Does it seem like only a few decades back we heard about Artificial Intelligence and got familiar with the notion in Sci-fi movies? Although the concept of AI is in existence for decades, its growth was rapid in the recent past. A famous report says that AI research has grown by 12.9% annually on a global scale. Having overtaken the U.S. already China is all set to become the pacesetter and will become the biggest source of AI research globally within the next four years, says the report. Undoubtedly, in the future AI-based technologies will be perpetually present and drive every industry one can ever think of.
Tech Giants Invest in AI
Advanced AI technologies are capable of providing infinite solutions starting from our toothbrush like Oral-B’s Genius X toothbrush to intelligent assistants like Apple’s Siri. This toothbrush by Oral-B is one of the many devices showcased at CES 2019 for its AI abilities. Similarly, we can witness many AI assistants that help in homes and workplaces and making a huge impact in various areas of life. There is so much that AI can do to make our lives better and easier since there is no limit to it.
Usage of AI is evident in almost every industry out there in the market like the following:
- Banking and Finance
- Logistics and Transport
- Software Development
- IT Service Management
- Customer Experience
Tech giants like Google, Facebook, and Microsoft have started to implement AI in their business. Google leveraged a considerable number of resources to build AI operations starting from the scratch, from servers to processors to its proprietary software platform. Large companies like Amazon, Facebook, Spotify, and Netflix also have deployed AI-based solutions based on customer preferences like movie recommendations and the use of voice-based assistance for servicing.
AI in Software Testing
Digital Testing is the answer when there is a need to cope up with the constantly changing demands and trends in the Quality Engineering (QE) approach. An efficient and easier way to achieve the target is to embrace the smartest way – Artificial Intelligence (AI) that accelerates the time to market drastically. AI-based algorithms, not specifically designed for a definite solution of a distinct problem, are used. It means the machines are capable of learning and utilize data to do the same for different issues.
Conventional methods of software development involve developers or compilers to convert the code originally written in a high-level programming language into machine language to make it easy for the hardware to follow. Using AI, the developers can complete the task of regenerating code to make it intelligible for the hardware and get the work done in a few hours instead of months.
Many organizations in the technology industry are attracted and dependent on artificial intelligence as it makes the work easier and simpler. Software development is not an exception and the software development companies are widely known to embrace AI for its unique features. The combination of AI technologies like advanced machine learning, deep learning, and natural language processing, and business rules can directly influence all the sections in the software development life cycle. AI is capable of upgrading the entire software lifecycle to the next level where AI assistants help from modeling new applications using the right architecture and user experiences to analyzing the business value and impact for the organization.
In the entire SDLC process, AI plays a vital role in testing such as the AI-powered tools for software testing or Quality Assurance. AI is a pivotal element in enabling software development companies to modify software testing into a robust self-driving task with minimal manual intervention.
The main intentions of any QA or testing efforts are to:
- Ensure customer experience and satisfaction
- Early detection of software defects before delivery
- Improve the software quality
- Boost business growth and results
As a pioneer in providing test automation solutions, experts at Aspire Systems have come up with an AI-led unique, end-to-end test strategy called Hyper-Testing. Embedded with the necessary AI components, Hyper-Testing helps to rectify issues and errors while the software is in the development phase. Automated testing process using AI becomes successful only with test automation frameworks like AFTA since they ensure a faster time to market and reduced costs.
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