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.
Bob leads product and technical marketing at cnvrg.io, an MLOps platform that leverages CI/CD principles to deliver continuous training and deployment of AI models for data scientists, ML engineers, and AI developers. Before joining cnvrg.io, Bob was Senior Product Marketing Line Manager for VMware Tanzu Data. His background spans domains including machine learning and data science, data management, DevOps, networking, and information security. Bob holds an MBA from the University of California, Berkeley, and a degree in Economics from Claremont McKenna College.