Challenge
The life sciences industry is facing multiple challenges due to data silos and the absence of a centralized information repository. From selecting the right site and carrying out real-time monitoring to analyzing fragmented data and applying predictive analytics for trial-specific use cases, organizations are unable to realize value and insights from the current process. A solution that leverages AI and ML to enable faster study start-ups and achieve targeted study interventions is the need of the hour.