Add It Up: How Long Does a Machine Learning Deployment Take? - The New Stack

Creating and deploying machine learning (ML) models supposedly takes too much time. Quantifying this problem is difficult, not least because there are so many job roles involved with a machine learning pipeline. With that caveat, let us introduce Algorithmia's "2020 State of Enterprise ML." Conducted in October 2019, 63% of the 745 respondents have already developed and deployed a machine learning model into production. 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.