Pressing Needs for AI Development Work
In the latest Evans Data Corporation AI & Machine Learning Survey Report 24.1, a critical insight emerges: 36% of developers identify code examples for general AI domains as their most pressing need in AI development work.
This finding reveals more than a simple preference—it highlights a fundamental challenge in the AI development ecosystem. Developers across skill levels are seeking resources that can accelerate their work and prevent redundant efforts. While code examples might seem elementary, they serve as crucial navigational tools for integrating new technologies and platforms.
Interestingly, the survey reveals a nuanced landscape of developer needs. Performance optimization tools and developer training in new tools and techniques follow closely behind code examples, with minimal statistical variance. Tutorials on explainable and ethical AI practices also rank prominently, suggesting a growing emphasis on responsible technology development.
The data underscores a key observation: technological advancement isn't just about cutting-edge capabilities, but about providing accessible, practical resources that enable developers to effectively leverage emerging technologies.
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This information is from the Evans Data Corp. AI and Machine Learning Survey Report available from Evans Data. One subscription brings an entire year's worth of fresh information from developers working in this area.
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