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.

Aug
28
2026
Jim Frazer — Company and Product News

SAP Is Expanding the Definition of Transportation Management

SAP is broadening transportation management beyond core TMS functionality by connecting advanced planning, carrier collaboration, lighter logistics execution, warehouse integration, and emerging agentic AI capabilities into a more unified logistics execution architecture.
Aug
27
2026
Jim Frazer — Industry Trends

NVIDIA’s $96 Billion Quarter Is Also a Supply Chain Story

NVIDIA’s record quarter highlights more than surging AI demand. Its $279 billion in future supply and capacity commitments shows how AI is becoming a physical infrastructure and supply chain story, with implications for memory availability, margins, logistics automation, physical AI, and agentic systems.
Aug
26
2026
Jim Frazer — Industry Trends

The Supply Chain Operating Model After AI

AI is beginning to reshape the supply chain operating model by changing how intelligence, workflows, decision rights, and execution are organized. The emerging advantage will come from coordinating people, software, and physical operations around faster, better-governed decision systems.
Aug
25
2026
Mark Sen Gupta — Industry Best Practice

Autonomous Operations Isn't About Removing People

Autonomous operations can help process industries scale scarce expertise, automate routine work, and improve safety, reliability, and decision-making without positioning autonomy as a workforce replacement strategy.