SUMMITS
SPEAKERS
DATA SCIENTISTS
PARTICIPATING COMPANIES
ARTICLES IN THE PRESS
Join the global leading community of applied AI professionals.
Applied AI Summit 2026
This global, 3-day event dives deep into real-world applications of generative AI, LLMs, and advanced NLP across industries including healthcare, finance, legal, life sciences, and more.
Now in its 7th year, the Applied Generative AI Summit features 50+ presentations including 15 keynote sessions 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. All sessions will be available on-demand for 2 weeks after the event ends.
Keynote Speakers
David Talby
CEO
at
Moody Hadi
Head of AI Strategy & Execution
at
Ashish Shubham
VP Engineering and Engineering Fellow
at
Dhagash Mehta
Head of Applied AI (AI, GenAI, Responsible AI) Research
at BlackRock
Priyaranjan Pattnayak
Sr. Principal Scientist
at
Veysel Kocaman
CTO
at John Snow Labs
Nigam Shah
Chief Data Scientist
at Stanford Health Care
Alin Blidisel
Engineering Technical Lead
at Pacific AI
Rachel Wities
NLP and GenAI Lead, AI Center
at
Geethapriya Setty
Global Regulatory Affairs Manager
at Hologic
Daljit Chaggar
Regional Vice President at
at NNIT, Inc.
Julio Bonis
Principal Data Scientist
at Pacific AI
Emily Xue
Head of Enterprise AI
at Scale AI
Brenna Loufek
Director - AI
at Mayo Clinic
Nitin Aggarwal
Sr Director of Product Management, Platform AI & Responsible AI
at ServiceNow
Jason Safley
CTO
at Opptly
Anju Aggarwal
Head of Strategic Programs
at Pacific AI
Confirmed Speakers
Snehal Bhole
Director, Data Science - AI, Personalization & Recommendation
at
Pranidhi Prabhat
Senior Manager, Data Science & Analytics
at
Colleen Crangle
Founder/CEO
at
Alice Chung
Medical Excellence Enablement Director
at
Nirmal Jingar
AI & Technology Strategy Director
at
Jayakumar Ramalingam
Staff Software Engineer, Cloud Architect
at
Géza Kuti
Director, Delivery Management — Head of Data Engineering · Lead Enterprise Data Architect
at EPAM Systems
Ayan Putatunda
Staff Data Engineer
at Zendesk
Nihaad Saleem
Technical Account Manager
at AISquared
Nithesh Gudipuri
Associate director, technology
at Raymond James
Yesha Patel
Enterprise Solution Architect
at IBM
Logesh Kumar Umapathi
Machine learning Engineer
at Blackbox.ai
Ravi Venugopal
CEO
at Giggso Inc
Pan Yu
Senior Data Systems Analyst
at UCLA Health
Shubham Vatsal
Senior Data Scientist
at Cigna
Komal Sharma
Founder & CEO
at Mednoia Inc
Pratik Sharma
Technical Advisor
at Mednoia
Sean Creighton
Founding Partner
at Data4Healthcare
Hasham Ul Haq
Co-Founder and CTO
at CMS (former) and Martlet AI
Joan Kelly
Founder and CEO
at Caidir
Ray G. Butler
Director of Data Science
at Butler Scientifics
Prashant Thumma
CTO
at 3aware
Srikannan Balakrishnan
Product Engineering LLM/MLOps & AI Observability Lead
at Guardian Life
Jakir Hossain
AI Research Scientist
at University of Pittsburgh
Monika Aggarwal
Data & AI Technical GTM Product Leader
at IBM
Thangeswaran Natarajan
Senior Manager, Software Engineer
at General Motors
Anindita Nath
Health AI Researcher
at
Bharadwaj Popuri
Head of R&D Automation Platforms, Senior Director
at
Monica Munnangi
PhD Student
at Northeastern University
Krishnendu Dasgupta
Founder & Independent Researcher
at
Saket Karve
Member Of Technical Staff, Engineering
at
L. Raymond Guo
Assistant Professor
at West Virginia University
Navneet Tyagi
Senior Software Engineer
at Finance of America
Sonali Tamhankar
Senior Clinical Data Scientist
at Fred Hutch Cancer Center
Corinna Kester
Senior Manager
at Ramboll
Muntaser Syed
Researcher
at Florida Institute of Technology
Devavrat Khanolkar
Machine Learning Engineering Technical Leader
at Cisco Systems
Ashima Chakravarty
Global Head of Change Management
at BlackRock
Ankita Banerjee
Staff Software Engineer
at Walmart Global Tech
Testimonials
“What a brilliant event with a fantastic variety of topics and great speakers!”
“The virtual format is really helpful. It was great opportunity to learn and interact at the comfort of our home.”
“Thank you for your efforts and enthusiasm to create such a fantastic event!”
“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.”
“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!”
“Really enjoyed the look of the conference, nicer flow than other virtual technical events I’ve attended.”
“5 stars. Thank you for the enormous amount of work that went into making this event so informative for the community.”
“YOU WERE GREAT! THE BEST SUMMIT!!!”
“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.”
“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.”
“I truly enjoyed the Summit. Super thankful for this event. Looking forward to so much more!”
“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.”
“The event is very useful and we need more subjects like these to be discussed!”
“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.”
“Thank you very much! I love this event. Congratulations!”
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
- Evaluating LLM performance in real-world use cases
- Designing and deploying scalable RAG architectures
- Building and managing agentic AI workflows in production
- Multimodal AI: integrating text, imaging, and structured data
- Data quality, provenance, and auditability in AI systems
- MLOps and infrastructure for production-grade AI deployment
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