In a digital-first economy, Quality Engineering (QE) is no longer a downstream technical activity—it is a critical business capability that directly impacts release velocity, risk management, and customer experience. As enterprises move toward continuous delivery with frequent, parallel releases, traditional testing approaches have become a major constraint on scale and speed.

As software development accelerates, traditional Quality Engineering (QE) methods are evolving—driven by the transformative power of Artificial Intelligence (AI). AI-led QE redefines how organizations ensure software quality by shifting the focus from reactive testing to proactive, predictive, and continuous quality assurance. At the heart of this evolution is Quality by Design (QbD)—a principle

Challenges with traditional automation:

This is the age of businesses going global by going online and attracting a larger potential customer base. Today's retail giants have been compelled to follow their customers across the internet, and hence must operate through online channels rather than traditional retail outlets. This, together with the arrival of mobile technology, has resulted in a multi-fold increase in the IT

With an increase in emerging technologies and the constant shift towards Agile and DevOps, the importance of Quality Engineering increases. Yet, the term is shrouded with confusion. Quality Engineering is the process of testing, analyzing, and improving software quality throughout the application development lifecycle. The process is a lot different than QA testing that is usually initiated at

Software testing is a crucial part of the app development life cycle. There is no way an application can be rolled out to the end-users without thoroughly testing all of its features and functionalities. As important as QA testing is, it is also undeniable that it is extremely repetitive and time-consuming. Manual testing procedures require teams to develop multiple test cases to test every

In the tech-driven world, customers’ expectations are changing dramatically. To keep ahead of the competition, organizations must be agile enough to respond ceaselessly across all the channels to these ever-increasing expectations, that are often driven by an individual’s experience in using technology in everyday life.

Innominds supported over 9 releases of a global digital workforce management product. Our testing team performed comprehensive Quality Engineering (QE) with testing process automation for successful releases.

While next-gen innovations such as virtual reality, the Internet of Things (IoT), and AI-enabled automated cars are driving the next paradigm shift, 5G is all set to provide the exponential improvement in bandwidth and latency reduction to power these advancements.

Adapting to changing consumer requirements is a primary goal for any organization to sell better and progress in managing their business from the sales point of view. When a business fails to recognize the customer’s choice and preferences, catering to the relevant market becomes more and more of a stressful scenario.