Industrial AI is entering a new phase.

After years of pilots and proof-of-concept projects, process industries are moving toward large scale execution.

By the end of 2026, most maintenance teams are expected to use AI-driven tools.

Yet fewer than one third have successfully implemented predictive maintenance at scale.

The main barrier is not the algorithm.
It is digital readiness.

Unplanned downtime continues to cost industrial organizations billions annually.
In many facilities, a single hour of production loss exceeds 100,000 dollars.

Predictive analytics can significantly reduce downtime, but only when supported by reliable data, integrated systems, and clear operational ownership.

This live webinar provides a structured framework to evaluate whether your plant is truly prepared to scale industrial AI.

The session will be conducted in Portuguese.

 

We’ll cover:

• Why many predictive maintenance initiatives underperform in heavy industry.
• The data integrity and IIoT infrastructure required before scaling AI.
• Integration challenges between sensors, historians, CMMS, and analytics platforms.
• The operational ownership needed for sustainable ROI.
• A practical digital maturity checklist for plant leaders
  This is not a technology demo.
  
  It is a strategic readiness assessment for industrial operations.
  
  

Who it’s for:

• Plant Managers
• Process Engineers
• Digital Transformation Leads
• Maintenance and Reliability Managers
• Operations Executives
  If your responsibility includes uptime, asset performance, or industrial digital strategy, this webinar is designed for you.

Space is limited.