ML Operationalization: Building a path to real-world business success

Operationalizing and scaling machine learning to drive business value can be challenging. While many businesses have started diving into it, only 13% of data science projects actually make it to production. Moving from the experiment phase of ML (machine learning) to real-world deployment is difficult, as the journey requires finetuning ML models to fit…

Optimizing plastic extrusion with AI: Self-service demonstration

Deep Reinforcement Learning-based AI agents, developed, trained, and deployed using Microsoft Project Bonsai tool chain, open new possibilities of process manufacturing improvements. Coupled with the appropriate simulator to drive their training…