Council Post: ModelOps To The Rescue: What Your AI Has Been Missing

ModelOps has swooped in to make artificial intelligence (AI) accessible by anyone anywhere. Faced with staggering stats like the fact that "On average, organizations take nine months to develop AI initiatives from prototype to production" and "as of 2018 only 47% of all AI investments make it out of the lab," data scientists and developers needed an easier way to take models from their favorite machine learning (ML) workbenches to running them at scale in production. If you're not working in the data science or the AI industry, ModelOps is probably a new term. It's a relatively new technical field, so you're likely to find differing opinions which can create confusion. Therefore, it's necessary to clarify what is meant by ModelOps.