MLOps Beyond Training: Simplifying & Automating the Operational Pipeline

When you say'MLOps', what do you mean? As the technology ecosystem around ML evolves, 'MLOps' now seems to have (at least) two very different meanings: The typical journey of an organization with a data science use case and a small team is to start from what they perceive to be the logical beginning: building AI models. A business idea based on data science is selected, and budget is allocated for the data scientists to start the work of building and training machine or deep learning models. They get access to data extractions, search for patterns, and build models that work in the lab. For veterans of this space, it's remarkable to observe how the industry has changed.