HOW CAN NLP IMPACT YOUR BUSINESS ACTIVITIES?
NLP models are suitable to help your business in many ways. One example is from a very topical COVID-19 situation: NLP usage to improve the patient’s life in hospitals by having a vocal assistant that can help with communications between patients and staff. We can add that the health sector has profound specificities (financial, regulatory, organisational), where the concepts of patients and practitioners replace those of consumers and employees are mostly in need of reliability, and it is also essential to consider the highly confidential nature of health data in that case. It is important to remember for your business that this notion of confidentiality depends on geography.
Another area, R&D, by definition, is about innovation & speed to market, and this can be supported in part with NLP models applied to large databases. Indeed, we create text data every day, and models are used to identify unnoticed relationships between certain notions, and it is possible thanks to semantic analysis on large volumes of scientific publications.
Other sources of data are summaries of clinical trials or internal research papers, used to identify new biomarkers and phenotypes or to detect relationships of antibiotic resistance. R&D-driven organisations producing a large mass of textual reports then following a particular terminology use NLP model with these documents to help lessen the time to market of a cure, which is why many laboratories reduce the drafting time, allowing experts to focus on the phase of conclusion and validation of reports.
Simply, whether there is an unstructured text document or structured, there is a path to explore using AI/ML to unearth future development opportunities, unseen relationships, and options to reduce waste by not “repeating the same mistake again”.