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Reliable and scalable AI with MLOps
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.
The eBook includes
Case stories about setting up MLOps process
How one of the Sweden’s biggest financial institution built their MLOps solution? How MLOps is taken into consideration in app development?
An example MLOps architecture
Mapping the required steps in your MLOps process is the beginning. Silo AI helps you to take the next steps.
And more..
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LEARN WITH SILO AI, WEBINAR
Watch the webinar recording
Building operational AI/ML with MLOps
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.
CUSTOMER CASE
Podcast
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.
CUSTOMER CASE
Blog
The research project focuses on analyzing digital pathology images of tissue samples from one of the most common skin cancers. Silo AI’s AI Scientists leverage computer vision to analyze the dataset of these huge digital pathology images.
CUSTOMER CASE
Blog
Apodigi, a front runner in the digitalization of the pharmacy business, and Silo AI, the largest private AI lab in the Nordics, together launch Treet – a smart solution for pharmacies and consumers.
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