As many chemical producers are developing and implementing comprehensive AI strategies, newer AI paradigms, such as generative and agentic platforms are set to transform the benefits AI can provide. Due to the continuous generation of data and the complexity and intricacies of the chemical processes themselves, the chemical industry is especially primed to benefit from the vast computing and analysis power offered by artificial intelligence technologies. The industry has the sophistication, patience and rigor to implement these technologies at scale. The amount of benefit it can get from just a small percentage improvement is dramatic, whether it’s in emissions reduction or production output. The rapid technological advances are progressing industrial AI from predictive to generative and agentic, opening up distinct and complementary capabilities, including decision-making. Creating situation-specific dashboards on the fly to help guide troubleshooting decisions and visualize relevant data is an area where agentic AI excels for industrial users. In this session you will learn:

• How to identify key areas within your chemical manufacturing processes where generative and agentic AI can enhance decision-making, troubleshooting, and data visualization.
• How to develop a strategic plan to integrate advanced AI paradigms into existing systems, focusing on scalable implementation and real-time data analysis.
• How to leverage the capabilities of agentic AI to create dynamic, situation-specific dashboards that support rapid response and operational optimization.
• How to monitor technological advancements in generative and agentic AI to continuously evolve your industrial AI strategy for maximum efficiency and sustainability benefits.