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Intelligent Analytics with AI testing
Product lifecycle and quality fluctuations In the world of agile development, maintaining high levels of quality can become a major headache, due to its incremental and iterative approach. There are times when a time crunch may lead to certain compromises... READ MORE
Challenges in AI Testing
The term artificial intelligence was coined in the year 1956 at a conference at Dartmouth College, New Hampshire. Since then AI has seen certain ebbs, aka AI winters. It has been around for decades, slowly evolving. The recent surge in... READ MORE
Benefits of Intelligent Automation
Artificial Intelligence is a technique that enables a computer system to exhibit cognitive abilities and emulate human behavior based on pattern recognition, analysis, and learning derived from available data with the aid of predetermined rules and algorithms. Machine learning and... READ MORE
Busting Automation Myths
History, as we know it, is riddled with myths and legends. Over the years, many of them were debunked by science or for the lack of substantial evidence. In a similar fashion software testing has evolved over decades. Every new... READ MORE
Artificial Intelligence and QA: Hype From Reality
Artificial Intelligence (AI) is at the peak of inflated expectations in the Hype Cycle.  There is a law called Amara’s law that states “We tend to overestimate the effect of a technology in the short run and underestimate the effect in... READ MORE
Importance of Artificial Intelligence Software Testing Tool
Software testing is an imperative step in the Software Development Life Cycle (SDLC) that guarantees customer satisfaction - the only premeditated way in test automation where an application can be observed under certain conditions. The testers then try to identify... READ MORE

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