Industrial manufacturers have proven that AI can deliver value. Predictive maintenance, quality optimization, and anomaly detection succeed in pilots across industries. Scaling those results is where most initiatives fail.
This white paper explains how point-solution stacks create fragmented, brittle foundations that collapse under real-world complexity.
What you’ll learn:
Why point-solution stacks break at enterprise scale
How inconsistent data and context undermine AI reliability
How unified Industrial Data Platforms offer a fundamentally different approach
