In this roundtable with Ronay Ak from Nvidia, Serdar Kadioglu at Fidelity Investments, and Jacopo Tagliabue, we will be discussing how to build better recommender systems. Our guest speakers shared many lessons learned from building and collaborating with others in building RecSys.
In our discussions with leading organizations utilizing ML like The RealReal and Uber, we have compiled real-world case studies and organizational best practices for MLOps in the enterprise.
Whether you’re comparing model performance during a daily standup or onboarding a new teammate, you’ll need to log the training runs with an experiment management tool like Comet. In this session, Jacques Verré will walk you through the process of reviewing a YOLOv5 model in Comet.
AI is encountering another hurdle to delivering value, in the form of friction among and between teams. A survey of 508 machine learning practitioners that included data scientists and engineers found challenges related to people, process, and tools. This friction can cause delays in ML development that delay or halt model deployment to production.
Oren Etzioni, CEO at Allen Institute for Artificial Intelligence, was the keynote speaker at Comet's Convergence 2022 event, where he summarizes 15 highlights of 2021 in ML and suggests lessons for 2022 and beyond.