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.