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
Ep 43 Infrastructure as Code for Industrial IoT - [ Peter Sorowka, CEO Cybus GmbH]
Ep 42 Data Driven Optimization in Process Industries - [ Jim Gavigan, President, Industrial Insight]
Ep 41 Applied AI in Manufacturing - [ Roey Mechrez, Head of AI, and EMEA MD @Tulip]
Ep 40 Digital Twins for Process Optimisation and Asset Reliability - [ Erik Udstuen, CEO TwinThread]
Ep 39 DataOps for Digital Transformation In Manufacturing - [ Aron Semle, CTO Highbyte]
Ep 38 LoRaWAN for Industrial IoT Applications - [ Wienke Giezeman, The Things Industries]
Ep 37 Data Modelling and Manufacturing Ontologies for Digital Twins - [ Erich Barnstedt - Microsoft ]
Ep 36 Agility, Open Platform Strategy & Industrial Data Spaces for Industry4.0 - [ Sandeep Sreekumar - IndustryApps ]
Ep 35 Human-Machine Collaboration for Smart Manufacturing - [ Rafael Amaral - Tillit ]
Ep 34 Node-Red for IIoT in the Enterprise - [ Nick O’Leary, CTO Flowforge Inc ]
Ep 33 Unified Namespace for Industrial IoT: The Masterclass - [ Walker D Reynolds, 4.0 Solutions ]
Ep 32 Low Foot Print OPC UA Over TSN for Real-Time Communication - [ Melvin Francis, Be Services ]
Ep 31 Architecting IIoT Solutions Using Unified Namespace - [ David Schultz, G5 Consulting ]
Ep 30 Fundamentals of OPC UA Information Modelling - [ Jouni Aro - CTO, Prosys OPC ]
Ep 29 Manufacturing Execution Systems for Data-Driven Manufacturing - Kevin Jones, CEO Ectobox
Ep 28 Predictive Analytics in Manufacturing - Maciek Wasiak, CEO Xpanse AI
Ep 27 First Principles : First Principles of Smart Manufacturing - Conrad Levia, CESMII
Ep 26 : Embedded Vision and Connectivity for IIoT - Taylor Cooper (CEO, Principal Engineer - MistyWest) )
Ep 25 : Containerisation for Industrial IoT - Neil Cresswell (CEO, Co-Founder - Portainer) )
Ep 24 : Real World Applications of OPC UA PubSub - Praveen Kumar Singh (Chief OPC Solution Architect - Utthunga) )
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