Validata disrupts testing with the launch of two new cloud-native products – ValidatAI and Validata CRPA

Adding AI capabilities to increase the Temenos testing market lead

London, UK, 28th March 2019 - Validata Group, launches two new products, ValidatAI and Validata CRPA, that further extend its capabilities to test and monitor digital front end and core banking applications, helping organizations innovate faster and deliver amazing customer experiences.

Both new additions under Validata’s digital test automation platform, expand the level of intelligent automation and insights into the customer experience with the modelling and automation of complex upgrades and new implementations of digital banking transformation from the cloud.

The new capabilities include:
ValidatAI: the ‘central nervous system’ behind Validata’s Digital Test Automation Intelligence platform. It will work in a similar way to how the human central nervous system takes information from all our senses and coordinates actions throughout our bodies.

It utilizes machine learning models and advanced algorithms to truly causate and drive to the precise root cause of the issues, classify environment changes from drops and provision environments for various DevOps teams, enabling them to achieve lower development costs and a reduced project impact.

It is able to ingest production, defects and event data, frequent transactions and system load from digital banking systems to provide deep analytics for test coverage and bug hunting, identifying the optimal workflows and testing paths, and the ‘next best actions.’

In doing so, it allows DevOps teams to understand why there are problems with an upgrade or a release, rather than simply receive failure notifications, focusing testing on the parts of the user experience that matter.

It incorporates historical and simulated data as well as an analytics engine to carry out optimization and determine optimal user experience.

It also features a test case generation engine including test data, eliminating the data wait with on demand data access and assisting the user to perform automated tests as and when required, with optimal coverage against business risk. It learns to prioritise the tests for maximum test coverage, finds defects faster and provides continuous feedback back to developers to improve the time to fix, predicting the impact of software delivery.

By identifying problems early that will cause poor digital experience and speed up delivery, it will allow QA and DevOps to transform their approach to testing, providing them AI – generated recommendations and predictive release insights that correct the release policy, enabling them to move from detection to root cause analysis to remediation faster than ever before.

Validata CRPA: Validata’s Cognitive Robotic Process Automation technology powered by AI, removes the need for employees to perform repetitive, time consuming work and enables bots to process that work digitally, with greater speed and accuracy.

It can automate perceptual and judgement-based tasks through the integration of multiple cognitive capabilities including natural language processing, machine learning and speech recognition.

It can automate business processes across multiple platforms and applications, such as digital front and core banking systems like Temenos and customer onboarding systems like Pega, enabling banks to automate and test end-to-end their business processes offering an improved customer experience and operational efficiency and agility in the day-to-day activities.

Through its revolutionary model-driven approach powered by AI, it is able to automate more and provide better testing in less time, empowering teams to get a better result than manual testing and provide better user experience. Imagine delivering for example 24 days’ worth of testing in just 24 hours.

The integration of cognitive technologies and RPA is extending automation to new areas and can help banks become more efficient and agile as they move down the path of becoming fully digital business.

Vaios Vaitsis, Founder and CEO at Validata Group, commented:
“The launch of our new products, delivers on our promise of real, functioning technology and is paving the way to Autonomous Upgrade Testing by removing the need for human intervention in the resolution of recurring defects. Banks have the ability to accelerate their digital transformation journeys, connect systems that were otherwise not connectable and make their QA and DevOps teams happier and more productive.

We are not just running tests; we are redesigning experiences by embedding robotic automation and AI at the heart of every customer interaction to drive real-time change, improve customer experience, and deliver business performance and greater ROI.”


Other key features and capabilities include:
Big Data Testing: Big Data defining characteristics are Volume, Velocity, and Variety. In other words, you have to process an enormous amount of data of various formats at high speed. This data arrives in a variety of formats and is usually unstructured. By using ML and automated ETL testing, the ‘central nervous system’ integrates and analyses this data and produces deep insights to inform business and software development decision-making.

API Integration: You can integrate with anything in the application lifecycle as it has native API integrations with both commercial and open source tools such as Microfocus QC (ex HP QC), Selenium, Appium, Jira etc enabling customers to protect their existing investments and accelerate innovation and time-to-market.

Cloud-native: Our cloud-native approach provides organizations with greater agility, resilience, and portability across cloud environments.

Digital Experience Decision Hub: The ‘single brain’ across all your projects, that can apply real-time AI on every interaction to provide answers with more relevance and additional context. It leverages real-time and historic data to calculate models and trends, which can be easily embedded into action strategies, enriching decisions and uniquely turning your data into actions.

All these new capabilities are expected to enable banks to reduce development costs by 25%, reduce scripting efforts by over 95% and accelerate and re-risk Temenos core banking implementations and upgrade projects, by ensuring amazing customer experience, achieve faster time to value and linking testing to business outcomes.

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