We, just like the catalogue companies, are facing technological changes that clearly provide an opportunity. To efficiently accelerate pipeline delivery with high quality data, we believe we must develop a standardized data acquisition strategy with AI/ML-driven quality checking and advanced data analytics. This is very exciting chance for us to improve our performance by leveraging our rapidly advancing science and technology. However, we are seeing risks to our benefitting from these new technological advancements because of our own old routines, processes, and preconceptions. Are we progressing at a pace? In this article we will look deep into the soul of our organization to define where we want to go, identify the anchors, and try to figure out how to break loose from them.
No takes yet. Share an insight, caveat, or question.
Hashio et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: