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.

Sep
08
2026

Colin Masson — Industry Best Practice

Beyond the Single "North Star": Are Native Apps or Enterprise Alliances the True Core of the Industrial Data Fabric?

Industrial Data Fabrics are becoming hybrid architectures that combine enterprise platforms, edge DataOps, and lakehouse-native applications rather than relying on a single technology “North Star.”

Sep
08
2026

Colin Masson — Industry Best Practice

Beyond "Making Stuff": How Servitization, Product-in-Use Telemetry, and Industrial Data Fabrics are Turning Manufacturers into Custom AI Builders

Servitization is turning product-in-use telemetry and Industrial Data Fabrics into strategic foundations for proprietary AI, predictive service models, and closed-loop industrial operation.

Sep
08
2026

Colin Masson — Industry Best Practice

The Causal AI Breakthrough: Beyond Correlation to Deterministic Root Cause & Explainability

Causal AI is giving industrial organizations a more explainable and deterministic way to distinguish root causes from symptoms and improve operational decision-making.

Sep
07
2026

Colin Masson — Industry Trends

The Demographic Cliff & Generative UI: Retooling the Connected Frontline Worker

Generative UI and validated industrial knowledge pipelines can help manufacturers preserve frontline expertise without perpetuating unsafe legacy practices.

Sep
07
2026

Colin Masson — Industry Trends

Surviving the SaaSpocalypse & Tokenpocalypse: Outcome-Based AI Procurement, CapEx Edge Escapes, and Commercial Architecture

Industrial enterprises need new commercial models and edge infrastructure strategies to control agentic AI costs as per-seat SaaS and metered token pricing become increasingly misaligned with autonomous digital work.

Sep
04
2026

Marianne D’Aquila — Industry Trends

AI Moves from Feature to Foundation in Formulation Technologies

AI is becoming a foundational capability in formulation technologies, reshaping workflows, supplier strategies, regulatory intelligence, knowledge discovery, and product development.

Sep
04
2026

Rosy Rai — Industry Best Practice

Beyond AI Adoption: How Leadership Creates Real Business Value

AI’s real disruption lies not in the technology itself, but in how leaders redesign decision-making, empower employees, and align human expertise with AI to create lasting business value.

Sep
04
2026

Chantal Polsonetti — Company and Product News

NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI

NVIDIA’s Jetson Orin Nano 2 brings higher AI inference performance and improved power efficiency to entry-level edge AI and robotics applications.

Sep
04
2026

Asha Suparna — Industry Best Practice

From Industrial Automation to Industrial Autonomy

Yokogawa’s Rajeev Joshi explores how industrial AI, reinforcement learning, and a phased approach to autonomy can help process industries move beyond traditional automation while maintaining safety and operator trust.

Sep
03
2026

Jim Frazer — Industry Trends

Uber’s Restructuring Shows Where AI in Logistics Is Really Going

Uber’s restructuring suggests that AI’s bigger logistics impact may come not from automating individual jobs, but from reducing the organizational layers and handoffs required to coordinate work.