For businesses and developers that need to comprehensively test applications, a significant amount of realistic, representative, and high-quality test data is required, fast. Testers regularly waste up to fifteen hours a week manually creating and finding test data, with many teams neglecting to apply masking techniques, putting them at risk of breaching data privacy laws. […]| TechBullion
In the complex world of pharmaceutical development, clinical trials represent both a critical opportunity and a significant challenge. The site selection process, crucial for trial success, has traditionally relied on experience-based decisions, leading to inefficiencies, delays, and escalating costs. However, a groundbreaking integration of Artificial Intelligence (AI), Large Language Models (LLMs), and Master Data Management […]| TechBullion