Revenue generated from the direct and indirect application of artificial intelligence (AI) software will grow from $1.4 billion in 2016 to $59.8 billion by 2025, according to researchers at Tractica.
Out of the top 10 use cases, 40 percent are related to big data and 60 percent are related to computer vision and natural language processing. The former has use cases such as customizing content feeds for consumers. The latter has application for user interaction with devices (language processing) and process automation (automated vehicles).
Deep learning remains the largest technology category overall, although machine learning has been changed to represent a larger portion of the overall mix, Tractica says.
Deep learning applies some of the same machine learning principles like clustering and classification onto neural networks (computing networks that process like humans do).
Machine learning (the ability of machines to learn from their experiences without explicit programming) is described by Tractica as “classical machine learning techniques like support vector machines, regression, classification, and clustering that do not use neural networks.”
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