By now, It's no longer up for debate whether artificial intelligence will permeate the industrial automation space as much as it has the commercial sector. The biggest challenge, I'd imagine, is how do we build a robust enough nervous system that brings data to the AI agents at the industrial edge for processing, with unlimited horizontal scale. To understand in-depth how that could work, I invited Angelo Corsaro for a chat. Angelo is CEO and CTO at ZettaScale Technology, a company working to bring to every connected human and machine the unconstrained freedom to communicate, compute and store anywhere, at any scale, efficiently and securely. Up until recently, Angelo was CTO at ADLINK Technology, a company that provides edge software and hardware for building and deploying Edge AI solutions, and it is from ADLINK where ZettaScale was "spinned-off". Further, Angelo was one of the original members of the Data Distribution Service connectivity standard at the Object Management Group, where he was also a Member Board of Directors. Below is the outline of our conversation to the linked video Outline  Edge Computing as a Cloud-to-device continuum  Benefits of intelligent edge computing in Industrial Automation  Example Applications of AI at the Industrial Edge  Challenges in building and deploying Intelligence at the Industrial Edge  Edge AI Architecture for implementation in Manufacturing  Approach for Big-Data Driven Edge-Cloud Collaboration in Industrial facilities  High-Performance Real-Time Communication at the Edge using Eclipse Zenoh and Cyclone DDS OS Projects  Integration of Eclipse Zenoh with MQTT  ZettaScale, what it is, why it exists, and key concepts  Security Threats and Countermeasures in Edge Computing for IIoT Architects  The Role of 5G in Industrial Edge AI  ZettaScale team and vision for the future of building industrial systems