It’s no great secret that AI and ML systems make them a challenge for many teams to test. Over the last few years AI infused applications have increased in prominence across sectors and services, a trend that’s set to continue.
As AI & ML infused technology is used more and more and we push for faster and faster delivery, those testing challenges will become more and more apparent and quality assurance teams will need to rise to meet them to preserve velocity or risk massive increases in production issues and reduced system reliability.
The rapid, reliable testing of AI is a cornerstone of MLOps. Join Qualitest’s Ron Ritter (Head of AI Solutions) and Daniel Geater (VP AI Delivery) to find out about how to establish left-shifted and right-shifted quality assurance to enable confident, rapid releases of ML Models by combining automation, Data Science and Quality Engineering best practices.
