artificial intelligence
Articles
 |
A Tester's Role in AIOps “AIOps” stands for “artificial intelligence in IT operations,” or using machine learning and data science to solve IT problems. AI can help with many IT functions, including detecting and remediating outages, monitoring availability and performance, and IT service management. Like with DevOps, a tester plays an important part with AIOps—they just have to determine what that is. |
Interviews
 |
How Machines Will Impact the Way You Test Software: An Interview with Geoff Meyer In this interview, Geoff Meyer, a test architect in the Dell EMC infrastructure solutions group, discusses whether or not testers should be nervous about artificial intelligence, what testers can do right now to keep up with the times, and when AI is most useful for software teams. |
Conference Presentations
 |
What’s Our Job When the Machines Do Testing?
Slideshow
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. |
Geoff Meyer
|
 |
Smart Testing with AI Using Data Mining
Slideshow
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. |
Lorna Smyth
|
 |
Storytelling in the Age of AI
Slideshow
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. |
Davar Ardalan
|
 |
Improve Testing of AI Systems with "Grey-Box" Testing Technique
Slideshow
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.. |
Yury Makedonov
|
Recommended Web Seminars
Featured Resources
Visit Our Other Communities
CMCrossroads is a TechWell community.
Through conferences, training, consulting, and online resources, TechWell helps you develop and deliver great software every day.