For decades, process control has done an excellent job of keeping industrial plants stable. But stability and optimal performance are not necessarily the same thing.
A recent Forbes Technology Council article, From Process Control to Industrial AI: What Actually Changes, highlights where traditional optimization starts to struggle. Industrial processes are increasingly complex: raw-material composition changes, equipment performance deteriorates, energy prices fluctuate, downstream constraints appear, and multiple variables interact through nonlinear relationships. A mathematical model can become either too simple to represent reality accurately or too complex to maintain and solve continuously.
This is precisely where AI can make a difference.
However, a plant is not simply a dataset. Compressors, kilns, reactors or mills operate within physical, safety and quality constraints. Sensors drift, analyzers fail and laboratory measurements may arrive after operating conditions have already changed. Therefore, successful Industrial AI cannot rely on correlations alone: process knowledge, constraints and data validation must remain part of the equation.
The article offers another useful distinction: while traditional control asks “How do I keep the process at its target?”, Industrial AI can ask “Is this still the right target?” A perfectly controlled process may still be operating at yesterday’s optimum when feed conditions, equipment efficiency or production priorities have changed.
There is one point, however, where OPTIMITIVE takes the concept further. The Forbes article presents AI mainly as an additional layer above established control systems and recommends beginning with decision support before allowing tighter integration. OPTIMITIVE’s experience shows that Industrial AI can go beyond recommendations: once models, constraints and optimization strategies have been validated, AI can operate autonomously in closed loop, continuously calculating and sending optimal setpoints to existing DCS, PLC or APC systems.
That is the philosophy behind OPTIBAT® 7: not simply understanding where the optimum is, but continuously moving the process toward it—turning Industrial AI from an advisor into an active part of real-time operations.
