Assessing Deep Learning Model Development and Why Most AI Models Never Reach Production—and How to Get Them There
How many deep learning models successfully move from development to production? Far fewer than you think. In a survey participated by deep learning practitioners, almost half of the respondents claim that less than 40% of their models reach production. This is the production paradox.
Download this survey report to know:
- The popular deep learning tasks, preferred platforms, and hardware used
- The reasons why many organizations struggle to deploy deep learning models to production such as poor inference performance and optimization
- Actionable ways and best practices to overcome the production paradox
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