What are the real-world implementation challenges when integrating AI-powered predictive maintenance with existing PLC systems from different manufacturers in a brownfield factory?

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I&#39;ve been thinking about upgrading our factory with AI predictive maintenance, but honestly, I&#39;m worried about how it will work with all our existing equipment. We&#39;ve got PLCs from Siemens, Allen-Bradley, and some older systems that have been running for years - they all speak different languages! The biggest headache seems to be getting all these different PLC systems to talk to each other and share data with the AI. Some of our older machines only have basic Modbus connections, while newer ones use Profinet or Ethernet/IP. It&#39;s like trying to get people who speak different languages to have a conversation without a translator.Then there&#39;s the downtime concern - we can&#39;t just shut down production lines to install new systems. I&#39;ve heard horror stories about integration projects that ended up causing more problems than they solved. Plus, our maintenance team is comfortable with the current setup, and I&#39;m not sure how they&#39;ll adapt to AI-driven recommendations.Security is another worry - adding AI to our existing network feels like opening new doors that hackers might exploit. And honestly, I&#39;m not even sure if our current data infrastructure can handle the massive amounts of information that AI systems need to learn and make predictions.Has anyone actually made this work in a real factory setting without completely overhauling everything?

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What are the real-world implementation challenges when integrating AI-powered predictive maintenance with existing PLC systems from different manufacturers in a brownfield factory?

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