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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