Example Concept: When integrating AI models, developers often face challenges like data compatibility, where the AI model's input and output formats must align with the existing system's data structures. Additionally, performance issues may arise if the AI model requires significant computational resources, potentially slowing down the system. Ensuring security and privacy of data, particularly when dealing with sensitive information, is another critical concern. Lastly, maintaining the AI model's accuracy and reliability over time requires ongoing monitoring and updates.