Newly Released Program Focuses on Value Creation from Real-World Projects in Finance, Healthcare, Recruiting, Marketing, Life Science, and Education
John Snow Labs, the AI for healthcare company, today announced the program for the fifth annual NLP Summit, , taking place virtually September 24-26. The free conference, which attracted over 10,000 attendees last year, is the world’s largest gathering of the applied Generative AI and natural language processing (NLP) community.
Despite being a landmark year for Generative AI, few are capitalizing on its promised business value. This year’s agenda includes more than 50 technical sessions, covering cutting-edge applications that make a real impact. The program covers solution architectures, lessons learned, and trending open-source libraries, including the following keynote sessions:
- The Age of Synthetic Data and Small LLMs – Loubha Ben Alla, Hugging Face
- Multi-Agent Based Agentic Workflow in Healthcare – Sanjay Basu, Oracle
- Deconstructing Graph RAG: An Overview of Concepts and Methodologies – Prashanth Rao, Kuzo
- Applying Healthcare-Specific LLMs to Build Oncology Patient Timelines and Recommend Clinical Guidelines – Vishakha Sharma, Roche
- Identifying and Mitigating Bias in AI Models for Recruiting – Katie Bakewell, NLPLogic and Jason Safley, Opptly
- Quantizing Large Language Models – Supriya Raman, JPMorgan Chase
- Automating Systematic Reviews of Academic Research – Dia Trambitas, John Snow Labs
- Quantizing Large Language Models – Supriya Raman, JPMorgan Chase
- Automating Systematic Reviews of Academic Research – Dia Trambitas, John Snow Labs
- Pedagogical and Strategic Utility of Large Language Models – Michelle Banawan, Asian Institute of Management
- Enhancing Marketing Campaigns with NLP: Data-Driven Decision Making in Consumer Analytics – Saurabh Kumar, The Kraft Heinz Company
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FAQ
Who is speaking at the Fifth Annual NLP Summit and what are the key themes?
The lineup includes John Snow Labs leaders David Talby, Veysel Kocaman, and Dia Trambitas; as well as experts from Oracle Health AI, Google DeepMind, Cigna Evernorth, Guardrails AI, and others. Sessions explore LLMs, visual language models, reasoning systems, agentic AI, bias testing, governance, and audio deepfake detection.
How many sessions and days does the Healthcare NLP Summit span?
The free virtual event spans two days across more than 30 expert sessions, covering topics from frontier LLMs to safe AI deployment and governance.
What audience and use cases does the NLP Summit target?
It caters to practitioners in healthcare and life sciences, with deep dives into real-world use cases like patient engagement, clinical coding, adverse event detection, and data abstraction.
How large is the community attending the annual NLP Summit?
The summit is the largest applied NLP/Generative AI gathering—attracting over 10,000 attendees annually from healthcare, finance, marketing, and beyond.
What makes this summit distinct from other AI conferences?
It emphasizes applied use cases and practical takeaways over theoretical research. It’s focused on value delivery in real-world contexts like healthcare and finance, with hands‑on sessions and governance best practices.