MLconf NYC 2024 Conference Agenda
7:00-8:30AM
Registration & Light Breakfast
7:55-8:00AM
Welcome & Announcements
8:00-8:30AM
Rongyao Huang: How to Befriend Generalist LLM’s – Lessons Learned Applying Generative AI to Build Better Data Products
8:30-9:00AM
Jeremy Wilken: Forces Shaping AI You Might Not Realize
9:00-9:30AM
Debasmita Das: Beyond Rules: The Intersection of AI and Compliance
9:30-10:00AM
Dr. Napoleon Paxton: Bridging the Last Mile Gap
10:00-10:30AM
Networking Break
10:30-11:00AM
Mikaela Pisani: Why Women Need to be Involved in Data Science to Prevent Bias in Algorithms
11:00-11:30AM
Facundo Santiago: Emerging Cognitive Architectures for (Language) Agents
11:30-12:00PM
Sumedha Rai: Natural Language Processing: The Power of Text in FinTech
12:00-12:30PM
Ankit Awasthi: Customer Data Platform as the Personalization Engine for LLMs
12:30-1:30PM
Lunch & Networking & EXPO
1:30-2:00PM
Andrea Brennen: Don’t Be Blind to Model Blindspots and Other Lessons on
AI Red-Teaming
2:00-2:30PM
Sanket Gupta: Foundational Embeddings to Enable Large-scale Transfer Learning in Recommender Systems
2:30-3:00PM
Gayathri Pallail: Generate a good-fit Generative AI output with Genetic Algorithm
3:00-3:30PM
Networking Break
3:30-4:00PM
Andy Xu: From Research to Production: Could a Neuroscience-based Approach to LLMs be the Key to Unlocking AI’s Full Potential?
4:00-4:30PM
Dr. Melliyal Annamalai: Adding Graphs to Machine Learning for Improved Accuracy, Performance, and Explainability
4:30-5:00PM
Closing Remarks & THANK YOU!
5:00-5:10PM
Closing Remarks & THANK YOU!