Organizations are moving rapidly into mobile technology, which has significantly increased the demand for testing of mobile applications. David Dangs says testers naturally are turning to automation to help ease the workload, increase potential test coverage, and improve testing efficiency.

Becoming a DevOps shop isn’t just about hiring DevOps engineers and implementing a new toolset. It’s about changing the culture of your organization. Patrick Turner believes that your focus for DevOps should be to bring a cultural shift throughout the organization—up to the business team...

Agile practices, although applicable to a variety of situations, are most commonly applied to IT projects, generally for software development. Can you apply agile methods to just part of a software implementation project? Todd Jones presents this case study where agile techniques were...

After its highly hyped introduction decades ago and followed by a long, quiet “winter,” artificial intelligence (AI) has slowly crept back into our consciousness. While our Siri and Alexa assistants entertain us, machine learning (ML) has brought new conveniences into our lives with solutions including Nest and Netflix. Today, AI brings us to the tantalizing brink of the autonomous vehicle. The sea change of this 4th Industrial Revolution has begun to disrupt industry after industry. The emerging capabilities of these fascinating machines demand our attention as AI starts to be applied in ways that directly affect our workplaces. And the test community will not be immune. Geoff Meyer explores industry-wide applications of analytics and machine learning to testing, and shares an in-depth view into how this next generation of automation is being used to optimize test and IT operations.