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Practical Applications of AI and Machine Learning for Smarter Test Automation

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AI and machine learning are the latest buzzwords to hit the software industry, but it seems like everyone has a different interpretation about what they mean and how they can help organizations be successful. How do we make any sense of it all, and how does it apply to software test automation in a practical way?

Join this web seminar to learn about the state of AI and machine learning in software testing and how leading organizations are taking advantage of these technologies for smarter test automation.

You will learn:
  • How to leverage AI and machine learning in the context of software testing
  • How to use machine learning to build a scalable testing practice that is efficient, consistent, and change-resistant
  • Ways AI and machine learning can help organizations achieve higher levels of automation and augmentation
  • How these technologies ultimately unblock the DevOps pipeline to deliver at the speed of agile


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Speakers

Diego Lo Giudice

With Forrester since July 2005, Diego primarily contributes to and advises on Forrester's offerings for Application Development & Delivery Professionals. He partners with Forrester's global application leaders and is a leading expert on SDLC processes and practices, covering topics such as agile development, agile and lean transformations, agile development sourcing strategies and services, agile testing practices and tools, DevOps, and software testing and quality, with a key focus on systems of engagement. Diego also covers software delivery metrics, artificial intelligence, and open source governance.

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