GenAI in life science
Explore the realistic applications of AI, significant reduced manual workload and lead times while minimizing errors.
Delaware engineered an automated content‑labelling solution for a global pharmaceutical company facing high costs and long lead times in tagging brand‑specific marketing content. The solution architecture combined Azure Databricks, MLflow, Azure OpenAI, and other Azure AI services to process and interpret diverse document types and generate accurate labels.
- Date: 17 June 2026
- Time: 12h30-13h30 CET
- Format: Keynote speaker + interactive Q&A & discussion
Register now (free of charge) and join your peers in exploring the future of Artificial Intelligence.
A Microsoft Teams invite will be send about 1 day before the event to all registered persons.
The Knowledge Café will include a Q&A session, please enter your question(s) during the registration or via MS Teams Chat during the call.
Event Properties
| Event Date | 17-Jun-2026 12.30 |
| Event End Date | 17-Jun-2026 13.30 |
| Capacity | 60 |
| Registered | 9 |
| Individual Price | Free |
| Location | Online - Teams |
Agendas
| 12:30 |
GenAI in life scienceDelaware engineered an automated content‑labelling solution for a global pharmaceutical company facing high costs and long lead times in tagging brand‑specific marketing content. The solution architecture combined Azure Databricks, MLflow, Azure OpenAI, and other Azure AI services to process and interpret diverse document types and generate accurate labels. |
Speakers
Benjamin Huyghe
Data & AI Consultant