Example Concept: One common challenge is ensuring that AI models are compatible with the existing software stack, which may involve adapting data formats, APIs, or communication protocols. Additionally, scaling the AI models to handle production-level workloads without degrading performance can be difficult, requiring optimization of both the models and the infrastructure. Maintenance and updates also pose challenges, as AI models may need regular retraining and validation to remain effective over time.