APPLIED AI
Don’t Disrupt the Plant. Optimize It: Combining ML, GenAI, and Human Expertise for Energy, Quality, and Cost
Industrial AI should not disrupt the plant or replace its experts. It should reduce manual analysis, make operational knowledge usable, and help teams identify safer, better trade-offs across energy, cost, quality, throughput, and emissions. This session explores the distinct roles of ML, optimization, and GenAI and how, together, they can turn factory data into explainable, operator-ready decisions.
Using the principles behind INSUS OptiStudio, Cristina Gurguta will show how industrial AI can work alongside existing systems to support continuous optimization with humans firmly in the loop.
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