With 2020 upon us, software development firms seeking to increase their agility are focusing more and more on aligning their testing approach with agile principles. Let’s look at seven of the key agile testing trends that will impact organizations most this year.
The engineering community is beginning to explore the exciting capabilities of AI in order to remove even more mundane and manual tasks from our jobs. Join Geoff Meyer as he provides a framework for organizations to use when considering the application of AI to tasks within their SDLC.
The approaches to testing are continuously evolving as we try to keep up with the application needs of today’s users. Our industry is facing a new paradigm where AI is helping achieve scale, coverage, and business impact for many organizations.
People are actively engaging in civic tech, social robots are tweeting, and veteran storytellers are capturing stories in new ways using virtual and augmented reality. This explosion of tools, sources, voices, and data is indicative of a new, more collaborative era for storytelling.
There are two main challenges to testing systems that incorporate elements of artificial intelligence. First, the same input can trigger different responses as an AI system learns and adapts to new conditions, and second, it is difficult to understand what the correct response really should..