Rate the Article: AI Enabled Quality Engineering in Insurance, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 11 | Views: 315 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Informative Article | Engineering Science | India | Volume 9 Issue 5, May 2020 | Rating: 5.4 / 10


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


Edition: Volume 9 Issue 5, May 2020,


Pages: 1884 - 1886



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