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.

Jun
23
2026
— Industry Trends

Beyond “What is AI?”

AI is no longer just a tool for answering prompts. Increasingly, it is part of decision-making flows, customer experiences, software systems, and workplace habits. As organizations and individuals adopt more capable systems, the focus must move from novelty to impact, from capability to consequence, and from experimentation to responsibility.
Jun
17
2026
David Humphrey — Company and Product News

Siemens Expands Eigen Engineering Agent Capabilities

Siemens announced new capabilities for the Eigen Engineering Agent that help automation engineers connect electrical design context with TIA Portal projects, reducing manual setup work and improving engineering consistency.
Jun
17
2026
Jim Frazer — Company and Product News

Why Octave’s Austin Event Matters: From Asset Lifecycle Software to Intelligence at Scale

Octave Live OnTour Austin takes place at a consequential point in the evolution of the industrial software market. Asset-intensive organizations are under sustained pressure to improve capital project execution, asset reliability, operational resilience, safety, quality, cybersecurity, and workforce productivity. At the same time, they are being asked to make better use of data and apply AI in ways that are practical, governed, and operationally relevant.
Jun
17
2026
— Industry Trends

How AI Is Reviving Assam’s Aging Oilfields

In Assam, AI is proving its value in one of the toughest operating environments in India - where fields are old, infrastructure is aging, terrain is difficult, and decades of data sit in disconnected formats. In this setting, AI is not just a productivity layer. It is becoming a field-revival strategy.