AI Enabled Quality Engineering in Insurance

Rahul Deb Chakladar

Abstract: The demand for high - quality products and services delivered at digital speed continues to push insurers to rethink their quality assurance and testing methods. With customer expectations changing quickly in a fiercely competitive market, insurers find it challenging to maintain frequent releases and enhancement processes while delivering personalized coverage. Quality engineering (QE) becomes essential in this scenario. QE involves adopting a comprehensive quality assurance and testing strategy with a strong focus on extreme automation. This approach helps insurers boost testing efficiency, speed up time - to - market, and offer a flawless customer experience. By integrating cognitive technologies such as artificial intelligence (AI) and machine learning (ML) into their QE practices, insurers can enhance business outcomes and achieve a competitive advantage.

Keywords: Quality Engineering (QE), Digital transformation strategy, Advanced analytics, Innovation, Testing

How to Cite?: Rahul Deb Chakladar, "AI Enabled Quality Engineering in Insurance", Volume 9 Issue 5, May 2020, International Journal of Science and Research (IJSR), Pages: 1884-1886, https://www.ijsr.net/getabstract.php?paperid=SR24810084605, DOI: https://dx.doi.org/10.21275/SR24810084605