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Bringing AI in Testing: A CEO’s role in handling this shift

Bringing AI in Testing: A CEO’s role in handling this shift

How CEOs think???

With AI, you can now think the unthinkable.

Development today is at warp speed. Hourly, weekly, monthly releases are the new norms. This demand for rapid pace of development and quality assurance puts an onus on the CEOs and decision makers.

C-suite leaders need to recognise that AI is the essential difference that will help them not only tackle a wide range of challenges but also help them keep their firm competitive, lucrative, and resilient.

Applications are becoming too complex for the traditional testing methods. They are time consuming and lack necessary new-age technological skill sets. Scalability to changing requirements is nil, it’s slow and also incurs high capital costs such as expenditure on hardware, software, maintenance, and hiring the right resources.

Leadership demands vision! What if you could test what you want when you want? What if you could discover defects early on? What if that helped you release new products frequently? And what if you could do this all day, every day!

According to the IBM research survey, over 3,000 CEOs ranked IoT, cloud computing, and AI as the top three technologies expected to help deliver results.

The CEO’s role — Think what AI and innovation bring to the table!

With Artificial Intelligence and Machine Learning technologies, CI/CD modelAgile, and DevOps practices being used by companies across all domains, the push for high-quality product release through rapid release cycles are at an all-time high.

AI can assist leaders in staying one step ahead in the competition and be resilient to market volatility. As a CEO, you need to invest in solutions that help you scale with agility and overcome the typical traditional testing bottlenecks.

Here are the top 5 actions of CEOs that will help them improve testing:

A Right Partner — Testing at Speed with Webomates

Webomates is the key to unlocking the innumerable AI Testing benefits! More and more companies are acknowledging the axiom of AI Testing and are working diligently to reap its benefits.

1. Power your strategic agility with Shift Left Testing

Expecting to develop a ‘zero-defect’ product is over zealous. But expecting to predict a defect/performance glitche and resolve it — that’s totally possible!

Shift–left testing allows you to enjoy the best of both worlds — test your application right from the beginning and also have a high–performing application at the same time. It is a continuous endeavor in collaboration from development and QA teams. By testing early and often, Shift Left Testing mitigates risks and eliminates surprises by moving the testing towards the early stages of application development. The goal here is to test each feature the development team develops and provide quick defect data so that they can fix it.

By rethinking testing and seeing it as something that should occur not only in production environments but also at an earlier stage of the software delivery chain, organizations can ensure ROI of the time and energy that their software delivery teams put in. It helps you get past the roadblocks with which they’ve traditionally struggled as they attempt to embrace the Agile and DevOps practices.Read for More : Bringing AI In Testing

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