“AI driven solutions reduces the need for manual labor in repetitive tasks.” That is the headline.
“Predictive analytics” “Efficient Bug Hunting” “More Efficient Test Maintenance” “Optimized Test Coverage” “Scalability” are touted as core benefits.
But what could the real work look like? Spend some time with testing team leaders talking about the practical implications of applying GenAI concepts in a real testing organization. Join us for an interactive discussion on how Large Language Models may be able to truly accelerate a testing organization’s responsibility in such areas such as:
o Design Analysis
o Requirement Analysis
o TC Structure Gap Analysis
o Call Center Testing
-Generate user script
-Generate different voices for voice recognition
o Scenario Generation
o Text to SQL for queries for report/db testing