How AI and ML Can Accelerate Software Dev and Testing

AI and ML can complement and enhance existing Agile processes and contribute to higher software quality

With the growing complexity in apps and the reduction in time dev and testers have within the sprints, intelligence can accelerate software quality

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver better software faster. In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged.