Program
Day 1 | Open Source
Tuesday, September 24
(All times are US Eastern Time)
12:05 pm ET – 12:25 pm ET
2024 Trends in Open-Source NLP & LLM Software
David Talby – CTO at John Snow Labs
12:25 pm ET – 12:45 pm ET
The Age of Synthetic Data and Small LLMs
Loubha Ben-Allal – Machine Learning Engineer at HuggingFace
12:45 pm ET – 1:05 pm ET
Scaling and Accelerating LLM Inference on Intel, Nvidia, and Apple Silicon
Maziyar Panahi – Principal AI Engineer & Team Lead at John Snow Labs
1:05 pm ET – 1:25 pm ET
Deconstructing Graph RAG: An Overview of Concepts and Methodologies
Prashanth Rao – AI Engineer at Kùzu, Inc.
1:25 pm ET – 1:45 pm ET
Ray: Navigating the New AI Infra Challenges
Robert Nishihara – CEO & Co-Founder at Anyscale
2:00 pm ET – 2:30 pm ET
Identifying and Mitigating Bias in AI Models for Recruiting
Katie Bakewell – Data Science Solutions Architect at NLP Logix,
Jason Safley – Chief Technology Officer at Opptly
Smart Documents: AI-Driven Query, Conversation, and Argumentation
Arthi Rajendran – Data Scientist at Zoho Corp.
Using Generative AI to Empower Procurement Teams with Real-Time Competitor Analysis
Divya Nandakumar – Data Science Practice Leader at Philips
2:35 pm ET – 3:05 pm ET
Automated Bias, Fairness, and Robustness Testing of Custom Language Models
Jessica Doucet – Product Manager at John Snow Labs
Vector Search Without Breaking the Bank: Quantization and Adaptive Retrieval
Zain Hasan – Senior Developer Advocate at Weaviate
Responsible AI for Suicide Prevention
Annika Marie Schoene – Research Scientist at Northeastern University
3:10 pm ET – 3:40 pm ET
Composable, Transparent, and Robust AI Applications
Malte Pietsch – Co-Founder at deepset
Graph RAG for Explainable and Reliable LLMs
Leann Chen – Generative AI Developer Advocate at Diffbot
Text Summarization for Clinical Data
Arasu Narayan – Sr.Principal Data Scientist at Oracle Inc.
3:10 pm ET – 3:40 pm ET
Unifying Language Models with Knowledge Graphs
Adi Tya – Co-Owner at Naavi Network
Scalable Entity Resolution With Python and ML
Sonal Goyal – Founder at Zingg.ai
Day 2 | Healthcare
Wednesday, September 25
(All times are US Eastern Time)
12:05 pm ET – 12:25 pm ET
Measuring the Benefits of Healthcare Specific Large Language Models
Veysel Kocaman – Head of Data Science at John Snow Labs
12:25 pm ET – 12:45 pm ET
Maximizing Patient Care through AI-Enhanced HCC Code Discovery
Abha Godse – Supervisor, AI & RPA at West Virginia University
12:45 pm ET – 1:05 pm ET
Applying Healthcare-Specific LLMs to Build Oncology Patient Timelines and Recommend Clinical Guidelines
Vishakha Sharma – Senior Principal Data Scientist at Roche
1:05 pm ET – 1:25 pm ET
Multi-Agent Based Agentic Workflow in Healthcare
Sanjay Basu – Senior Director at Oracle
1:25 pm ET – 1:45 pm ET
Turning Straw into Gold: Building Patient Journeys from Raw Medical Data
David Talby – CTO at John Snow Labs
2:00 pm ET – 2:30 pm ET
Deidentifying Free-Text Patient Notes: No Need for Tradeoffs
Ross Bierbryer – Head of Engineering at Dandelion Health
Automated Radiology Report Generation from Radiologist Impressions using Fine-Tuned LLAMA-3 Model: A Novel Approach
Abhinay Krishna Vellala – AI Researcher at Heidelberg University
Clinical Data in Sepsis Management – Comparative Analysis of Clinical Decision Support Systems at the Neonatal Intensive Care Units (NICU) in Hospitals
Karolina Tadel – PhD Student, Digital Health Innovation Manager at Wroclaw Medical University
2:35 pm ET – 3:05 pm ET
Capabilities of LLMs and Few-Shot Learning: A study on Cardiac MRI Data
Pavithra Rajendran – NLP Technical Lead and Senior Data Scientist at Great Ormond Street Hospital NHS Trust
Sebin Sabu – NLP Data Engineer at Great Ormond Street Hospital NHS Trust
Delivering Insights to Clinicians with NLQ for Patients’ Data
Denis Chernenko – CEO at NLSQL
Reasoning in Natural Language: Assessing Large Language Model capabilities in Sentiment Analysis
Nicolay Rusnachenko – Research Fellow at Bournemouth University
3:10 pm ET – 3:40 pm ET
Introducing the MultiCaRe Dataset: A Multimodal Case Report Dataset of Clinical Cases, Images, Labels and Captions
Mauro Nievas Offidani – MD, Data Scientist National University of the South
The Use of LLMs in Patient Education
Yee Ang – Consultant at National Healthcare Group
AyurGPT: Fine-Tuning a Medical LLM for Multilingual Ayurveda Consultations
Anand Padia – Global Head & AVP, GenAI and Program Management at Trigent Software, Inc.
3:45 PM ET – 4:15 PM ET
How Hospitals Can Effectively Use Machine Learning and AI in Neurosurgery
Tej Patel – Neurosurgery Researcher at Cedars Sinai
Development and Evaluation of an Artificial Intelligence Chatbot for Menopause Information
Alex Handy – Head of Data Science at Vira Health
Establishing Causality in Mental Health using AI
Ayushi Agarwal – Head of Data Science & Analytics at United We Care
Day 3 | Finance
Thursday, September 26
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Automating Systematic Reviews of Academic Research
Dia Trambitas – Head of Product at John Snow Labs
12:25 pm ET – 12:45 pm ET
Quantizing Large Language Models
Supriya Raman – Senior Vice President, MLOps at JPMorgan Chase & Co.
12:45 pm ET – 1:05 pm ET
A New Open Source Foundation for AI Data
Chang She – CEO & Co-Founder at Lance DB
1:05 pm ET – 1:25 pm ET
Accelerating LLM App Development with the Open-Source Data Prep Kit
Petros Zerfos – Principal Research Scientist & Manager at IBM Research
2:00 pm ET – 2:30 pm ET
Pedagogical and Strategic Utility of Large Language Models
Michelle Banawan – Academic Program Director at Asian Institute of Management
Generative Adversarial Networks (GANs) and Bayesian Analysis for Incorporating Expert Opinions into Advanced Credit Risk Models
Varun Nakra – VP, Credit Risk at Deutsche Bank
The Future of Financial Customer Engagement: Leveraging LLMs for Superior Financial Service
Kylie Li – Senior Data Scientist Salesforce
2:35 pm ET – 3:05 pm ET
Enhancing Marketing Campaigns with NLP: A Case Study on Data-Driven Decision Making in Consumer Analytics
Saurabh Kumar – Senior Manager, Data Science at Kraft Heinz Company
Technical E-book Creation with LLMs and Agentic Frameworks
Altaf Rehmani – Senior Manager at HSBC
Lessons Learned Deploying an
LLM Document Processing
System at Scale
Mark Andersen – VP, Data Science &
Analytics at Vendr
Stefan Jol – Director of Machine
Learning at Vendr
Kushal Byatnaik – CEO at Extend
3:10 pm ET – 3:40 pm ET
Techniques and Tools for the Evolving NLP Landscape in Fintech
Sumedha Rai – AI Researcher at NYU Langone Health
Knowledge Management with Gen AI and RAG Challenges
Antonio Ponte – Global Deposits & Investment Product Manager at Citi
Sentiment Analysis on Company Self Disclosures
Suyash Sangwan – Senior Data Scientist att S&P Global
3:45 pm ET – 4:15 pm ET
Optimizing Machine Learning Compute in Production with AWS SageMaker
Tony Song – Senior Machine Learning Engineer, ML at Capital One
