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Event Date |
Tue Apr 2 UTC - Wed Apr 3 UTC (9 months ago)
In your timezone (EST): Mon Apr 1 8:00pm - Tue Apr 2 8:00pm |
Location | Virtual |
Region | All |
Join the world’s largest applied NLP community at the virtual event! Two days of immersive content, focusing on generative AI and natural language processing applications in healthcare and life sciences. Now in its fourth year, this evnet will feature.
30+ keynotes and expert sessions showcasing LLM & NLP best practices, real-world use cases, challenges in applying these technologies in practice – and the latest open-source libraries, models & tools you can use today. Join live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event.
The second week will feature beginner to advanced live training workshops and certifications. Learn, share, and apply best practices for putting AI to good use!
The summit is the gathering place for those putting state-of-the-art natural language processing to good use. This third edition of the virtual conference showcases NLP best practices, real-world case studies, challenges in applying deep learning & transfer learning in practice – and the latest open source libraries, models & transformers you can use today.
Topics covered
• Information extraction from natural language documents
• Clinical natural language understanding
• Applying large language models in healthcare
• Building knowledge graphs from large document repositories
• RAG LLM tools, applications, and best practices
• Multi-modal AI in medicine
• Responsible AI tools & benchmarks
• Compute and cost-efficient scaling of LLM
• Natural language queries on full patient histories
• Multi-lingual AI models and applications
• Synthetic data generation
• Human-in-the-loop systems
• Ethical issues in natural language processing
• Speech-to-text models and applications
• De-identification of sensitive data
• MLOps, DataOps, and LLMOps
• Techniques & benchmarks for tuning healthcare-specific LLMs
2024 Speakers
Jacob Wilson
GenAI Commercial CTO at PwC
Corinne Stroum
Director, Consumer Experience & Insights at SCAN Health Plan
David Talby
CTO at John Snow Labs
Thomas Kranzkowski
AI Cloud Engineering Consultant at CLOUDETEER
Ofer Mendelevitch
Head of Developer Relations at Vectara
Dusan Milovanovic
Readiness Intelligence Consultant at WHO
Akhaina Mahamat
Medical interpreter at Liv Hospital
Ali Lazim
CEO at Medixbot
Carlos Rodriguez
GenAI & NLP Practice Lead at Fujitsu
Zain Hasan
Senior ML Dev Advocate at Weaviate
Zarmeen Nasim
Senior Instructor at Aga Khan University
Jason Hotchkiss
Psychologist, Professor at Cornerstone University
Philip Ballentine
Sr Director, Data Engineering at Atropos Health
Sagar Goyal
Senior NLP Engineer at DeepScribe Inc.
Davit Shahnazaryan
Head of Research at Amaros AI, Lecturer at YSU
Leo Janze
Sr. Director of Data Engineering at Optum
Moshe Wasserblat
NLP Research manager at Intel
Sonali Tamhankar
Sr. Clinical Data Scientist at Fred Hutchinson Cancer Center
Sam Schifman
Principal Architect for Innovation at Availity
Chen Shani
Postdoc at Stanford
Ryan Tan
Consultant at National Cancer Centre Singapore
Daniel Koppers
Head of R&D at PhlexGlobal, a Cencora Company
Nahid Zeinali
Research assistant at University of Iowa
William Wagner
Sr. Product Manager at Blue Cross
Darrell Hall
CEO/Data Scientist at EDM Health Services, LLC
Amani Namboori
Applied Scientist at Amazon
Robert Korom
Chief Medical Officer at Penda Health
Ghulam Rasool
Assistant Professor at Moffitt Cancer Center
Hoifung Poon
General Manager, Microsoft Health Futures
Alice Chung
Sr. Analytics Manager at Genentech
Yinxi Zhang
Staff Data Scientist at Databricks
Yanshan Wang
Vice Chair of Research and Assistant Professor in Health Informatics, University of Pittsburgh
Christian Debes
Co-Founder, Head of Data Analytics & AI at Spryfox GmbH