In the last ten years, Machine Learning (ML) has grown exponentially enabling organizations to unlock transformative use cases. The machine learning market is expected to reach $210 billion by 2030. It’s safe to say that this technology has taken over our day-to-day lives—powering self-driving cars and the intelligent assistants we use in our homes.
Machine learning algorithms are being employed in analyzing vast sums of data to uncover patterns, trends, and actionable insights.
By leveraging advanced techniques to analyze contextual information, machine learning approaches present a massive opportunity to detect unknown and dynamically evolving fraudulent patterns.
While test automation has made the entire process of testing a lot more efficient and fast, the combination of machine learning with test automation takes the quality assurance process to the next level. Right from the point of simplifying test creation to reducing the need for manual test case modifications,…