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Cloud on a computer chip. Cloud on a computer chip.

Adaptive Cloud

A Perficient Strategic Position

The Factory, Rewired for Hybrid Edge Intelligence

Steve Holstad
Steve Holstad
Principal, Cloud, Perficient

What Is Adaptive Cloud?

Adaptive cloud is a flexible, distributed computing model designed for smart manufacturing. It unifies cloud, edge, and on-premises systems into a single operational fabric that enables real-time intelligence, seamless legacy integration, centralized management, and scalable innovation across sites.

For every $1.00 spent in manufacturing, $2.64 is added to the U.S. economy. – National Association of Manufacturers

Manufacturers are under pressure to modernize, but no one is starting from scratch. Legacy equipment, proprietary protocols, and fragmented systems still dominate the factory floor. While essential, these assets weren’t built to meet today’s demands for real-time data, AI-driven insights, or secure remote operations. Many IoT efforts stall due to complexities with integration, connectivity, and unified management, leaving a patchwork of disconnected systems that limit visibility and hinder innovation.

Diagram showing the different components of smart manufacturing.

Adaptive cloud offers a path forward, not by replacing what exists, but by rewiring it. It creates a unified operational and semantic data fabric that connects legacy systems, local AI, cloud platforms, and edge devices. With centralized management and edge intelligence, manufacturers gain actionable insights where they matter most: on the line, in the moment.

This approach lets leaders modernize on their terms for predictive maintenance, efficiency, quality optimization, and autonomous operations, while improving compliance and control. Adaptive cloud isn’t just an IT strategy—it’s the foundation for the next generation of smart manufacturing.

Cloud on a computer chip. Cloud on a computer chip.

Schedule a Briefing/Workshop

Reach out to us and schedule an adaptive cloud briefing or an introductory workshop.

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