According to BARC, 55% of companies have not deployed a machine learning (ML) model yet, and only 10% consider themselves advanced in this area. Deployment is a difficult hurdle for many companies to overcome, given the complexities of production environments.
Organizations that lead the charge with AI are tackling deployment complexities with a mix of DataOps and MLOps tools and practices, with companies reporting far fewer issues when they approach these tasks with enterprise-ready tools, as opposed to open source solutions.