How AI adoption is growing on the back of the Internet of Things
Evans Data’s Global Development Survey has revealed that the Internet of Things (IoT) was the foremost priority for developers working on artificial intelligence across a range of technologies including machine learning, neural networks, deep learning, and pattern recognition. Though targets for these technologies remain fragmented, IoT was the foremost target for all of them and in most instances the only target that gained a double digit response.
Non-computer related professional, scientific and technical services came second as a target for the mentioned disciplines while it was first in the category of Natural Language Processing. Prescriptive analytics, fact extraction and reasoning, machine translation, and image recognition were among the most commonly cited areas of work in machine learning applications, with over 30% of developers working with machine learning mentioning those areas for development.
Janel Garvin, CEO of Evans Data, said: “All the related disciplines that are commonly lumped together as artificial intelligence are being stimulated by the burgeoning growth of Internet of Things. These technologies are being incorporated very rapidly into the design and development process across a host of industries, and types of applications, but it’s IoT that is the strongest driver.”
The survey of developers provides comprehensive data on topics such as platform adoption, 3G and scripting language use, and cloud and mobile development.
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