Tester! Plan Your Ride to the Moon
summary
Argues that testers must acquire specialist skills for AI and Big Data and lists concrete technology areas to focus on: mobile apps, Google Home, IoT devices, machine learning models, and blockchain/Bitcoin. Uses the gorilla inattentional blindness demo to show cognitive-bias risks in testing, maps failure modes across those technologies, and gives a practical survival roadmap of skills to learn and experiments to run with real product examples and testing patterns.
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chapters (20)
- 0:00Tester's journey welcome
- 3:05Shift left testing
- 4:30Technology trends
- 6:40Mobile privacy
- 8:12Blockchain explained
- 9:36Cryptocurrency testing
- 10:25AI in testing
- 12:37ML in devices
- 14:04IoT health monitoring
- 15:28Tester skills analogy
- 16:58Specialized testing skills
- 18:22Cognitive bias in testing
- 19:54Attentional blindness
- 22:25New tech vs core testing
- 24:17UX and performance focus
- 25:47Structured test data
- 27:18Computing power growth
- 28:23Career planning in testing
- 31:50Tester roadmap
- 32:56Q&A
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