Validata Blog: Talk AI-powered Testing

Ensuring data quality has become a critical issue in the era of big data. Over a decade ago, The Economist predicted that the world would soon be overwhelmed by an abundance of data. With the world producing 2.5 quintillion bytes of data daily, companies are faced with a massive amount of data that is too large to manage and process with traditional BI tools. When the cloud market was still in its infancy and data infrastructure was both expensive and inflexible, the biggest challenge was managing large volumes of data.

Data onboarding is the challenging process of importing and migrating data from one application to another, which can can have significant consequences for businesses and customers.

When a manager asks why a tester didn't catch a bug in production, the tester should first accept that it is their responsibility to look for bugs but not necessarily their fault if they don't catch them all. Bugs are usually well-hidden and even the developers who put them in may not have found them. Evaluation of the testing process is a way to give management reasonable explanation on why malfunctions still occur.

Software glitches in a bank’s software system can be one of the most troublesome issues that turn customers’ everyday life into a challenge. In banking, testing complex software in real-time is vital yet tricky as requirements change too rapidly to meet customer expectations. While organizations do spend a lot of resources to accelerate security from external threats, checking the actual quality of the code is being underestimated. Software malfunctions put banks in the headlines many times during 2022. Here are some of this year’s software failures: