Applied AI Summit
The Applied AI Summit is a premier global online event, now in its 6th year, dedicated to exploring the cutting edge of applied generative AI. Attendees will discover how organizations are deploying LLMs at scale, navigating ethical and technical challenges, and unlocking real business value through innovative AI solutions, fostering a vibrant atmosphere of learning and collaboration among professionals.
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Start Date
Monday, October 13, 2025
12:00 AM
Location
Online
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Event Details
Date & Time
Monday, October 13, 2025 at 12:00 AM
to Thursday, October 16, 2025 at 11:59 PM
Location
Online
Additional Information
Event Details:
- Dates: October 14-16, 2025
- Format: Free online conference
- Key Themes: Generative AI, Large Language Models (LLMs), Advanced NLP
- Industries Covered: Healthcare, Finance, Legal, Life Sciences, and more.
- Features: 30+ keynote presentations and expert-led sessions.
- Topics: Practical case studies, implementation strategies, latest breakthroughs in open-source models, tools, and frameworks.
Agenda Highlights:
- 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
Confirmed Speakers and Affiliations: Dia Trambitas (Head of Product at John Snow Labs), Chantz Strong (Executive Director, Technolgy & Analytics and Chief Privacy Office at Canadian Medical Protective Association), Chi Wang (Senior Staff Research Scientist at Google DeepMind), Chang She (CEO and Co-founder at LanceDB), David Talby (CEO at John Snow Labs), Yuxiong He (AI Research Lead at Snowflake), Veysel Kocaman (CTO at John Snow Labs), Sarah Gebauer (Founder, Physician & AI Model Evaluation Expert at Validara Health), Nigam Shah (Chief Data Scientist at Stanford Health Care), Tal Amitay (VP of Engineering at Brook Health), Julio Bonis (Principal Data Scientist at John Snow Labs), Brian Anderson (President & CEO, the Coalition for Health AI (CHAI)), Timothy Huerta (CRIO & Associate Dean for Research Information Technology at Ohio State University – Columbus Ohio), Sanchit Srivastava (Sr. Manager Data Analytics & Architecture / Principal Architect at General Mills Inc), Anusha Nerella (AI FinTech leader and Forbes Technology Council member), Albert Lie (Chief Technology Officer at Forward Labs), Garima Arora (Manager at Mastercard), Monojit Banerjee (Lead at Salesforce), Raphael Mimoun (R&D Center General Manager at Truecaller), Mathew Wang (Data / AI Lead at Newfront Insurance), Harsh Nilesh Pathak (Tech Lead ML/AI at GoDaddy), Bhavnish Walia (Senior Risk Manager AI/ML at Amazon), Amaan Javed (Principal Applications Engineer at Meta), Santosh Kumar (Technical Leader - AI at HCLTech USA), Akshay Mittal (Member of Technical Staff - Software Engineer at PayPal), Alice Chung (US Medical - Integrated Engagement & Process Enablement Lead at Genentech), Walter Bender (Chief Scientific Officer at Sorcero), Sushant Mehta (Post Training Research at Google DeepMind), Banani Mohapatra (Senior Manager, AI/ML & Data Science at Walmart), Gaurav Mittal (Sr. Security Data Analyst at Zoom Video Communication), Jyoti Shah (Director of Application Development at ADP), Kalpan Dharamshi (Senior IEEE Member), Rajesh Sura (Head of Data Engineering and Analytics at Amazon), Janine Zitianellis (Data Scientist, Researcher at Monarch Business School, Switzerland), Alex Boudreau (Director, AI at Clario), Svetlana Makarova (AI Principal Product Manager at Mayo Clinic), Vipin Kataria (Senior Lead Architect (Data/ML) at Picarro Inc), Corinne Stroum (Head of Emerging Tech at SCAN), Seetaram Rao Rayarao (VP, Sr Lead Engineer at JP Morgan Chase), Shiva Kumar Ramavath (Lead AI Machine Learning Engineer at Albertsons), Spencer Schaefer (Chief Technology Officer and Co-Founder at Lunar Analytics, LLC.), Behnaz Eslami (Graduate Research Assistant at Loyola University Chicago), Hasham Ul Haq (Co-Founder & CTO at Martlet.ai), Ritwik Jain (Co-Founder at Martlet.ai), Mike Temple (Lead Healthcare Data Scientist at TriNetX), Zuzanna Drebert (Data Scientist at TriNetX), Soura Bhattacharyya (Co-founder & CEO at Lattice Innovations Pvt Ltd), Aakash Yadav (Senior Security Risk Analyst at Roblox), Asankhaya Sharma (Co-Founder and Chief Technology Officer at Patched.codes), Shweta Agrawal (Chief AI Product Officer at Boston New Technology), David Rivkin (CTO at GovernanceLabs.ai and Sr. Director at the Responsible AI Center of Excellence at UnitedHealthGroup), Arjun Srinivasan (Director - Data Science & Enterprise AI), Natarajan Ravikumar (Sr. IT Project Manager at Honeywell International).
Registration Information: Apply to speak is available.
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