In today's fast-paced business world, companies are constantly vying for a larger share of the market. One key aspect that can set you apart from the competition is having a quality engineering team that works seamlessly with development and business teams to ensure that your products are user-friendly and easy to navigate. But what if you could take it one step further? Imagine having the ability to gain in-depth insights into how your customers are truly using your products. By understanding which features are most commonly accessed and which devices are being used, you can make sure that you're focusing on the areas that truly matter to your end-users. Additionally, by analyzing feedback from social media and app stores, you can pinpoint pain points and address them accordingly. This is where production feedback analysis comes into play. It gives you the valuable insights you need to refine your testing strategy and ultimately create products that truly meet the needs of your customers.

Continuously monitoring of application quality in production with a purpose of continuous improvement and reduce production support cost. The approach is to collect the data from sources such as social media, app store, and production ticketing solutions. The objective is to analyze the data to provide insights into key quality parameters such as functional performance, security, and usability. The approach helps to holistic view of the application and helps in providing alerts to the development and test teams proactively.

Every enterprise spends a considerable amount of automation budget to maintain the automation scripts. The maintenance activities are due to changes the workflow, User Interface or due to automation script defects. The talk is about a solution that will help you to automatically maintain test automation assets by continuous Inspection on the quality and status of test automation assets an automate remediation of issues that minimizes upkeep cost. The solution uses Artificial intelligence and machine learning techniques and can be easily integrated with a Selenium based automation framework.