Machine learning (ML) powers everything from autonomous cars to search to stock trading. You would be hard pressed to find an industry not making use of ML – and software testing is no exception. Over the past decade, there have been major advancements in computing and data availability, which in turn have led to breakthroughs in ML algorithms and infrastructure.

Today we have the right resources, technologies, and skills that enable any organization to implement ML. It is not a question of if ML will impact how we develop, test, and release software, but a question of when and how.

Read this white paper to learn:

• How to identify areas of opportunity for ML
• The potential impact of ML on your company culture
• How to get started with ML
• Build or buy: How to select the right solution