Applied Generative AI and Language Processing
Join the world’s largest Applied NLP, LLM, and Generative AI community at this fifth edition of the NLP Summit! Three days of immersive content including over 50 technical sessions, with focus days on open source, healthcare and finance. Attend 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 with certifications. Learn, share, and apply best practices for putting AI to good use!
Past Speakers


Krishnaram Kenthapadi
Chief Scientist, Clinical AI at Oracle Health AI


David Talby
CTO
at John Snow Labs


Shreya Rajpal
Co-Founder & CEO at Guardrails AI


Yishay Carmiel
Founder & CEO at Meaning


Robert Nishihara
CEO & C0-Founder at Anyscale


Veysel Kocaman
Head of Data Science
at John Snow Labs


Abha Godse
Supervisor, AI & RPA at West Virginia University


Prashanth Rao
AI Engineer at Kùzu, Inc.


Dia Trambitas
Head of Product
at John Snow Labs


Petros Zerfos
Scientist & Manager at IBM Research Principal Research


Saurabh Kumar
Senior Manager, Data Science, Formerly Meta


Sanjay Basu
Senior Director at Oracle


Alain Biem
Chief Data Science Officer at New York Life


Maziyar Panahi
Principal AI Engineer & Team Lead at John Snow Labs


Supriya Raman
Senior Vice President, MLOps
at JPMorgan Chase & Co.


Arasu Narayan
Sr.Principal Data Scientist at Oracle Inc


Nicolay Rusnachenko
Research Fellow at Bournemouth University


Denis Chernenko
CEO at NLSQL


Varun Nakra
VP, Credit Risk at Deutsche Bank


Kylie Li
Senior Data Scientist at Salesforce


Antonio Ponte
Global Deposits & Investment Product Manager at Citi


Yee Ang
Consultant
at National Healthcare Group


Ross Bierbryer
Head of Engineering at Dandelion Health


Katie Bakewell
Data Science Solutions Architect at NLP Logix


Anand Padia
Global Head & AVP, GenAI and Program Management at Trigent Software, Inc.


Natesh Babu Arunachalam
Director of Data Science at Mastercard


Malte Pietsch
Co-Founder at Deepset


Michelle Banawan
Academic Program Director
at Asian Institute of Management


Leann Chen
Generative AI Developer Advocate at Diffbot


Jason Safley
CTO at Opptly


Altaf Rehmani
Global Digital and Automation Lead at HSBC Commercial Banking


Mark Andersen, Ph.D., CFA
VP, Machine Learning & Data Science at Vendr


Stefan Jol
Director, Machine Learning & Data Science at Vendr


Kushal Byatnaik
Co-Founder & CEO at Extend


Sumedha Rai
Articificial Intelligence & NLP at Acorns


Tej Patel
Neurosurgery Researcher at Cedars Sinai


Divya Nandakumar
Data Science Practice Leader at Philips


Alex Handy
Head of Data Science at Vira Health


Pavithra Rajendran
NLP Technical Lead and Senior Data Scientist at Great Ormond Street Hospital NHS Trust


Arthi Rajendran
Data Scientist at Arthi & AI


Zain Hasan
Senior Developer Advocate at Weaviate


Mauro Nievas Offidani
MD, Data Scientist
at National University
of the South


Annika Marie Schoene
Research Scientist at Northeastern University


Ayushi Agarwal
Head of Data Science & Analytics at United We Care


Sebin Sabu
NLP Data Engineer at Great Ormond Street Hospital NHS Foundation Trust


Abhinay Krishna Vellala
AI Researcher at Heidelberg University


Suyash Sangwan
Senior Data Scientist at S&P Global


Adi Tya
Co-Owner at Naavi Network


Karolina Tadel
PhD student, Digital Health Innovation Manager at Wroclaw Medical University


Tony Song
Senior Machine Learning Engineer, ML at Capital One


Sonal Goyal
Founder at Zingg.ai


About
The NLP Summit is the gathering place for those putting Generative AI, Natural Language Processing, and Large Language Models to good use. Now in its fourth year, this conference showcases best practices, real-world case studies and challenges in applying these technologies in practice – as well as the latest open-source libraries, tools, and models you can put to use today. The NLP Summit brings together the growing community interested in building Generative AI applications in healthcare, life science, finance, eCommerce, media, recruiting, and more.


Topics Covered
- Domain-Specific Language Models
- “Small” vs. “Large” Language Models
- Testing & Correcting for Responsible AI
- Multilingual Language Models
- Multi-Modal Language Models
- Fine-tuning, merging, and quantization
- Real-World Applications & Outcomes
- Combining knowledge graphs & LLMs
- Multi-Agent, Multi-LLM Systems
- Finding & Eliminating Hallucinations
- No-Code & Human-in-the-loop Tools
- MLOps & LLMOps
- Benchmarking Language Models
- Data preparation for RAG
- Generative AI in regulated industries
- Datasets for model fine-tuning