Validata Blog: Talk AI-powered Testing

Essentials for creating a high-quality test data automation strategy

In the midst of the growing digital demands of customers, organizations are feeling more pressure than ever to modernize their practices and automate their business processes in order to keep up with the competition.

According to Gartner by the end of 2024, 75% of organizations will shift from piloting to operationalizing AI. It may sounds like a risky plan for companies to adopt but in reality they translate technology advantage into competitive advantage within their industry. A plan that goes beyond post-COVID-19 world and can overcome unpredictable market shifts requires an ever-increasing velocity and scale of analysis in terms of processing and access. Embracing technological innovation is no longer just an option. Customer expectations and demand for new digital services are already increasing at a rapid pace.

The norm back in the ‘90s when software started to conquer the business world, was difficult rollouts and having to deal with unreliable upgrades full of defects. Developers had to do also solid manual testing to the software apart from developing it. Outsourced software testing was a more in-depth, progressive version of manual testing that came to cover needs of the market.

Traditional test automation techniques are found to be ineffective in meeting the business demands of rapid application delivery and faster time-to-market.