Fierce Pharma Webinar
RAG Reimagined: Breaking the Chatbot Mirage in Healthcare & Life Sciences
Watch our on-demand panel with life sciences and healthcare leaders as they share what it takes to move GenAI from demos to production. Learn why tensors, ranking, and multimodal search are critical for building scalable, regulated AI applications.
Fierce Pharma Webinar: RAG Reimagined: Breaking the Chatbot Mirage in Healthcare & Life Sciences
From Chatbots to Context Engines
Search is the new foundation for intelligence.
Most enterprises now have an LLM strategy. The challenge? Turning demos into production systems that scale safely and meaningfully.
Vespa Introduction
How can Life Sciences learn from tech-first leaders like Perplexity and Spotify, while staying compliant?
Drug Discovery as a Search Challenge
With molecule and protein spaces spanning 10⁴⁰ to 10⁷⁰ possible combinations, drug discovery becomes an exercise in intelligent retrieval — sifting through an astronomical search space that’s literally larger than the number of atoms in the known universe.
Reframing as a search and retrieval problem
Scaling AI Without Losing Trust
The focus now shifts to the other end of lifesciences, namely Commercial & Marketing. The data is not multi-modal like R&D but is multifarious in terms of the avalanche of brand documents they deal with. The question therefore was about understanding where in this workflow do the concepts like “Personalization” and “Relevancy” make sense?
Lifesciences use cases where personalization and retrieval contextualization are key
Context Is Everything
the richest insights in healthcare lie at the intersection of structured, unstructured, and imaging data.
“Language alone can’t delineate disease — the signal lives in the images and the relationships between data types.”
Where can providers take inspiration from life sciences research in innovation?