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Can hands-on ai labs speed up enterprise adoption?

Source:Arrow Electronics Release Date:2026-07-16 53
Semiconductor / Electronic ChipIntelligent AutomationArtificial Intelligence & Machine Learning Software & Control
Arrow Electronics has launched Global Experience Centers to help customers and channel partners turn AI ambitions into real-world deployments. Located in the US and Sweden, the facilities provide hands-on environments for testing AI, cloud and cybersecurity solutions, conducting proof-of-concept projects and validating multivendor architectures before investment—helping reduce risk and accelerate enterprise AI adoption.

 

As AI projects move from experimentation to deployment, many organisations are struggling to bridge the gap between proof of concept and real-world implementation. Arrow Electronics is aiming to close that gap with the launch of its Global Experience Centers—a network of hands-on facilities where customers and channel partners can test, validate and refine AI, cloud and cybersecurity solutions before making investment decisions.

 

The first centers, located in Alpharetta, Georgia, and Stockholm, Sweden, are connected through a common infrastructure, allowing partners across North America and Europe to access the same tools, demonstrations and testing environments. The facilities are designed to simulate real-world deployments, enabling organisations to evaluate multivendor solutions, conduct proof-of-concept projects and assess performance before rolling out technologies in production.

 

Beyond demonstrations, the centers provide technical support for AI solution design, cloud integration, cybersecurity validation and data readiness assessments. Arrow says the initiative is intended to help channel partners accelerate AI adoption while shortening deployment cycles and reducing implementation risks.

 

The launch reflects a broader industry trend as distributors and technology providers expand their role beyond hardware supply to become solution enablers. With enterprises increasingly seeking practical guidance on deploying AI infrastructure, experience centers are emerging as valuable environments for testing complex technologies before committing capital.

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