How Can Pharma Leverage Smart Digital Lab Assistants Beyond Voice-To-Text Transcription?
Recent advances in Natural Language Processing (NLP) and Artificial Intelligence have facilitated the process of speech-to-text transcription and offer the opportunity to capture data through voice while working in the lab.
However, NLP can be leveraged beyond transcription to recognize some specific words or intends and automatically execute corresponding actions.
Pharma scientists spend a lot of time processing data at the end of the day and have a hard time finding relevant information from lab databases while running their experiment in the lab.
Join this live interview of Senior Data Scientist Sven Ballentin, developing a smart digital lab assistant for scientists, to discover how Pharmas can streamline data processing and enable easy data access by leveraging the smart processes of a voice-powered digital lab assistant.
This live interview will be followed by a Q&A session to answer questions from the audience.
Key Learning Objectives
- How Pharmas can benefit from NLP at the bench
- Which smart processes can be embedded in a digital lab assistant
- How digital lab assistants increase the FAIRification of the data
- What are the current use-cases in Pharma organizations for smart digital lab assistants
