Continuous training and deployment capabilities have become recurrent discussion topics when talking to data science teams, regardless of industry type or company size. They continually surface as the primary obstacles to deploying and managing ML models as part of business applications. It turns out that Machine Learning Operations (MLOps) emerged as the enabler of continuous training and deployment for ML models.
Machine Learning / High Performance Computing, Office of the CTO
Enrique Corro has been with VMware for 15 years and has a master’s degree in data science from the University of Illinois. He currently works as a staff engineer at VMware’s Office of the CTO. Enrique focuses on helping VMware customers run their ML workloads on VMware technologies. He also works in different initiatives for ML adoption within VMware products, services, and operations.