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Accelerating AI Value with Modular MLOps

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
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ML in the Field featuring Vignesh Shetty of GE Healthcare

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
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Running Effective Machine Learning Teams

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.
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Understanding the ML Model Lifecycle

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
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