🤔 What The Future of #Blockchain Testing Looks Like?
summary
Forecasts that blockchain plus AI reduce garbage‑in problems by using blockchain for traceable training data, propose explainable AI with counterfactual and adversarial testing, and insist on data‑lineage and penetration tests for smart contracts. Recommends stress testing to address scalability (Bitcoin ~7–10 transactions per second, Ethereum ~10–15 vs Visa ~1700), simulating compliant scenarios, and automating repeated checks with frameworks like Selenium Java and load tools such as Locust or JMeter; reports a real rollout reached ~40% automation after 18 months.
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chapters (12)
- 0:00Introduction and welcome
- 1:13What is blockchain?
- 4:29Blockchain basics explained
- 6:17Understanding AI today
- 8:00AI and blockchain convergence
- 9:44ABC of future: Explainable AI
- 13:14Regulatory compliance in testing
- 14:41Scalability challenges
- 16:07Ensuring data integrity
- 17:54Future outlook for AI and blockchain
- 19:43Ethical considerations ahead
- 21:27Key takeaways and closing
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