Automation World has published an article by Lakshmi Duvoor, Head of U.S. Central Business Unit at Altimetrik, titled “Scaling AI in Manufacturing: Overcoming Data and Organizational Barriers.”
Lakshmi explains why most manufacturing AI pilots stall — not because of the technology, but due to fragmented data and the disconnect between IT and OT teams. He emphasizes the need for standardized data, cross-functional collaboration, and adaptive AI models that learn from variability rather than rigid parameters.
As he notes: “Models should be capable of learning from variability rather than relying on rigid parameters, allowing them to adapt to new products or formats.”
The article lays out a roadmap for building scalable, adaptive AI-driven automation systems that can deliver real, repeatable value across plants and production lines.
Altimetrik partners with Google Cloud to launch a Gemini Enterprise capability center, enabling production-scale AI agents and accelerating enterprise AI transformation globally.
A landmark HFS Research and Altimetrik study of 505 Global 2000 executives exposes a critical AI governance gap only 14% of enterprises have a clear AI strategy, and most lack defined human accountability when AI makes decisions. Here’s what it means for your organization.
DETROIT — April 8, 2026 — Across enterprises, AI shapes hiring decisions, influences capital allocation, triggers compliance actions, and steers operational trade-offs at a scale no executive team can realistically supervise. A new report from Altimetrik, in partnership with HFS Research, finds that the vast majority of enterprises have deployed AI without answering a fundamental […]
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