The path to industrial innovation and autonomy begins with data. This session explores how industrial data platforms, data architecture and next generation digital twins work together to connect and transform operational information into contextualized, actionable intelligence. By unifying OT, IT, and engineering data, organizations can build dynamic digital twins that deliver real time visibility, predictive insights, and cross site optimization—dramatically improving performance, and sustainability.
This session also examines how AI is being used to transform mechanistic chemical‐process models into hybrid and fully data-driven digital twins that enable advanced manufacturing control. It will also highlight how one company is leveraging large and small language models (LLMs/SLMs) to democratize mathematical simulation, empowering non-experts to per-form modeling and drive gains in productivity, sustainability, and innovation.