Validata Blog: Talk AI-powered Testing

Why choose Validata?

Why choose Validata?

Validata describes its product as a ‘continuous quality engineering’ platform. The brain (banking model) of our Real-time Automation Intelligence suite, integrated with AI and deep analytics, are all part of what Validata is calling a ‘central nervous system’ for enterprise testing, enabling teams to expand automation beyond test execution and paving the way to Autonomous Testing.
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The state of software testing:  How AI will transform testing in 2019

The state of software testing: How AI will transform testing in 2019

Success in digital transformation is linked to Continuous Testing and automation has emerged as the disruptor, turning quality from a bottleneck into a competitive advantage for any organization. We are no longer being asked about reducing costs and delivering ROI. Instead, it is all about customer experience and business outcome.
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Top Software Glitches of 2018's first half

Top Software Glitches of 2018's first half

The worst system crashes happen when –and where- you least expect them. The results vary from affecting a company’s brand to even putting in danger people’s lives. Below we are listing some of the top software failures during the first semester of 2018:
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Integrating Continuous Performance Testing into your DevOps process

Integrating Continuous Performance Testing into your DevOps process

In today’s digital world, performance has a huge impact on businesses, and a poorly functioning core banking system slows down user experiences, leading to lost customers and revenue. By incorporating Continuous Performance Testing into your Continuous Delivery pipeline, you get a stable centralized environment that allows fast feedback between teams. That means you are able to identify and fix any issues at early stages, where defects are less expensive to fix, and you deliver ultimate digital experiences to your customers. Keeping applications fast and competitive is essential for any company and it requires substantial investments to be done in the identification and prevention of performance issues.
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Why testing in production?

Why testing in production?

Testing in Production means to perform testing activities in a production state or live environment which is accessible by the end user. As companies move to implement Agile, DevOps or Continuous Integration and Delivery, testing in production tends to become an integral part of the process.

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