Artificial Intelligence in Test Automation – The Next Frontier

Categories: AI and MLTesting and QATechnology

Robust open-source frameworks and DevOps integrations have brought us a long way from the early days of QA testing with clunky tools. And just as we’ve transitioned from Waterfall to agile models, our testing needs to keep pace at every stage of development.

Automation helps, but identifying use case scenarios and keeping up with the coding requirements can be cumbersome. In this paper, you’ll learn innovative ways to solve the challenges of automation testing using artificial intelligence and machine learning.

Authors

4aa901e7ab8295f07139911c8bed1ae6?s=256&d=mm&r=g

Author

Parvendra Singh

View all Articles

Casual-Photo-Prageet-Pathak-scaled

Author

Prageet Pathak

Senior Consultant

View all Articles

Top Insights

Innovators and Laggards: The Technology Landscape of 2019

Innovators and Laggards: The Technology Landscape of 2019

Digital TransformationPerspectiveAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMediaTechnology

Top Authors

Yuriy Yuzifovich

Yuriy Yuzifovich

Chief Technology Officer, AI

Richard Lett

Richard Lett

VP of Healthcare Technology

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Mark Norkin

Mark Norkin

Consultant, Engineering

Blog Categories

  • URL copied!