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As the number and frequency of application releases increase significantly, the number of test cycles becomes a glaring bottleneck to the release process. With more and more focus put on the customer experience and application quality, teams also must look at increasing code coverage, which only extends the test cycle time and can delay production releases.
Test automation may speed up individual testing functions, but it’s still not enough to close the gap for agile teams. It’s time to apply a testing AI to your testing bottleneck.
Join this web seminar to learn how you can shorten your testing cycle and engineer intelligence into your release process to discover issues as early as possible, fail fast, and release on time with better quality.
You also will learn how to:
- Move from old, traditional testing frameworks to new, modern technologies
- Quickly identify risks in your changes to test those areas first
- Find bugs earlier in the release process
- Understand the overall health of your release
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Intelligent Testing: Why Traditional Testing Practices Are No Longer Relevant
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