Uploaded December 2025 | Updated September 2026, 2 weeks ago
In this talk from Fully Connected London, Shahram Eivazi, GenAI Technology Expert at Festo, addresses the unique challenges of deploying reinforcement learning in industrial environments. While RL has been extensively researched and applied in digital products, manufacturing introduces specific obstacles including diverse devices, machine variability, prolonged deployment periods, and long-term support requirements. Shahram focuses on rapid prototyping for RL in resource-constrained industrial settings, highlighting how careful prototyping with W&B tools can address industry-specific challenges and improve productivity.
In this talk from Fully Connected London, Shahram Eivazi, GenAI Technology Expert at Festo, addresses the unique challenges of deploying reinforcement learning in industrial environments. While RL has been extensively researched and applied in digital products, manufacturing introduces specific obstacles including diverse devices, machine variability, prolonged deployment periods, and long-term support requirements. Shahram focuses on rapid prototyping for RL in resource-constrained industrial settings, highlighting how careful prototyping with W&B tools can address industry-specific challenges and improve productivity.
