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
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
20
2026
Jim Frazer — Technology Trends

Conclusion: The Future of Logistics Is Connected Intelligence

AI is transforming supply chains into connected, intelligent ecosystems by integrating A2A, MCP, RAG, and Graph RAG with modern infrastructure, harmonized data, and governance to enable real-time, context-aware decision-making.
Mar
20
2026
Bob Gill — Podcasts/Videos

Chris Lee: Ambitions for AVEVA in Asia Pacific

Chris Lee outlines AVEVA’s Asia Pacific strategy, highlighting digital transformation, AI at scale, and the role of industrial software in driving performance, sustainability, and innovation.
Mar
17
2026
Colin Masson — Technology Trends

Demystifying Industrial AI: A New Voyage of Discovery

ARC Advisory Group introduces a 3-Axis Industrial AI taxonomy to help end users evaluate AI models beyond vendor hype, addressing growing concerns around transparency, safety, and data governance.