Example Concept: One common challenge is data compatibility; AI models often require specific data formats or preprocessing steps that existing systems may not support. This necessitates building data pipelines or adapters to transform and feed data correctly. Additionally, integrating AI models can impact system performance, requiring optimization of model inference times and resource allocation to maintain user experience.