How should we measure the success of a test automation project: tests automated or bugs found? QA teams often struggle to balance resources to meet the testing requirements, to match the velocity of the dev team, and to certify the quality of the code.

In this webinar, we’ll see how AI-based testing fundamentally shifts not only how we test, but what we test. By combining the domain knowledge of your experts with an expert-system AI, we’ll create an application-specific intelligence that can autonomously test your system without human oversight or assistance. Now that we have the power to scale testing to any level, we can stop being testers and finally become quality assurers.

Join us to learn:
- How to focus on finding bugs not on how many tests we can automate
- That we can use artifacts in plain sight to train the AI on our business rules, validations, and behaviors
- There is deep metadata that the AI can exhibit which shows where the defect density is high, where performance is slow, and where the application is not being tested
- That the way we test will never be the same again.

In our last web seminar, we discussed the value of measuring Application Coverage as a better success metric than Test Coverage. In this web seminar, we build on this notion by providing a complete perspective on testing that positions your team, and your application, to maximize your impact.

Kevin Parker
Vice President of Customer Success, Appvance.ai
Kevin Parker is the Vice President of Customer Success at Appvance.ai. He is a 30-year industry veteran and the holder of four technology patents.
He specializes in the Digital Transformation of Business Systems through DevOps, Agile, Shift Left, software development, software testing, software release management, digital transformation, micro-services architectures, and web-services architectures.
In addition to Kevin working with Appvance customers to ensure their success, he has been crossing the globe working closely with analysts, the press, customers, partners, and employees to exchange ideas about industry direction and business issues.
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