The challenges you'll face deploying machine learning models (and how to solve them) - Cloudera Blog

In 2019, organizations invested $28.5 billion into machine learning application development (Statistica). Yet, only 35% of organizations report having analytical models fully deployed in production (IDC). When you connect those two statistics, it's clear that there are a breadth of challenges that must be overcome to get your models deployed and running. The following paragraphs will give you deeper insight into these challenges and how you can overcome them. No matter what stage of machine learning development you're in, if you are working with point solutions or siloed toolsets you're creating vulnerabilities for your models and your business.