QASource Blog

A chatbot powered by an artificial intelligence (AI) program acts as a conversation agent for your business. It simulates the chat or conversation with a user in natural language via mobile applications, messengers, or websites.

The financial services sector is constantly evolving. Increasing investor scrutiny, changing market trends and constant technological developments have made it imperative for financial institutions to harness the latest technology to provide quality customer service.

The use of artificial intelligence in test automation is one of the latest trends dominating the quality assurance industry. In fact, in Capgemini’s survey titled World Quality Report 2020-2021, 21% of IT leaders said that they are implementing AI in some form or another in their testing methodologies, while only 2% said that AI has no part in their future planning.

MFA creates multiple layers of protection that make it harder for any unauthorized user to access an application. If one layer breaks, the attacker still has to break through more barriers to get access, which is not an easy task.

There’s no doubt that automation testing is the quickest and most cost-effective method of QA testing. However, it cannot do everything, since some limitations of automation testing are built into the system and must be balanced against manual testing, while some are the result of inexact pre-programming, such as a failure to develop effective automation test hooks. Let's look at some of the drawbacks of automation testing:

The use of AI in software testing is geared towards making the software development lifecycle easier. Through the application of reasoning, problem solving and machine learning, artificial intelligence can be used to reduce the tedious and manual aspects of software development and testing, and automate the whole process. What Is Automation Testing? Automation testing is the software testing process of running test cases by using automated testing tools. With this type of testing, QA teams can perform tests faster, receive more accurate results and address code defects sooner.

Artificial neural networks are programs inspired by the human brain. A variety of industries are now utilizing them, but a few leading the adoption of ANN include the manufacturing, security, and healthcare industries.

Mobile device passwords or patterns were considered the best methods for securing the app data. It is quite tedious for a user to remember multiple passwords for each app. Click to read more about biometric mobile app testing.

SAP (Systems, Applications and Products) is a software package that enterprises use to manage business processes. It integrates all operations including finance, sales, production, logistics, distribution, accounting and human resource.