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. Together with Kaisa Salakka from Unity Technologies, we learn about the value of being able to scale multiple ML products with confidence and how it is enabled by robust MLOps processes. After hearing about Kaisa's extensive experience in building and shipping ML products, we dive deeper into the best practices for MLOps with Jukka Remes from Silo AI, who has helped several global industry leaders build their operations around machine learning. The webinar is hosted by Teppo Kuisma, who has helped global industry leaders onboard AI with 20+ years of experience in digitalization and ICT. Based on Silo AI’s learnings from 100+ production-level AI projects, we’ll guide you through the best practices of operationalizing AI with scalable machine learning operations.