Hybrid Modelling: Bridge the Gap Between Data and Science

In today’s data-rich yet complex process environments, Hybrid Modeling is redefining how organizations design, optimize, and scale their process operations. By combining first-principles models and data-driven analytics with AI & ML, hybrid modeling bridges the gap between scientific understanding and real-world process behavior. 

This 2-session webinar series, scheduled for 12th and 19th February 2026, will dive deep into the principles and applications of hybrid modelling across process industries.

The session will help you to:

• Make accurate process predictions with limited data in a few minutes.
• Integrate AI/ML with mechanistic models seamlessly.
• Reduce development timelines while enhancing process reliability.
• Accelerate your scale-up and technology transfer processes.
• Effectively monitor and increase reliability of process operations.

Join us to discover how hybrid modeling can empower your process teams to make smarter, faster, and more confident decisions - driving innovation and efficiency across industries.