How does the lack of interoperability among AI systems affect the integration of autonomous technologies in smart cities?

  • It enhances efficiency and reduces costs.
  • It hinders data sharing and collaboration among AI systems.
  • It simplifies the integration process.
  • It standardizes AI systems.
The lack of interoperability among AI systems in smart cities hinders data sharing and collaboration. In a smart city, various autonomous technologies need to work together and share data to function optimally. Without interoperability, these technologies can't communicate effectively, which limits the potential of smart cities.
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