What challenges exist in deploying AI for environmental monitoring within OT systems?
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One challenge in deploying AI for environmental monitoring within Operational Technology (OT) systems is the need for interoperability between different systems and sensors to enable seamless data integration. Additionally, ensuring data accuracy, reliability, and security in OT environments can be a significant challenge. OT systems often involve legacy infrastructure with limited data processing capabilities, which can make implementing AI solutions complex. Moreover, managing the large volume of data generated by environmental sensors and processing it in real-time to improve decision-making adds another layer of difficulty. Lastly, addressing ethical concerns related to data privacy, accountability, and transparency when utilizing AI for environmental monitoring in OT systems is crucial.