Recent World Quality report says that
“We believe that the most important solution to overcome increasing QA and Testing Challenges will be the emerging introduction of machine-based intelligence,”
AI is not something new, it has been there since 1950’s. For as long as there has been software, there has been software testing and there will be AI in Software testing. At Zuci, we are excited to host a Webinar on the topic
Gartner predicts that in 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity.
Applying decade-old AI techniques to the software testing industry has only really started to become feasible since the past year. One of the biggest use cases of AI in software testing is, detecting bugs before they cost a fortune to the company.
Bugs can become more expensive when detected later in the software development process starting from $100 in the Requirements phase to $10,000 in the Production phase.
The pressure on companies to deliver quality software at a greater speed has never been this high. Harnessing the power of AI and ML is the way to go forward.