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The biggest challenge in production-level AI is not finding the best ML model but building a reliable, scalable, and maintainable system for operating it in production and developing it continuously. Learn from Silo AI experts how to take the first steps to become AI-driven.
How one of the Sweden’s biggest financial institution built their MLOps solution? How MLOps is taken into consideration in app development?
And more..
Watch the webinar recording
In this webinar, we dived into the infrastructure and organizational requirements of getting real-time machine learning-driven insights and analytics, that help run your operations smoothly. With our invited guest Unity, we showed an example of how solid machine learning operations (MLOps) helps scale several machine learning products at once.
Together with Silo AI, Philips has built a computer vision solution to analyze MRI images to automatically detect organs for 3D segmentation, needed for radiotherapy purposes.
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