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Quality in AI — feat. Adam Smith (Dragonfly)
An AI standards leader on cognitive bias, testing AI, and building enterprise AI like Nero.
Jonathon Wright talks with Adam Smith, CTO of Dragonfly and an ISO and European Commission AI contributor, about quality in AI. They cover cognitive bias in training data, the difficulty of modelling all possible journeys and test environments, and autonomous-systems edge cases. Adam points listeners to resources like the A4Q AI and Software Testing course (with Rex Black), Jupyter Notebook and Kaggle's Titanic exercise for building confidence. He describes his enterprise AI 'Nero', which predicts defect assignment and unifies structured and unstructured data into a single pane of truth, and the pair discuss revitalising the BCS SIGiST community. (Note: guest audio is largely missing; host side dominates the transcript.)
**In this episode:**
- AI in Testing
- Test Data & Environments
- Test Data Management
- Test Metrics & Reporting
- QA Leadership
- Mentoring & Community
**Guest:** Adam Smith — CTO, Dragonfly
**Host:** Jonathon Wright — *The Automation Cyborg*
> “You're not going to get a direct answer out; you're going to build your confidence up, the more information and the further you get.”
🎧 *Subscribe to The QA Lead on Apple Podcasts, Spotify and Google Podcasts for conversations on software testing, QA, test automation and the future of quality engineering.*
## Hashtags
#SoftwareTesting #QA #QualityEngineering #TheQALead #TestingPodcast #AITesting #TestEnvironments #TestData #TestMetrics #QALeadership #Mentoring #AIAssurance
## Apple Podcasts keywords (comma-separated tags)
software testing, QA, quality assurance, test automation, quality engineering, QA podcast, ai in testing, test data & environments, test data management, test metrics & report
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By Automation CyborgAn AI standards leader on cognitive bias, testing AI, and building enterprise AI like Nero.
Jonathon Wright talks with Adam Smith, CTO of Dragonfly and an ISO and European Commission AI contributor, about quality in AI. They cover cognitive bias in training data, the difficulty of modelling all possible journeys and test environments, and autonomous-systems edge cases. Adam points listeners to resources like the A4Q AI and Software Testing course (with Rex Black), Jupyter Notebook and Kaggle's Titanic exercise for building confidence. He describes his enterprise AI 'Nero', which predicts defect assignment and unifies structured and unstructured data into a single pane of truth, and the pair discuss revitalising the BCS SIGiST community. (Note: guest audio is largely missing; host side dominates the transcript.)
**In this episode:**
- AI in Testing
- Test Data & Environments
- Test Data Management
- Test Metrics & Reporting
- QA Leadership
- Mentoring & Community
**Guest:** Adam Smith — CTO, Dragonfly
**Host:** Jonathon Wright — *The Automation Cyborg*
> “You're not going to get a direct answer out; you're going to build your confidence up, the more information and the further you get.”
🎧 *Subscribe to The QA Lead on Apple Podcasts, Spotify and Google Podcasts for conversations on software testing, QA, test automation and the future of quality engineering.*
## Hashtags
#SoftwareTesting #QA #QualityEngineering #TheQALead #TestingPodcast #AITesting #TestEnvironments #TestData #TestMetrics #QALeadership #Mentoring #AIAssurance
## Apple Podcasts keywords (comma-separated tags)
software testing, QA, quality assurance, test automation, quality engineering, QA podcast, ai in testing, test data & environments, test data management, test metrics & report