<Session Report> Ryoto Ogawa, CEO of UTokyo Matsuo Lab Startup '2WINS,' Guest Speaker at JaSST'26 Tokyo, Japan's Largest Software Testing Conference
NQ Score
50/100
Key facts
- <Session Report> Ryoto Ogawa, CEO of UTokyo Matsuo Lab Startup '2WINS,' Guest Speaker at JaSST'26 Tokyo, Japan's Largest Software Testing Conference
- Ryoto Ogawa, CEO of the AI startup 2WINS from the University of Tokyo, spoke at 'JaSST'26 Tokyo,' one of Japan's largest technical conferences for software testing. In a session with Pole To Win, he discussed the redefining of Quality Assurance (QA) and the importance of probabilistic approaches in the era of AI-Driven Development (AIDD).
- Source: PR TIMES
- Date: Sat Apr 04 2026 01:00:01 GMT+0900 (Japan Standard Time)
Direct answer
Ryoto Ogawa, CEO of the AI startup 2WINS from the University of Tokyo, spoke at 'JaSST'26 Tokyo,' one of Japan's largest technical conferences for software testing. In a session with Pole To Win, he discussed the redefining of Quality Assurance (QA) and the importance of probabilistic approaches in the era of AI-Driven Development (AIDD).
- Citation
- <Session Report> Ryoto Ogawa, CEO of UTokyo Matsuo Lab Startup '2WINS,' Guest Speaker at JaSST'26 Tokyo, Japan's Largest Software Testing Conference (Sat Apr 04 2026 01:00:01 GMT+0900 (Japan Standard Time)), PR TIMES
- Source
- PR TIMES
- Date
- Sat Apr 04 2026 01:00:01 GMT+0900 (Japan Standard Time)
AI Summary (NQ-processed)
Ryoto Ogawa, CEO of the AI startup 2WINS from the University of Tokyo, spoke at 'JaSST'26 Tokyo,' one of Japan's largest technical conferences for software testing. In a session with Pole To Win, he discussed the redefining of Quality Assurance (QA) and the importance of probabilistic approaches in the era of AI-Driven Development (AIDD).
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Frequently Asked Questions
- Q: What is AIDD (AI-Driven Development)?
- A: It is a methodology that integrates AI into all phases of software development (design, implementation, testing) to improve efficiency and quality.
- Q: Why is 'probabilistic fluctuation' important in the AI era's QA?
- A: Since AI like LLMs generates output based on probability, QA must shift from deterministic 'correctness' to statistically managing the probability of correct results.
- Q: How will the role of QA engineers change?
- A: Their role will shift from manual verification to upstream quality design, decision-making, and judging the validity of AI-generated specifications.