The NLP Summit is now the

Applied AI Summit

Free online conference | October 14-16, 2025

Presented by

SUMMITS

SPEAKERS

DATA SCIENTISTS

PARTICIPATING COMPANIES

ARTICLES IN THE PRESS

Join the world’s leading community of applied AI professionals at the virtual

Applied AI Summit 2025

This global, 3-day event dives deep into real-world applications of generative AI, large language models (LLMs), and advanced NLP across industries including healthcare, finance, legal, life sciences, and more.

Now in its 6th year, the Applied Generative AI Summit features 30+ keynote presentations and expert-led sessions showcasing practical case studies, implementation strategies, and the latest breakthroughs in open-source models, tools, and frameworks.

Discover how organizations are deploying LLMs at scale, navigating ethical and technical challenges, and unlocking real business value through applied AI.

Testimonials

“What a brilliant event with a fantastic variety of topics and great speakers!”

Professor
at Cambridge University

“The virtual format is really helpful. It was great opportunity to learn and interact at the comfort of our home.”

Programmer
at Cognizant

“Thank you for your efforts and enthusiasm to create such a fantastic event!”

NLP Researcher
at Serbian Academy of Sciences and Arts

“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

“NLP as a whole is such a daunting topic, but I really appreciate being able to go deep in one application area while keeping tabs on use cases in other fields. Keep up the great work!”

Head of Data Science
at Sanofi

“Really enjoyed the look of the conference, nicer flow than other virtual technical events I’ve attended.”

Data Scientist
at Large Healthcare Company

“5 stars. Thank you for the enormous amount of work that went into making this event so informative for the community.”

Professor
at Université de Mons

“YOU WERE GREAT! THE BEST SUMMIT!!!”

Clinical Effectiveness Analyst
at Pieces

“I learned a lot from this summit. I received a ton of information on NLP use cases in the health domain. Really good content and very useful information shared by the speakers! Again, thank you so much to the whole team.”

Senior Data Scientist
at Large Health Tech Company

“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

“I truly enjoyed the Summit. Super thankful for this event. Looking forward to so much more!”

Technical Engineer
at Large AI Company

“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.”

John Doe
Machine Learning Research Engineer at Hugging Face

“The event is very useful and we need more subjects like these to be discussed!”

CEO
at Healthcare Tech Startup

“I just wanted to say thank you for putting on an awesome summit. I was expecting long sales pitches like other conferences, but you put together a really useful program that took us near the state-of-the-art.”

Senior AI Researcher
at Pfizer

“Thank you very much! I love this event. Congratulations!”

Computer Science Engineering Student

Participating Companies

Trusted by leading organizations shaping the future of AI

Apply to Speak

Interested in sharing your insights at the Virtual AI Summit?
Apply to speak on one of our three themed days by filling out the form below.

Day 1

Applied Generative AI

  • Building and deploying LLMs in the enterprise
  • Deploying and Orchestrating AI Agents in real-world applications
  • Architectures and infrastructure for scalable GenAI
  • Data pipelines, fine-tuning, and RAG strategies
  • Open-source vs. proprietary models in production
  • Open-Source libraries for building, evaluating, and scaling AI agents and systems

Day 2

Applied Healthcare AI

  • LLM applications in clinical and biomedical workflows
  • Improving patient care with generative AI
  • Privacy, security, and compliance in healthcare AI
  • Automating clinical documentation and summarization
  • Automating research, systematic reviews, and RAG discoveries
  • AI adoption across healthcare systems

Day 3

Applied AI Governance

  • Measuring Model Safety, Bias, and Transparency
  • Open Source Libraries for Red Teaming and Model Testing
  • Global AI regulations and enterprise readiness
  • Governance strategies for responsible AI use
  • Human oversight and ethical AI practices
  • Implementing guardrails and firewalls

Featured Speakers

Leaders and innovators who have taken the stage

David Talby

David Talby

CEO

at John Snow Labs

Christine Swisher

Christine Swisher

VP, AI & Data Science

at Oracle Health

Robert Nishihara

Robert Nishihara

CEO & Co-Founder

at Anyscale

Shreya Rajpal

Shreya Rajpal

Co-Founder & CEO

at Guardrails AI

Supriya Raman

Supriya Raman

AI Engineering Manager

at IBM WatsonX Labs

Thirupathi Pattipaka

Thirupathi Pattipaka

Director

at DataScience & AI at Novartis Pharma AG

Michelle Banawan

Michelle Banawan

Asst. Professor and Academic Program Director

at Asian Institute of Management

Vipul Raheja

Vipul Raheja

Applied Research Scientist

at Grammarly

Beau Tse

Beau Tse

Partner Solutions Architect

at Amazon Web Services

Jabeen Fayyaz

Jabeen Fayyaz

Associate Professor

at The Hospital for Sick Children

Louis Ehwerhemuepha

Louis Ehwerhemuepha

Data Science Research Director

at Children’s Hospital of Orange County

Ying Ding

Ying Ding

Bill & Lewis Suit Professor

at School of Information, Dell Medical School, University of Texas at Austin

Ayindri Banerjee

Ayindri Banerjee

Data Science & AI Leader

at Humana

Yanshan Wang

Yanshan Wang

Vice Chair of Research and Assistant Professor in Health

at University of Pittsburgh

Divya Nandakumar

Divya Nandakumar

Data Science Practice Leader

at Philips

Krishnaram Kenthapadi

Krishnaram Kenthapadi

Chief Scientist, Clinical AI

at Oracle Health AI

Varun Nakra

Varun Nakra

VP, Credit Risk

at Deutsche Bank

Vishakha Sharma

Vishakha Sharma

Principal Data Scientist

at Roche

Mike Schaekermann

Mike Schaekermann

Research Scientist

at Google

Nicoleta Economou-Zavlanos

Nicoleta Economou-Zavlanos

Algorithm-Based CDS Oversight Director

at Duke University School of Medicine

Moshe Wasserblat

Moshe Wasserblat

NLP Research Manager

at INTEL

Hoifung Poon

Hoifung Poon

General Manager

Microsoft Health Futures at Microsoft

Loubha Ben-Allal

Loubha Ben-Allal

Machine Learning Engineer

at HuggingFace

Veysel Kocaman

Veysel Kocaman

CTO

at John Snow Labs

Robbie Freeman

Robbie Freeman

System VP Clinical Innovation & CNIO

at Mount Sinai Health System

Pavithra Rajendran

Pavithra Rajendran

NLP Technical Lead and Senior Data Scientist

at Great Ormond Street Hospital NHS Trust

Gary Kazantsev

Gary Kazantsev

Head of Quant Technology Strategy

at Bloomberg

Clément Delangue

Clément Delangue

Co-founder & CEO

at Hugging Face

John Bauer

John Bauer

Research Programmer

at Stanford University

Vivek Tomer

Vivek Tomer

Principal Data Scientist

at Providence St. Joseph Health

Marco Túlio Ribeiro

Marco Túlio Ribeiro

Senior Researcher

at Microsoft Research

Liam Fedus

Liam Fedus

Member of the Technical Staff

at OpenAI