October 2023 – Today we are pleased to announce the launch of the new AI Digital Automation Tester, Annie, embedded in the ValidataSense.ai platform aimed to transform the way you do your Temenos testing both in the cloud and on-premise.
Validata has already established itself as a leader in the Temenos market, recognized for its award-winning platform, a ‘super app’ that helps to streamline your testing process from requirements modelling to automated test case design, test data management, real-time defect identification and prediction and AI-driven real-time analytics to help you take informed decisions for your project.
Annie acts as the ‘central nervous system’, leveraging machine learning algorithms and AI features to accurately extract, validate and analyse historical data that are trapped in unstructured documents such as Temenos Transact logs and execution logs, and automatically generates end-to-end test workflows with ‘fit for purpose’ test data, without any human intervention, covering a wider range of end-user journeys, and provides real-time suggestions on the optimal testing paths, and the ‘next best steps’ for maximum coverage against business risk.
It is able to automate more and provide better testing in less time, delivering 24 days’ worth of testing in just 24 hours!
The continuous learning and self-healing features, ensure that your testing is not only more efficient but also continuously improving.
This results in several business benefits:
Enhanced Efficiency and Productivity: Reduces the manual effort required for test scripting and test data provisioning, enabling testing teams to test more in less time. This translates to faster testing cycles and quicker project turnaround times.
Improved Decision-Making: By providing data-driven insights and recommendations, Annie supports better decision-making throughout the project lifecycle. This leads to more informed decisions that can positively impact project outcomes.
Cost Reduction: It reduces the costs associated with the testing effort by as much as 60%
Effective Resource Optimisation: Frees resources from manual, repetitive tasks and allows them to focus on high-value activities.
Increased Test Coverage: By generating a wide range of test scenarios, covering not only the ‘happy paths’, it can help discover bugs faster and earlier.
Annie acts as the ‘central nervous system’, leveraging machine learning algorithms and AI features to accurately extract, validate and analyse historical data that are trapped in unstructured documents such as Temenos Transact logs and execution logs, and automatically generates end-to-end test workflows with ‘fit for purpose’ test data, without any human intervention, covering a wider range of end-user journeys, and provides real-time suggestions on the optimal testing paths, and the ‘next best steps’ for maximum coverage against business risk.
It is able to automate more and provide better testing in less time, delivering 24 days’ worth of testing in just 24 hours!
The continuous learning and self-healing features, ensure that your testing is not only more efficient but also continuously improving.
This results in several business benefits:
Enhanced Efficiency and Productivity: Reduces the manual effort required for test scripting and test data provisioning, enabling testing teams to test more in less time. This translates to faster testing cycles and quicker project turnaround times.
Improved Decision-Making: By providing data-driven insights and recommendations, Annie supports better decision-making throughout the project lifecycle. This leads to more informed decisions that can positively impact project outcomes.
Cost Reduction: It reduces the costs associated with the testing effort by as much as 60%
Effective Resource Optimisation: Frees resources from manual, repetitive tasks and allows them to focus on high-value activities.
Increased Test Coverage: By generating a wide range of test scenarios, covering not only the ‘happy paths’, it can help discover bugs faster and earlier.