SANTA CRUZ, CA. June 1, 2016, The Internet of Things topped the target list for developers working with artificial intelligence across a wide spectrum of technologies including machine learning, neural networks, deep learning, and pattern recognition, according to Evans Data’s just released Global Development Survey. While targets for these technologies remain fragmented, IoT was the top target for all of them and in most cases the only target with a double digit response. Non-computer related professional, scientific and technical services was cited second as a target for the above disciplines, and was first in the category of Natural Language Processing.
“All the related disciplines that are commonly lumped together as artificial intelligence are being stimulated by the burgeoning growth of Internet of Things,” said Janel Garvin, CEO of Evans Data. “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.”
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 citing those areas for development.
The Global Development Survey is a worldwide survey that explores a variety of development issues across four major global regions and provides a margin of error of +-2.5%. This extensive survey of developers provides comprehensive data on topics such as: Platform adoption, 3G and Scripting Language Use, Cloud Development, Mobile Development, Payments Solutions, APIs, Development Lifecycle, Developers in Purchasing, Databases, Big Data, Demographics and Firmographics and Internet of Things Development
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Evans Data Corporation provides regularly updated IT industry market intelligence based on in-depth surveys of the global developer population. Evans' syndicated research includes surveys focused on developers in a wide variety of subjects.
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