Hybrid Manufacturing
Standardize Before You Scale: A CFO/COO Playbook for Best-of-Breed Without the Bloat
The fastest way to scale agentic AI across multi-site manufacturing is not rip-and-replace. According to Infinite Uptime and Cybus at the AI Frontiers 2025 event, the correct sequence is: standardize signals at the sensing layer, require…
The Next Manufacturing Advantage: From Products to Intelligent, Connected Services
Servitization, the shift from selling equipment to delivering ongoing outcomes, is redefining manufacturing competition. Service contracts can deliver margins of 25% or more, compared to roughly 10% on new equipment sales. According to McKinsey, OEMs with…
IIoT and Agentic AI in Manufacturing: Audience Questions, Expert Answers
At the AI Frontiers event, the session “Agentic AI & Integrated Data Workflows: Extracting Value from Existing Manufacturing Systems” drew an engaged audience eager to probe real-world challenges. Their questions cut straight to the heart of…
Building Trust in Autonomous AI for High-Stakes Manufacturing
At AI Frontiers 2025, the "Agentic AI in Manufacturing: From Copilots to Autonomous Systems" panel outlined five strategies for building operator and executive trust in autonomous AI across high-stakes factory environments where even minutes of unplanned…
Is a PoC the Right Path for Manufacturing AI?
PoCs get a bad rap in factories—they often feel like science projects that never leave the lab. They don’t have to. When a PoC is designed to prove scale, not just possibility, it becomes the fastest path…
The Most Effective Strategies for Integrating Agentic AI Into Legacy Manufacturing Environments Without a Full Overhaul
Answering the audience’s questions Integrating agentic AI into legacy manufacturing does not require replacing existing infrastructure. Panelists from Litmus, ZF Group, CESMII, and Arch Systems at AI Frontiers 2025 outlined a practical six-part approach: free trapped…
Managing the Rise of Agentic AI in Manufacturing
Managing agentic AI in manufacturing requires governance built on three principles: centralized control, open standards, and traceable data infrastructure. Peter Sorowka, CEO of Cybus, outlines how manufacturers in regulated sectors like pharma and energy can address…
When Machines Negotiate: A New Way to Run Manufacturing
AI agents in manufacturing can now negotiate trade-offs between energy use, uptime, and quality in real time, without human intervention. According to Technology Advisor Omid Givehchi of ATELIC, this approach, called intelligent autonomy, keeps humans in…
Can the Asset Administrative Shell Make Factory Data AI-Ready?
The Asset Administrative Shell (AAS) is a structured digital envelope around a factory asset that defines its signals, units, data lineage, and access rules. According to the AI Frontiers 2025 panel on smart manufacturing data, AAS…
Agentic AI in manufacturing does not need to begin with a moonshot
Agentic AI in manufacturing does not require a multiyear overhaul to deliver value. According to Arch Systems, the fastest path is to start at the human-machine interface (HMI): let the AI assistant read what operators already…
How Much Prep Work Do Trusted AI Agents Really Need on the Factory Floor?
Deploying trusted AI agents in manufacturing requires the majority of effort in data integration, context modeling, and governance before any model runs. According to the "Agentic AI in Manufacturing: From Copilots to Autonomous Systems" panel, sponsored…
Digital Transformation for Manufacturers: Why Small Firms Can’t Wait
According to the SBA, nearly 98% of all U.S. manufacturers are small businesses. For them, digital transformation is a survival issue. Peggy Gulick, Principal at intelliShift LLC, states that small manufacturers must act now by building…