Machine Learning (ML) or artificial intelligence (AI) tools are the hottest topics right now in the testing industry, however, QA managers and manual testers have little to no knowledge about it. Thus, Yarin, the co-founder of TestCraft will go deeply into the details of ML functionality and explain the importance of ML & codeless Selenium – with real examples, statistics, and applications.
You can start painting without learning how to draw, but a good artist can tell — just by looking at a painting— if a work of art was done by someone who was an experienced artist, or a novice. Similarly, you can start automation without much training, but an engineer, well versed in automation, can quickly tell whether someone is practiced or not.
Delivering a compliant product can be a resource intensive and challenging activity for most teams. Whether a team is trying to be compliant with company standards, industry standards or international standard it needs to produce various deliverables like specifications and formal verification documents.
The value of machine learning is rooted in its ability to create models that guide future actions and to discover patterns missed by the naked eye. Machine learning methods are vastly superior in analyzing potential customer churn across data from multiple sources such as transactional, social media, and CRM sources.