The future of test automation: resolving the quality/velocity dilemma using AI

In the digital era, where every bug hurts your business, organizations are forced to trade off between faster time to market and flawless user experience. Can AI resolve this conflict? AI is affecting almost every domain, including quality assurance, which is currently one of the biggest the bottlenecks in achieving CI/CD. In this talk, we will discuss the reasons for this tension and drill down into some specific challenges around creating stable, scalable test automation. We will show how applying artificial intelligence is helping engineering organizations achieve quality-velocity balance today and how autonomous testing will change the way software will be developed in the future.

Key Takeaways:

• Current challenges of test automation
• How to leverage AI to overcome software quality pitfalls
• Steps teams need to take now to be prepared for the future of testing