What are the challenges in implementing AI-driven control systems in catalysis?
Despite their advantages, there are several challenges:
1. Data Quality and Quantity: High-quality, comprehensive datasets are essential for training effective models. 2. Integration with Existing Systems: Retrofitting AI-driven control systems into existing industrial setups can be complex and costly. 3. Interpretability: Understanding the AI model's decision-making process can be difficult, which may hinder trust and adoption. 4. Scalability: Ensuring that the AI-driven system can scale with the size and complexity of industrial operations.
