You train great models, but the moment they finish training they begin to decay, and the race is on! How do we ensure models continue performing at their best? Enter Machine Learning Operations (MLOps). In this session, we discussed what MLOps is and why it's crucial for ensuring ML pipelines are relevant to solving your business questions. We presented a framework for bringing MLOps into your organization and how you can leverage Dataiku capabilities to streamline your MLOps processes.
Introducing out host Jacqueline Kuo - Senior Data Scientist Dataiku
Jacqueline Kuo is a born and raised New Yorker, and a Senior Data Scientist at Dataiku. She studied Mechanical Engineering at MIT and discovered her passion for all things data-related while working as an Analytics Consultant at IBM.