QASource Blog

Today, we enjoy the convenience of shopping from the comfort of our homes. However, when making online payments, have you ever realized that there may be some hacker watching for your card details?

With the growing number of E-commerce users to an estimated 164 million worldwide, securing user's card data becomes utmost important for organizations providing online transaction facilities. We have a standard called 'PCI DSS' to take care of the security of user's card data.

Chatbots are becoming very popular these days and expected to grow exponentially in many fields including Healthcare, Banking, Financial services, Travel & Tourism, Retail, Media & Entertainment, E-commerce etc. Benefits with chatbots are 24X7 availability, quick response, increased ROI for support and solutions for repetitive questions.

In this newsletter, we bring you the concepts related to Chatbots trends, Chatbot types, Chatbot testing standpoints so that you can have good understanding.

Blockchain, the technology supporting cryptocurrencies, seems to be the driving technology for the next generation of Internet. Blockchain is a novel solution to the age-old problem of trust. It allows to trust the outputs of the system without trusting any institutional body in between. As techies and experts contemplate the potential ramifications both good and bad, lets talk about more about test automation part of it.

Since few years, we have witnessed that big data has become a vital component in banking, healthcare, retail, education, and research domains. As an end user, we are consuming as well as producing data. This information is processed by various applications for analysis, predictions, and decision-making. Enormous growth, efficiency and performance of big data applications can make a huge impact in our daily lives.

Data science is pertinent to many fields including finance, social media, security, healthcare, defense, medicine, economics, marketing, fraud detection, geolocation, and many more.

During different phases of Data Science, data is discovered, conditioned, extracted, compiled, processed, analyzed, interpreted, modeled, visualized, reported, and presented regardless of the size of the data being processed to have some actionable items to be used for business purposes.

In this newsletter, we bring you the concepts that help us to gain insight into Data Science and its trends, Data Science types, Machine Learning Life cycle so that you can have good understanding about it.