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 global leading community of applied AI professionals.

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.

Confirmed Speakers

Sushant Mehta

Sushant Mehta

Post Training Research

at Google DeepMind

Corinne Stroum

Corinne Stroum

Head of Emerging Tech

at SCAN

Seetaram Rao Rayarao

Seetaram Rao Rayarao

VP, Senior Tech Lead

at JP Morgan Chase

Alice Chung

Alice Chung

Sr. Analytics Manager - Medical Insights

at Genentech

Ronak Kosamia

Ronak Kosamia

Principal Software Developer

at Capital One

Sanchit Srivastava

Sanchit Srivastava

Sr. Manager Data Analytics & Architecture / Principal Architect

at General Mills Inc

Anusha Nerella

Anusha Nerella

AI & FinTech Visionary | Senior Software Engineer

at State Street Corporation

Albert Lie

Albert Lie

Chief Technology Officer

at Forward Labs

Garima Arora

Garima Arora

Manager

at Mastercard

Paarth Chothani

Paarth Chothani

Staff Software Engineer

at Uber

Raphael Mimoun

Raphael Mimoun

R&D Center General Manager

at Truecaller

Mathew Wang

Mathew Wang

Data / AI Lead

at Newfront Insurance

Alex Boudreau

Alex Boudreau

Director, AI

at Clario

Bhavnish Walia

Bhavnish Walia

Senior Risk Manager AI/ML

at Amazon

Cibaca Khandelwal

Cibaca Khandelwal

Machine Learning Engineer

at RaySecur Inc.

Santosh Kumar

Santosh Kumar

Technical Leader - AI

at HCLTech USA

Akshay Mittal

Akshay Mittal

Member of Technical Staff - Software Engineer

at PayPal

Chantz Strong

Chantz Strong

Executive Director, Technolgy & Analytics and Chief Privacy Office

at Canadian Medical Protective Association

Walter Bender

Walter Bender

Chief Scientific Officer

at Sorcero

Shreya Rajpal

Shreya Rajpal

Co-Founder & CEO

at Guardrails AI

Banani Mohapatra

Banani Mohapatra

Senior Manager, AI/ML & Data Science

at Walmart

Chi Wang

Chi Wang

Senior Staff Research Scientist

at Google DeepMind

Chang She

Chang She

CEO and Co-founder

at LanceDB

Veysel Kocaman

Veysel Kocaman

CTO

at John Snow Labs

Dia Trambitas

Dia Trambitas

Head of Product

at John Snow Labs

David Talby

David Talby

CEO

at John Snow Labs

Kalpan Dharamshi

Kalpan Dharamshi

Vice President

at JP Morgan Chase

Jyoti Shah

Jyoti Shah

Director of Application Development

at ADP

Rajesh Sura

Rajesh Sura

Head of Data Engineering and Analytics

at Amazon

Viv Pitter

Viv Pitter

Staff Data Scientist

at Lark Health

Yuxiong He

Yuxiong He

AI Research Lead

at Snowflake

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

Apply to Speak

Interested in sharing your insights at the Applied 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