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AI-powered Software Testing: Lessons from Siemens & Shopify

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Manage episode 477405873 series 3645872
Content provided by Dean Bodart. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dean Bodart or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, we explore how artificial intelligence is fundamentally reshaping the software testing landscape. We start with Shopify’s 2025 directive requiring teams to prove that AI cannot handle a task before hiring a new employee. We then examine how Siemens Digital Industries Software is embedding AI into its Tessent testing tools, using analytical, predictive, and generative AI to optimize chip and software testing.

Topics covered include the current pace of AI adoption in testing, practical examples of AI-powered quality engineering, and the skills QA professionals will need in the coming years. Whether you are a software engineer, QA lead, or tech executive, this episode offers actionable insights into the future of AI-augmented software testing.

Check out the content on LinkedIn 👉

Connect with Dean on LinkedIn 👉

  continue reading

14 episodes

Artwork
iconShare
 
Manage episode 477405873 series 3645872
Content provided by Dean Bodart. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dean Bodart or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, we explore how artificial intelligence is fundamentally reshaping the software testing landscape. We start with Shopify’s 2025 directive requiring teams to prove that AI cannot handle a task before hiring a new employee. We then examine how Siemens Digital Industries Software is embedding AI into its Tessent testing tools, using analytical, predictive, and generative AI to optimize chip and software testing.

Topics covered include the current pace of AI adoption in testing, practical examples of AI-powered quality engineering, and the skills QA professionals will need in the coming years. Whether you are a software engineer, QA lead, or tech executive, this episode offers actionable insights into the future of AI-augmented software testing.

Check out the content on LinkedIn 👉

Connect with Dean on LinkedIn 👉

  continue reading

14 episodes

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