The life sciences industry has always generated enormous amounts of data. In a digital age, data proliferation in life sciences is more vigorous than ever, to the extent that data may be as essential to a company’s value proposition as its pipeline, products, or research and development (R&D).
It is only in more recent years, though, with the emergence of artificial intelligence (AI) and machine learning (ML), that the industry has started to leverage the full potential of its data reserves in the patient’s journey, R&D, manufacturing, and even marketing. However, since a lot of the produced data is unstructured, there is a need for annotation and augmentation services to ensure this data is put to the best use.
Learn more about professional annotation and the optimization of AI and ML in the life sciences space by reading the full whitepaper.
