Applied AI Summit

Free online conference | October 13-15, 2026

Presented by

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.

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

  • 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