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.

Feb
27
2026

Jim Frazer — Technology Trends

Data Harmonization and Infrastructure Requirements for AI in the Supply Chain

Data harmonization is the foundational requirement for AI-driven supply chains, ensuring that A2A agents, MCP memory layers, RAG pipelines, and graph-based reasoning operate on consistent, integrated, and reliable enterprise data.

Feb
26
2026

Marianne D’Aquila — Company and Product News

Aras Expands Cloud PLM Strategy to Support Flexible Deployment and AI Access

Aras has expanded its cloud strategy for Aras Innovator to provide flexible deployment models and accelerated access to AI-enabled PLM and digital thread capabilities.

Feb
26
2026

Colin Masson — Technology Trends

The Context Crisis: Decoupling Data, Defending IP, and the Missing Link for Agentic AI

ARC analysis argues that scalable Industrial AI requires data decoupling combined with context engineering, digital twins, and abstraction layers like MCP to balance interoperability, sovereignty, and vendor innovation.

Feb
25
2026

Colin Masson — Technology Trends

The Convergence Catalyst: How AI Finally Broke the IT/OT Deadlock

ARC’s role-based survey analysis shows that the primary barrier to scaling Industrial AI is internal IT, OT, and business misalignment, despite unprecedented consensus on data, autonomy, and AI priorities.

Feb
25
2026

Colin Masson — Technology Trends

Lost in Translation: Why Headquarters-Driven AI Fails at the Border

ARC’s regional survey insights show that geography is dictating distinct Industrial AI architectures, challenging centralized, one-size-fits-all global technology rollouts.

Feb
24
2026

Colin Masson — Technology Trends

Beyond the Hype: How Industrial AI Pacesetters Are Rewriting the Rules of Scale in 2026

ARC’s Industrial AI Pacesetters 2026 insights highlight a widening “Schism of Speed,” showing that organizations with strong data fabrics and scalable AI strategies are compounding gains while others remain stuck in pilot-stage deployments.

Feb
24
2026

Colin Masson — Technology Trends

Stop Pitching Generic (and Gen) AI: Why Your Industrial Strategy Needs a Vertical Reality Check

ARC’s vertical survey analysis shows that Industrial AI success depends on industry-specific physics, regulatory constraints, and legacy environments, not generic or GenAI-first strategies.

Feb
20
2026

Chantal Polsonetti — Technology Trends

IO-Link Performance Increases

Advancements in IO-Link performance, security guidelines, and certified IO-Link Safety specifications are enhancing intelligent sensor integration and secure industrial automation.

Feb
20
2026

Colin Masson — Technology Trends

The PepsiCo Blueprint: What an Industrial AI Pacesetter Looks Like in 2026

PepsiCo’s keynote at the ARC Industry Leadership Forum 2026 illustrates how Pacesetter organizations are operationalizing Industrial AI at scale through unified data, agentic autonomy, digital twins, and hybrid human–AI workforces.

Feb
20
2026

Craig Resnick — Podcasts/Videos

Software-Defined Automation: Foxboro SDA and the Shift Toward Open Control Architectures

Schneider Electric’s Foxboro Software-Defined Automation builds on EcoStruxure Automation Expert to enable hardware abstraction, open interoperability, phased DCS modernization, and IT/OT convergence in process industries.