms that apply pattern recognition in a continuous learning loop, enabling them to train themselves to perform tasks without the need for explicit programming code. In fact, according to Tractica, some of the most successful deep learning use cases today are primarily around image recognition, text analysis, product recommendations, fraud prevention, and content management, and are gradually improving. However, the sheer power of deep learning may lead to even more powerful and disruptive developments in the future, such as driverless cars, personalized education, and preventive healthcare. Tractica predicts that the global deep learning software market will grow from $3 billion in 2017 to $67.2 billion in 2025 as applications continue to expand. “Deep learning has been a focus for many companies as it has the potential to transform entire industries,” said Keith Kirkpatrick, lead analyst at Deep Learning. “Current leaders in the deep learning market include Google, Facebook, Microsoft, IBM, Amazon, and Baidu.” Kirkpatrick added that opportunities for deep learning span a wide range of industries and geographies, especially in specific markets with large data needs. 199IT.com Originally compiled from: Tractica. Please do not reprint without authorization |
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