I’ve been reflecting on how the demands of our field are shifting. With emerging technologies like AI and machine learning, the practical applications of research are becoming more intertwined with real-world business needs. It prompts a question: are we prepared to adapt our methodologies to not only pursue theoretical advancements but also to meet pressing industry challenges? Would love to hear your thoughts on how we can balance these aspects effectively.