Webinar: Spur key pharma insights with NLP and anonymization services

How NLP and anonymization support safe, effective decision-making from unstructured text

Extracting the value from unstructured data and addressing privacy concerns are common challenges organizations face when trying to glean insights from data. Advancements in artificial intelligence and machine learning (AIML) have led to natural language processing (NLP) and anonymization capabilities that overcome these challenges and empower organizations to safely innovate with data. By efficiently extracting the information in unstructured data in a privacy-preserving way, organizations can uncover valuable insights and support better decision making across the drug development life-cycle.