Continuing our blog series on the challenges of traditional test automation, we come to realise that the applications we were test ten or twenty years ago are not the same anymore.

Over the last two decades, there are many companies that have never been able to achieve the desired business results from their automation initiatives. Traditional test automation techniques are found to be ineffective in meeting the business demands of rapid application delivery and faster time-to-market.

With DevOps and Continuous Delivery, releasing with both speed and confidence, requires having immediate feedback on the business risks associated with a software release candidate.

Imagine people logging on their bank account and presented not with their own bank accounts but with those of completely different customers. Imagine people seeing their life savings suddenly missing from their account. This is what happened in April 2018, when a series of outages led to the meltdown of TSB’s online banking system, costing the bank £366 million in ‘post-migration charges’ and a big loss of customers. A bill of £153 million was sent to Sabis, the bank’s IT provider, for its role in the crisis. The overall cost of the software failure could increase further if fines are subsequently imposed by regulators.

In today’s digital era, banks and financial institutions need to implement continuous intelligent testing solutions to succeed in their digital transformation initiatives, mobile technology integration and modernisation of their core systems.

Artificial Intelligence has gradually made its way into every industry and is shaping the future. As we now live in the era of digital transformation, testing needs to be transformed to keep up with the latest trends and inevitably move towards greater automation. The future of automation is Artificial Intelligence (AI) and Machine Learning (ML).

With the adoption and spread of digital technology, software testing helps different organizations stay competitive and shows exponential growth during the last four years. While not every institution will be impacted equally by fast-changing technology, IT undoubtedly plays a significant role in all industries. In this article we emphasize in the eight most important tech trends that banks and financial services organisations will continue to experience within 2020:

Without a fast and trusted way to detect change impacts, upgrading your Temenos application or optimizing processes can expose the business to significant risks. There are still a lot of banks relying on manual testing or traditional testing frameworks to verify and validate changes in their critical business processes.

Traditional test automation tools have achieved little in terms of automation, keeping automation levels below 25% even after years of software testing. These tools were built more than a decade ago – some even more- to cover a limited set of technologies and the Waterfall Methodology, and are ineffective to meet the business demands of faster application delivery and faster time-to-market. In addition, businesses, are increasingly adopting Agile and Continuous Delivery, which introduces a new set of challenges.

With Validata Sense.ai we have extended our Analytics functionality so clients are now able to centrally analyse and monitor their testing efforts and progress leveraging AI and machine learning.