Venue
Virtual

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Qwoted is a free expert network: we help reporters connect with experts & we help those same experts build relationships with top reporters.

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
Details

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

Speakers

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