In this session, join the teams at Superb AI, AI Infrastructure Alliance, and Comet as we cover: How a modular approach to the ML tech stack enables teams to choose the best tools for their use case, data, and business

In this webinar, we will examine some naïve ML workflows that don't take the development-production feedback loop into account and explore why they break down.

GE Healthcare projects are delivering REAL impactful business contributions, including reducing MRI imaging time by up to 50% while improving image quality, 30-50% reduction in exam time and 70% reduction in no-show rates. Listen to this in-depth interview and learn: -How large of an AI/ML team is needed for these impactful projects -What level of industry/domain expertise is needed by AI practitioners

While academic research has been improving consistently, many organizations are struggling with translating ML into business value. Now is the time to strategize with your team to overcome critical operational hurdles of ML teams.

What is the machine learning lifecycle? Watch this webinar to learn: The stages of the ML model lifecycle Why it’s critical that machine learning teams track their models through the entire lifecycle

In this webinar, join the teams at Pachyderm and Comet as we cover: What MLOps entails, and the components of a robust stack The challenges teams face when scaling their models intro production