See It Work
See It Work
SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+ SYSTEM: OPERATIONAL OT/IT CONNECTORS: 150+ AUTONOMOUS OPERATION: 15+ DAYS GOVERNED AUTONOMY: ENFORCED AUDIT TRAIL: IMMUTABLE INDUSTRIES: ASSET-INTENSIVE & MISSION-CRITICAL DEPLOYMENT: 3-6 MONTHS VIA APEX CONTROL LOOPS: 3,400+

Causal Analytics in IIoT – AI That Knows What Causes What, and When

Causal Analytics in IIoT – AI That Knows What Causes What, and When

The Industrial Internet Consortium (IIC) published the 8th edition of the peer-reviewed Journal of Innovation today.

XMPro’s CEO, Pieter van Schalkwyk, along with Dr. John Galloway and Dann Marian, contributed Causal Analytics in IIoT – AI That Knows What Causes What, and When to this edition.

The article covers 3 key insights:

  • How to perform Reliable Causal Analytics using industrial IoT data and AI to determine causality of business and operational events such as equipment failure or operational issues
  • How Reliable Causal Analytics provides data-driven decision support for traditional Root Cause Analysis approaches
  • How to embed this causal analytics methodology in IoT Process Management software to be able to perform this in a repeatable and automated manner
Click here to read the IIC Journal of Innovation