Perhaps the most common silos of information in Process Industries are the skilled workers who possess rare knowledge on how to optimise processes and maintain production equipment using traditional methods.  The good news is, the future of manufacturing is one where plant assets and operations have the capability to autonomously learn and self adapt in order to optimise processes with minimal human intervention, thereby freeing the skilled human resource for more value-added tasks. And that future has already begun! To learn more about how Artificial Intelligence is currently being applied to solve problems in Process Industries, I invited Simon Rogers for a chat. Simon is a Digital Transformation Consultant at Yokogawa in South Korea, where he helps Process Industries move from Industrial Automation to Industrial Autonomy by applying the latest digital technologies including Cloud Computing, IIoT, and Artificial Intelligence. He was previously the Vice-President of Digital Solutions at Yokogawa Headquarters in Japan, among many other previous roles at companies such as Honeywell, ABB, and KBC. You can check out our full conversation on the video linked below. Outline: ✔️ Importance of AI in Continuous Process Industries ✔️ Technologies Enabling Digital Transformation in the Process Industries ✔️ Benefits of Data-Driven Process Optimisation vs Traditional Methods ✔️ Using Natural language Processing for Industrial Data Management ✔️ Improving Safety and Reliability in Industrial Operations using Semantic AI ✔️ Applicability of Machine Learning in Process Simulation ✔️ Application of Digital Twins in the Process Industries ✔️ Common Use Cases of AI Application in the Process Industry ✔️ Current Challenges of AI Application in Process Industries ✔️ Future Potential of AI Application in Process Industries ✔️ The Shift from Industrial Automation to Industrial Autonomy ✔️ Yokogawa Electric Corporation - Process Automation and Digital Solutions