Software Testing and Quality Assurance

Financial Technology (popularly known as Fintech) offers immense opportunities to financial institutions, improving their overall user experience. FinTech is considered as the “4th industrial revolution”, which has remarkably waves even at a nascent phase. Cutting-edge innovations like AI and Blockchain are ushering the new ways of doing business in the financial sector. It offers customized services through a shared ecosystem with customer consent and hence, unlocking the immense potential for Open Banking. Fields like insurance, banking, electronic payments, loans, and wealth management are all getting a digital facelift. The Value of Financial Technology Applications The overview of Fintech with a focus on B2C, comprising business models, consumer views, market size, blockchain technology, and company profiles can be found in our Statista Report 2019.   · In 2018, 70% of senior banking executives said that collaborating with Bigtechs and Fintechs to create a n

Machine Learning is on track to be worth around USD 9 billion by 2023. This is due to the fact that the ML industry is booming at a rapid rate. The impact of such technology goes beyond the internet industry. They will reach the agriculture, legal, automobile, and health industries. People are more concerned and interested in knowing how the integration of ML can benefit their business.  To remain relevant and at the forefront of fast-paced and rapidly changing verticals, innovation is necessary. As such, it is significant to keep track of new progress in science and technology. Let’s examine the machine learning trends of 2020: 1. Cloud Computing Optimization  The cloud computing industry is projected to increase to over $220 billion in 2020 from $175.8 billion in 2018. The increasing demand for cloud services will attract the provider to utilize artificial intelligence. At present, new customers require certified specialists to use cloud platforms that make cloud computin