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Articles tagged as AI in manufacturing

Embracing AI-Driven Decision Making in Manufacturing

AI-driven decision making in manufacturing delivers measurable results when leadership commitment, operator trust, and incremental scaling align. In a conversation between Alec Glenn of JSW Steel USA and Karthikeyan Natarajan, Co-CEO of Infinite Uptime, concrete outcomes…

What Manufacturing Leaders Misjudged About AI in 2025

In 2025, manufacturers implemented AI across forecasting, logistics, and supplier risk scoring expecting breakthroughs, but a clear pattern emerged: AI improved awareness and decision support without eliminating uncertainty or delivering automatic resilience. Based on a panel…

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…

AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing

On Wednesday, September 10, 2025, IIoT World will host AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing, a free online event bringing together global leaders in AI, industrial data, IIoT, and digital transformation. This one-day virtual conference…

AI as a Skill Multiplier in Manufacturing, Not a Replacement

The manufacturing skills gap continues to grow. Rather than viewing AI as a wholesale replacement for human labor, forward-thinking manufacturers are deploying it as a skill multiplier , amplifying the expertise of existing workers so that…

Why AI Success in Manufacturing Starts with Leadership, Not Code

Most conversations about AI in manufacturing focus on algorithms, data pipelines, and compute infrastructure, but the evidence increasingly points to a different success factor: leadership. According to industry research, over 70% of AI pilot projects in…

Rethinking MES Architecture for the Age of AI and Edge Computing

Traditional Manufacturing Execution Systems were designed for a world where data flowed in one direction, from the shop floor up to enterprise dashboards, in batch intervals measured in minutes or hours. That architecture cannot support the…