Essential Control Engineering Skills as AI Capabilities Evolve in Automation
- Published
- Source
- AutomationWorld.com
Recent discussions in the automation industry have focused on the evolution of software and logic processing hardware. As software-defined automation and concepts like DevOps gain traction, the role of controls engineers is shifting but remains crucial. While modern tools streamline logic production, the understanding of complex machines and processes is becoming increasingly valuable, emphasizing the importance of engineering judgment.
The core skills of controls engineering are not diminishing; rather, they are becoming more essential as the industry adapts to new technologies. Engineers must leverage their experience to navigate the complexities of machinery, ensuring that automation systems operate safely and efficiently. The integration of operators' insights into automation design is vital for creating effective solutions that enhance diagnostics and human-machine interactions.
Looking ahead, the challenge remains in developing automation that is reliable and trusted by operations teams. While AI may evolve to learn processes, the current need for human expertise in handling unexpected situations is paramount. The future of controls engineering will hinge on the ability to bridge the gap between software logic and the realities of physical systems, ensuring that automation meets operational demands effectively.
Original report
The Control Engineering Skills That Matter More as AI Capabilities Expand
AutomationWorld.com · G Brooks-ZakThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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