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 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

Shifting data distributions, upstream pipeline failures, and model predictions impacting the very dataset they're trained on can create thorny feedback loops between development and production. In this webinar, we will Examine some naive 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.