AI Enhances Software-Driven Automation by Reducing Operational Bottlenecks
- Published
- Source
- AutomationWorld.com
Recent insights reveal that industrial automation is evolving beyond traditional definitions, which included PLCs, sensors, and robotics. Today, a significant challenge in manufacturing and engineering is not just physical bottlenecks but also delays caused by inefficient information workflows. Teams often wait for data to be manually rebuilt or reformatted, leading to operational inefficiencies.
This shift in focus towards software-driven workflows highlights a critical opportunity for industrial organizations. While investments in physical automation have made machines faster and smarter, the surrounding workflows remain largely manual. The disconnect between various systems—such as engineering platforms and asset-management systems—creates unnecessary delays, as data handoffs often rely on human intervention.
Going forward, organizations should prioritize connecting existing systems rather than seeking new software platforms. By addressing these software-driven bottlenecks, companies can unlock significant improvements in operational efficiency and streamline their processes. No further timeline was disclosed at the time of publication.
Original report
AI Is 'Lowering The Barrier' To Software-Driven Automation
AutomationWorld.com · (Janvi Saddi)This 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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