eHandbook: Digital Transformation, AI & IIoT

Artificial intelligence (AI) adoption in the process industries has crossed a threshold with 90% of manufacturing leaders now calling digital transformation a business requirement, not a strategic ambition. The gap is no longer between early adopters and skeptics. It's between organizations that can scale AI and Industrial Internet of Things (IIoT) technology, and those still stuck piloting.
This e-handbook from Control pulls together the technical depth and industry context engineers need to stay ahead of that gap. It examines a new approach to compressor surge protection, the hidden pitfalls in temperature measurement, to a breakdown of the AI tools reshaping plant-floor development.
Why read it:

• Get sharper on the fundamentals. A veteran field engineer lays out a more physically rigorous, PID-friendly method for compressor surge protection using angular and polar coordinates.
• Rethink what "accurate" really means. Temperature measurement uncertainty doesn't end at the sensor. Learn why testing at the actual operating point, not just out-of-the-box specs, is the only path to real confidence in your readings.
• See where the industry stands on AI. New survey data across 17 countries shows the "pilot era" is ending fast and reveals what's separating companies that are scaling AI-augmented operations from those stalling under their own complexity.

Whether you're troubleshooting a surge control loop or trying to figure out where AI fits into your digital transformation roadmap, this issue gives you the technical grounding and the industry context in one place.

Inside this issue:

• Smarter industrial compressor surge protection
• Overcoming temperature measurement uncertainty
• AI pilot era crosses a threshold
• Gen AI and agentic AI development tools
• Resources