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Description
Digital acceleration can't happen without better-quality software, and software testing matters more than ever for quality at speed. However, test automation lags, and growing complexity everywhere challenges testers. Developers are not picking up the ball. As we predicted last year, AI and machine learning (ML) are being hired for job. In this webinar, we discuss:
- The role AI and ML can play to fill the gaps that humans can’t.
- How to distinguish between the myth and reality of AI-based testing.
- The path to get to autonomous testing — augmentation versus automation.
- Who’s the future tester persona going to be: business, technical, developer, . . . or a bot?
Key takeaways:
- Automation levels are stuck — a quick market update.
- Learn the AI- and ML-based testing use cases and how to distinguish the real ones from myths.
- Understand how AI- and ML-based testing will disrupt testing jobs.
- Get an overview of the disruptive and conventional vendors for AI testing products and services.
- A possible path toward autonomous testing is to augment testers and increase automation.
Technical information
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