NLP Summit
Presented by
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!
“Brilliant event with a fantastic variety of topics and great speakers!”
“It was awesome!”
“The event was wonderful thanks for everything.”
“Really enjoyed the look of the conference, nicer flow than other virtual technical events I’ve attended.”
Excellent and informative sessions
“The virtual summit was really helpful. It was great opportunity to learn and interact at the comfort of our home.”
“YOU WERE GREAT! THE BEST SUMMIT!!!” – Clinical Effectiveness Analyst at Pieces
“Absolutely outstanding talks!” – Senior Data Scientist at Fitch Ratings
“My sincere thank you for having me as a speaker at the NLP Summit! It has been a wonderful experience and I had many people from my team/company who learned a lot from the talks. Thank you for this platform.” – Head of Data Science at Brillio
“Amazing job on organising such a fantastic event, congrats! The talk was very enjoyable and it was great to see the audience engage with questions.” – Machine Learning Research Engineer at Hugging Face
“Thank you very much! I love this event. Congratulations!” – Computer Science Engineering Student
“Best event of the year, hands down!”
“5 stars. Thank you for the enormous amount
of work that went into making this event so
informative for the community.”
“Organize events like this more frequently!”
“Please continue such events as they are great
learning source. Next year, we plan to attend to
leverage on networking opportunities.”
“I had the opportunity to listen into several sessions. The event was incredibly impressive. Thanks for taking the time to put it all together…I know that takes a lot of work. Thanks again.”
– Tim Suther
Past Speakers
Amani Namboori
Applied Scientist at Amazon
David Talby
CTO
at John Snow Labs
Yanshan Wang
Vice Chair of Research and Assistant Professor in Health Informatics, University of Pittsburgh
Hoifung Poon
General Manager, Microsoft Health Futures
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
Participating Companies
