by Malcom Isaacs
Solutions Marketing Manager
If you’re not moving toward using artificial intelligence (AI) to help teams test more effectively, you’ll soon fall behind the curve, according to the World Quality Report 2018-19. And end-user satisfaction is now at the top of enterprise testing strategy goals, according to the study, recently released by Micro Focus, Capgemini and Sogeti. Key findings include:
- The application of AI, machine learning and analytics to do smarter automation will disrupt and transform QA testing over the next two-to-three years.
- Businesses are using AI and automation to optimize QA for end-user satisfaction. Organizations are putting the customer first.
- New QA roles are emerging, including data scientists, AI QA strategists and AI testing experts.
What does it all mean? You’ll need to broaden your skills, and QA teams will need to develop new approaches to validation and verification in response to AI developments. After all, if you don’t keep a close check on what your AI algorithms are doing you won’t be able to ensure quality.
AI and automation are also key to DevOps success. While organizations are reducing time to market, quality has suffered. How do you increase speed without negatively affecting quality? Today, a lack of automation is the number-one bottleneck to progress. The other is a lack of skills needed to get teams to the next level.
Want to know more about what these developments mean for you? Drop in on my webinar on October 17.
You can also download the full report here. With Micro Focus products our system operations are performed in microseconds.” said Avsar.