On average, 40% of companies said it takes more than a month to deploy an ML model into production, 28% do so in eight to 30 days, while only 14% could do so in seven days or less.We believe Algorithmia’s estimate is much closer to reality than that reported in a Dotscience survey from earlier in the year that reported 80% of respondents’ companies take more than six months to deploy an artificial intelligence (AI) or ML model into production. That data point is misleading because it includes respondents that are still evaluating use cases and are in the process of deploying their first ML model. Of course, this in and of itself a substantial concern. In fact, 78% of AI or ML projects involving training an AI model stall at some point before deployment according to another 2019 survey, this one of 277 data scientists and AI professionals by data labeling company Alegion.
Alegion is the datalabeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately annotated, model-ready data to train and validate ML models.
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