IDC Case Study on Physical AI in Production and the Future of Enterprise Intelligence
Most conversations about AI still focus on models. The more important question is where intelligence operates.
As vehicles, equipment, cameras, sensors, and connected devices generate larger volumes of data, centralized processing can increase latency, consume bandwidth, raise infrastructure costs, and create privacy concerns.
In many environments, the value of AI depends on whether a decision can happen in the moment, not minutes later.
That’s why Physical AI is gaining attention. Perficient’s transportation enforcement deployment shows what this approach can deliver in production and was included in the IDC Digital Engineering and Operational Technology Services Case Studies Showcase Report, Part 9: Physical AI Services (Doc #US54579026, July 2026). The IDC Case Study noted, “As a leading provider of safety solutions for public transportation and fleet operators across North America, the company works closely with transit authorities, municipalities, and school districts to improve passenger safety, roadway compliance, and operational accountability.”
The deployment...
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