Artificial intelligence (AI) is rapidly transforming the chemical industry, offering solutions to longstanding challenges in optimization, process monitoring and control, and product development. This article provides new insights by explicitly connecting recent technical advances in AI with organizational strategies, offering an integrated perspective on how these elements collectively drive transformation in the chemical industry. While the article discusses the potential of large language models, it places greater emphasis on the critical role of data availability, policies, and broader AI adoption challenges. The article concludes by listing possible improvements achievable through AI and emphasizing the importance of leadership and collaborative initiatives between industry, academia, and government.
Chiang et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: