Hi everyone,

I'm diving into how AI can enhance decision optimization, especially in data science workflows, and would love to hear your experiences! I've been experimenting with integrating machine learning models to improve optimization algorithms, particularly for resource allocation. Have you used AI tools (e.g., in IBM Watson or similar platforms) to boost decision-making efficiency? Any challenges or best practices you'd recommend for cross-applying these techniques in decision optimization?

Looking forward to your insights!