Validata Blog: Talk AI-powered Testing

ETL usually involves moving data from one or more sources, making some changes, and then loading it into a new single destination. Traditional ETL platforms have been handling data following this ‘extract, transform and load’ model. That’s pretty straightforward. However, with the explosion of data and cloud adoption, they have been trying to expand their support to new data sources and data types and the cloud or hybrid environments prevalent today.

From a recent survey amongst banks and financial services organisations, testing is considered to be the number one factor that causes delivery delays, with testing costs accounting for approximately 30% of the overall IT budget.

When assessing the impact of Artificial Intelligence (AI) and Machine Learning (ML) on continuous testing and DevOps, there are specific metrics that we could leverage divided in three basic categories - speed, quality and cost.

When people talk about CRM, they are usually referring to a Customer Relationship Management system, a tool that is used for contact management, sales management, productivity, and more. The goal of a CRM system is simple: Improve business relationships.