The use of artificial intelligence (AI) in quality assurance can help businesses ensure that their quality standards are not compromised by streamlining processes.
Quality assurance is a major area of concern for many enterprises spread across various industries. Quality assurance is necessary as it helps businesses meet their clients’ demands, helping build trust with them. Some of the challenges faced by businesses in quality assurance include unrealistic schedules, changing requirements, and timely delivery of a good-quality product. Incorporating AI in quality assurance can help businesses in maintaining their quality standards. No matter what domain your enterprise works in, AI can assist in maintaining the quality assurance needs. Here are three ways AI can help with quality assurance needs:
AI can prove beneficial in ensuring that the work procedures in businesses are streamlined by reducing inefficiencies. Here are a few applications of AI in quality assurance:
AI systems have the potential to revolutionize the software development sector. The regression testing approach will prove to be the most beneficial with AI systems. An AI algorithm can check a previously tested version of software to ensure that it is working properly, after modifications. The AI model can automatically scan the software code and catch errors at a faster pace as compared to humans. Thus, developers can quickly fix errors in the software code. This means that the product can be deployed without any delays or major bugs.
Fake news is on the rise and can cause serious implications. An AI software can verify the authenticity of the news articles published. The AI program can check thousands of webpages to check whether the news article is fact or fiction. Thus, journalists can better utilize their time on other operations and also help agencies maintain the quality of education they are known for. Additionally, AI systems can assist journalists in creating news articles. AI systems are already used by major media agencies such as Bloomberg to automate the process of creating high-quality news articles.
Manufacturers need to focus on quality assurance. Defects in the end-products can result in damaging the brand reputation as well as heavy financial losses. AI systems and IoT devices such as sensors can help detect flaws in the products in the manufacturing stage. These devices are better and quicker at identifying even the smallest defects in the product. Thus, manufacturers can be assured that their quality standards are maintained in each product iteration.
Using AI in quality assurance can help businesses save time, cost, and human resources. he quality of the output is maximized and helps avoid issues that can damage their image. Businesses need to identify the stages in their work procedures that can leverage AI systems.
Using AI in quality assurance can help businesses save time, cost, and human resources. As a resultTherefore, the quality of the output is maximized. Businesses need to identify the stages in their work procedures that can leverage AI systems.
Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.