Intelligent Automation – The Smarter Way to Quality

Deepak Parmar
April 5, 2018

“When digital transformation is done right, it’s like a caterpillar turning into a butterfly, but when done wrong, all you have is a really fast caterpillar.”
George Westerman, Principal Research Scientist with the MIT Sloan Initiative on the Digital Economy

Successful digital transformation needs continuous innovation. This means rethinking business capabilities and radically challenging the status quo to deliver quality at speed. To this end, enterprises have made Agile practices central to their digital initiatives.

However, one common theme across many organizations who have fast-tracked using digital is that either they are stuck at manual practices or partial adoption of automation.

While businesses have embraced automation for CI/CD in the context of DevOps, they are yet to see the full benefits of automation. Gartner’s recently published a report on ‘Critical Capabilities for Software Test Automation 2018, highlights some key research in this context.

“Continuous delivery practices rely on fully automated delivery pipelines that include testing,” and “Software test automation tools are evolving beyond core capabilities to support automated test-case generation, emerging AI-driven test-set optimization and intelligent test maintenance.”

Leveraging Automation Intelligently to Drive Business Value

This is where the evolution of test automation comes in. With Intelligent Automation, driven by Artificial Intelligence and Machine Learning, you take your test management capabilities and release speed to a whole new level. Where automation has made it possible to generate high volumes of test data across toolchains and CI/CD jobs, it is humanly impossible to wade through such vast amount of data and take informed decisions.

However, with intelligent testing, you can mine through the data collected across tools, combine this wisdom with automation and analytics to reveal insights, predictions and recommendations. With this continuous loop of machine learning, you can feed data continuously into your automation suite and use the prescription and analytics to test smarter and faster.

Whether it is improving coverage or traceability, removing duplicates or focus on more critical areas when testing, it brings efficiency and speed to your release candidates.

But, what should you focus on to shorten your sprints? What is the overall success of your automation suite? How can you use intelligent automation to increase software quality and deliver business value?

We will answer these and many other relevant questions in our webinar ‘Intelligent Automation to Increase Software Quality and Business Value’ on April 12th. Our presenter Sivakumar Anna will show how to increase the potential of your business with software quality using continuous feedback and prescriptive improvements. In the webinar you will also learn how you can use software quality to develop trust through digital touchpoints and foster customer loyalty.

And here’s the link to register for this event. See you there!

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