Evans Data Corporation’s latest study of AI and machine learning development provides insights into the challenges developers face when building enterprise-level, high-quality AI apps. The study, Artificial Intelligence and Machine Learning 2019, Volume 2 is based on interviews with 500 AI and machine learning developers globally. Focusing on the attitudes, adoption patterns and intentions of AI and machine learning developers worldwide, the 187-page study is one of the most comprehensive of its kind. What makes the study noteworthy is the depth of research into AI and machine learning developer’s challenges today.
- AI and machine learning developers most often rely on language and speech-based Application Programmer Interfaces (APIs).
- 50% say gathering or generating data is the most challenging aspect of continually training and fine-tuning AI models.
- AI and machine learning developers say that the complexity of managing operations is the top challenge they face when developing AI applications.
In addition to support for AI and Machine Learning development for enterprise application, Michael Dukakis Institute for Leadership and Innovation (MDI) has established AI World Society (AIWS) to invite participation and collaboration with think tanks, universities, non-profits, firms, as well as enterprise that share its commitment to the constructive and development of AI.
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