Automation requires precise data and careful attention to uncertainty, especially in longer processes with less human involvement, according to Chris Gordon from Optronic Laboratories.
Measurement Uncertainty 101: Automation, Bias and Advanced Management
Related Posts
Rethinking Physical Testing for Defensible Results
The mindset of auditors for physical test has shifted from asking “Are procedures being followed?” to “Where could…
Why AI-Accelerated Software Delivery is Creating a Release Confidence Gap
AI coding is changing the economics of software delivery. But faster code does not guarantee safer releases. The…
DevSecOps with Agentic AI: Autonomous Security Testing in CI/CD Pipelines
Table of Contents AI Agents in DevOps and Security Strengthening Security in DevSecOps with Agentic AI How Does…
