Industrial Talk is talking to Rob McGreevy, Chief Product Officer at AVEVA about "Industrial AI - Operational context behind processes and assets".
Overview
The conversation examined how AVEVA uses industrial software and AI to improve design, operations, data quality, and safety across critical infrastructure.
Industrial Context
Rob described 30 years in industrial software supporting power, utilities, manufacturing, pharmaceuticals, refining, and other critical infrastructure.
AVEVA spans design and engineering through production operations, including OSIsoft PI System, Wonderware, E3D, and simulation tools.
AI Applications
AVEVA Connect consolidates data from PLCs, DCS, RTUs, and other industrial sources so AI can analyze information in context.
Data quality remains essential because inaccurate recommendations could affect plant safety, product quality, or operations.
AI is being used to support pipe and cable layout design, provide operators and maintenance staff with guidance, and enable digital-twin analysis.
Open Questions
How quickly will industrial AI move from human-supervised recommendations to direct control within safe operating limits?
How will organizations manage evolving AI models, protocols, legacy systems, and workforce adaptation while preserving human judgment?
Outline
Professional Background
Rob discussed his career in industrial manufacturing software and critical infrastructure.
His experience includes power plants, utilities, food and pharmaceutical facilities, refining, and energy operations.
AVEVA Platform
Aviva provides software across the design-build and production-operations lifecycle.
Its portfolio includes engineering design, simulation, supervisory control, data acquisition, process historians, planning, scheduling, and execution systems.
Industrial Data
Industrial environments combine data from PLCs, DCS, RTUs, sensors, and varied protocols.
Data cleansing and validation establish trusted information for analytics and AI applications.
AI and Digital Twins
AI can generate and compare design options while leaving final decisions with human experts.
Digital twins support maintenance, sustainability, production, optimization, and safer operational analysis.
Rob expects AI to remain human-supervised in the near term, with narrower autonomous control applications developing over time.
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ROB MCGREEVY'S CONTACT INFORMATION:
Personal LinkedIn: https://www.linkedin.com/in/rob-mcgreevy-904296/
Company LinkedIn: https://www.linkedin.com/company/aveva/
Company Website: https://www.aveva.com/
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