Violet Lieby
831.425.8063
vlieby@evansdata.com
Santa Cruz, CALIF. (January 14, 2021) AI and Machine Learning developers worldwide are planning what skills to learn in 2021. Most believe familiarity with common machine learning libraries should be their key focus for improvement. However, advancing a career path requires honing additional skills. The top skills for AI&ML developers are big data methodologies, language knowledge, advanced mathematics and statistics, hardware optimization and acceleration, specific domain knowledge, and predictive model creation. Evans Data Corporation's recently released AI/ML Development Survey report, conducted worldwide in November 2020 surveyed developers actively involved with AI or ML projects, found that while familiarity with common machine learning libraries is a top priority, advanced mathematics/statistics and hardware optimization/acceleration tied for a close second.
Another growing trend in AI&ML is the development of new technologies for internal use. With the pace of technological advancement increasing, more developers (and their organizations) are exploring AI to develop technologies addressing new internal and external business needs. In fact, 65% of AI&ML developers state that their projects are used internally rather than externally.
The latest Artificial Intelligence and Machine Learning survey report gives a comprehensive view of the attitudes, adoption patterns and intentions of artificial intelligence and machine learning developers worldwide. The full table of contents, report methodology, and report pages are available online at: https://evansdata.com/reports/viewRelease.php?reportID=37
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.
Copyright 2021 Evans Data Corporation. All other company names, products and services mentioned in this document are the trademarks and property of their respective owners.
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