Explore our latest thoughts on AI, enterprise software, test automation, and decision intelligence.
With AI washing running rampant and 42% of enterprise AI projects abandoned, vendor selection has never been more critical. Here's how to evaluate AI vendors and choose solutions that actually deliver ROI.
Research identifies 34 key factors that determine bid success, yet most organizations make pursuit decisions based on gut feel. Here's how to implement data-driven bid/no-bid frameworks that improve win rates by 25%+.
Multi-criteria decision making (MCDM) with weighted scoring transforms subjective decisions into defensible, repeatable processes. Here's how to implement decision frameworks that improve outcomes by 25-40%.
From DORA's four key metrics to SPACE and DX Core 4, modern quality measurement has evolved far beyond defect counts. Here's your guide to the metrics frameworks driving engineering excellence in 2025.
DORA research shows 75% of elite DevOps performers have continuous testing integrated into CI/CD pipelines. Here's how to implement continuous testing that accelerates delivery without sacrificing quality.
The API testing market is projected to reach $8.24 billion by 2030. As microservices architectures dominate enterprise development, effective API testing becomes critical. Here's your complete strategy guide.
Organizations using AI for regression test optimization report 500% faster test cycles while maintaining or improving defect detection. Here's how machine learning transforms regression testing economics.
Gartner predicts 60% of data used for AI and analytics will be synthetically generated by 2025. For testing, synthetic data solves privacy, availability, and coverage challenges. Here's your complete guide.
QA teams spend 60-70% of their time maintaining existing tests rather than creating new ones. Self-healing test automation uses AI to automatically fix broken tests, reclaiming thousands of hours annually.