In the past few years, we have seen a drastic change in technology. During the last decade, many ideas have become a reality. In fact, in 2017, many of these technological innovations became available to the general public, such as humanoids, VPAs, self-driven cars etc. Due to these frequent technological changes and innovations, it is important for SQA companies to stay updated and upgrade their traditional testing techniques. Also, they need to train and help engineers learn new testing skills for a good quality assurance.
In this newsletter, QASource has come up with a few forecasts for some trending technologies being used in the industry i.e. AI, IoT, Big Data, and Blockchain and the changes/enhancements required in our current testing techniques.
There has been a rapid shift towards digitization worldwide. In the past year alone, many technology innovations have been used towards providing smarter automated solutions: citizenship to humanoids, back-flipping robots, drones for delivering packages, self-driven taxis, facial recognition in cell phones, robotic cooks, prevalence of cryptocurrencies, smart contracts, AI-powered QA tools, to name a few. In 2018, QASource foresees more adoption of technologies like AI, IoT, Big Data and Blockchain in our daily lives, which will further change the current landscape of SQA world.
So, here are the details:
A brief definition of AI is 'to make the machines/computers learn from their experience'. A few examples from current innovations are Saudi Arabia's first humanoid citizen, Apple's Siri, Facebook's M, Tesla's self-driven cars, etc.
It's a prediction that by year 2020, IoT will connect 50 billion devices. The Internet of Things is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and network connectivity which enables these objects to connect and exchange data.
A Blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography. It is a kind of distributed ledger to record the transactions of cryptocurrencies like Bitcoin and Ethereum, and to enhance the supply chain management system for a better business growth.
Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time, and can be used to make predictions and help in decision making.
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The information contained in this newsletter is for general information purposes only. All the information have been collected from blogs, tools' websites, forums, through our research etc. and we have made utmost effort to keep the information up to date and relevant.