2 minute read time

Will AI and ML in Quality Engineering replace humans?

by Micro Focus Employee in Welcome

Article by David Parker, Strategic Alliances Executive, Micro Focus

We recently launched a new podcast series delivered by experts from Capgemini and Micro Focus to explore innovations in the realm of quality engineering. This first of this series is led by Mary-Ellen Harn of Capgemini, who facilitates a very insightful conversation with Eran Bachar, product manager for functional testing at Micro Focus and Nick Utley, transformation leader at Capgemini. In this podcast, Eran and Nick explore the ascent of AI and ML in test engineering, why testers or users should not fear it, and answer the age-old question of whether human quality assurance professionals can be replaced by machines. I invite you to listen to this first episode in our podcast series:

Human vs. AI in Quality Engineering (21 min) 

In listening to this podcast, hopefully you’ll get a sense for how modern AI in testing has fundamentally changed the landscape of quality engineering, all without imposing additional burdens on quality engineering professionals. In fact, QE professionals can generally use the tools that are already in place, and simply apply the value of AI and ML on top of them.  So, take a listen. You won’t be disappointed. And drop me a line of you have comments or feedback.  We’d love to hear from you! 



P.S. Stay tuned for future podcasts 

About us: 

Micro Focus and Capgemini have been strategic partners for years deliver cutting edge IT solutions to global enterprises in a variety of realms including quality engineering and AI.  Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. Micro Focus is one of the world’s largest enterprise software providers. Together, we help enterprises build and deliver world-class applications to meet their business needs and delight their customers.