Industrial AI Viewpoints

Featured here are original and timely articles from ARC analysts and guest writers on Industial AI and its impact on Energy & Manufacturing industries. We dive into technologies such as AI models, machine learning, industry standards, AI use cases, companies driving this technology and more related to Industrial AI. Our goal is to provide readers with clear and concise analyses, opinions, and discussion of Industrial AI trends, technologies, and services.

Mar
31
2026
Peter Reynolds — Technology Trends

Accelerating the Open Digital Ecosystem

The Open Digital Ecosystem Working Group defines principles and a collaborative framework to enable interoperable, scalable digital twins across the asset lifecycle.
Mar
26
2026
Colin Masson — Technology Trends

Mapping the Battlefield: Axes 1 and 2 of ARC's Industrial AI Taxonomy

A structured framework for Industrial AI adoption that defines where AI operates (Axis 1) and how it must be architected (Axis 2), emphasizing data sovereignty, domain-specific constraints, and the need for specialized model classes over generalized foundation models.
Mar
26
2026
— Industry Trends

Industrial AI in India’s Pharmaceutical Sector

In India’s pharmaceutical sector, Industrial AI leverages artificial intelligence and machine learning across manufacturing, quality assurance, research and development, clinical processes, and supply chain management.