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Agile transformation requires more than a change in process; it needs a change in mindset. In order to fully embrace agile and create a productive environment, you have to change how you think about priorities and failure. Priorities are decided proactively, not reactively, and failure is not punished, it is celebrated. Once you make this shift in perspective, you can reap the rewards of agile.

A lot of what agile teams do can be used effectively outside software development teams, and even outside the typical business organization. For instance, retrospectives and the practice of talking about what went well, what you should keep doing, and what can be improved can be applied anywhere—even to families. Read on to learn how to bring continuous improvement into your daily life.

How can we apply AI to the testing problems of today? What works and what doesn't work? Are there any critical lessons that have been learned?

You may have heard the saying “The only constant on any project is change.” Yet the prospect of change is rarely welcomed—either personally or professionally.

Everybody wants to have their projects tested so that they can deliver top-notch products to their clients.

Artificial Intelligence (AI) is making it possible for computers to diagnose some medical diseases more accurately than doctors.

Performance issues substantially impact quality, cost, and customer confidence. Agile teams are challenged to build in performance processes throughout the lifecycle, but it is critical to incorporate performance into your CI/CD pipeline.