Monday, September 23rd 2024
- 09:30 AM - 01:00 PM (PBS Room 1): Chat with your own data
- 09:30 AM - 01:00 PM (PBS Room 2): Charts that communicate your message: A method
- 01:00 PM - 02:30 PM: Networking lunch
- 02:30 PM - 06:00 PM: (PBS Room 1): From basics to recent extensions of Double Machine Learning
- 02:30 PM - 06:00 PM: (PBS Room 2): SQL Resurgence: Unleashing Data Potential with dbt
Tuesday, September 24th 2024
- 09:00 AM - 09:15 AM: Welcome to Data Makers Fest
- 09:15 AM - 10:00 AM: Reality Centric AI
- 10:10 AM - 10:35 AM (Random Forest): Beyond what the eye can see: Ups and downs of AI in Healthcare
- 10:20 AM - 10:45 AM (Neural Nexus): Data Experience Design
- 10:35 AM - 11:00 AM (Random Forest): BioLLMs for AI driven drug discovery
- 10:35 AM - 11:00 AM (Hidden Layers): SQL Resurgence: Unleashing data potential with dbt
- 10:45 AM - 11:10 AM (Neural Nexus): Charts are for all: Creating Visualizations for diverse audiences
- 11:00 AM - 11:25 AM (Random Forest): Machine Learning and Multi Omits
- 11:00 AM - 11:25 AM (Hidden Layers): Foreman: Building a tailored data assistant using dbt metadata
- 11:10 AM - 11:35 AM (Neural Nexus): Beyond charts: New data representation frontiers
- 11:25 AM - 11:50 AM (Hidden Layers): Connecting the dots with Graph AI
- 11:35 AM - 12:00 PM (Random Jungle): Identifying fish with with deep learning in Portuguese dams
- 12:00 PM - 12:25 PM (Random Jungle): Leveraging CycleGANs to detect rare traffic signs
- 01:45 PM - 02:10 PM (Hidden Layers): Dismantling Big Data with DuckDB
- 02:10 PM - 02:35 PM (Neural Nexus): Balancing Act: Recommendation systems in retail media
- 02:10 PM - 02:35 PM (Random Jungle): Balancing Act: Implementing a Highly transparent RAG system for fact-checking
- 02:10 PM - 02:35 PM (Hidden Layers): Building a self-service streaming platform
- 02:35 PM - 03:00 PM (Neural Nexus): DGCF: Deep Graphed-Powered Recommendations
- 02:35 PM - 03:00 PM (Random Jungle): Maximizing performance and reducing injuries in basketball
- 02:35 PM - 03:00 PM (Hidden Layers): Policy as code: Automating compliance with Data Mesh
- 03:00 PM - 03:25 PM (Neural Nexus): Building recommendation systems for e-commerce marketplaces
- 03:00 PM - 03:25 PM (Random Jungle): Modeling checkouts behavior to support a retailer’s stores design
- 03:25 PM - 04:10 PM: Break
- 04:10 PM - 04:35 PM: (Neural Nexus): Introduction to Causal Machine Learning
- 04:10 PM - 04:35 PM: (Random Forest): TinyML: Efficient Deep Learning with quantization & pruning
- 04:10 PM - 04:35 PM: (Hidden Layers): Creating a large dataset for pretraining LLMs
- 04:35 PM - 05:00 PM: (Random Jungle): Leveraging Deep Learning for climate change
- 05:10 PM - 05:55 PM: To be announced
- 05:55PM - 07:55 PM: Networking beer
Wednesday, September 25th 2024
- 09:00 AM - 09:45 AM: EU AI Act: Introduction and obligations
- 09:55 AM - 10:20 AM: (Random Forest): Measuring success of AI features
- 10:00 AM - 10:50 AM (Hidden Layers): High mileage of Low Rank Adapters
- 10:05 AM - 10:30 AM (Neural Nexus): Fine-tuning of LLMs: Level up your game with MLOps
- 10:20 AM - 10:45 AM (Random Forest): First Principles Thinking in real world Machine Learning
- 10:30 AM - 10:55 AM (Neural Nexus): Beyond text: Exploring the world with Large Multimodal Models
- 10:45 AM - 11:10 AM (Random Forest): Integrating AI into traditional industries: a strategic blueprint
- 10:55 AM - 11:20 AM (Neural Nexus): The model wants what it wants: Strategies for label collection
- 11:00 AM - 11:25 AM (Hidden Layers): Foreman: Building a tailored data assistant using dbt metadata
- 11:00 AM - 11:50 AM (Hidden Layers): Affine: Large Scale RAG for the Portuguese legal domain
- 11:10 AM - 11:35 AM (Random Forest): Killing it softly: Ensuring ML projects deliver long-term value
- 01:00 PM - 01:25 PM (Random Forest): The ML Monitoring Flow for models deployed to production
- 01:00 PM - 01:50 PM (Hidden Layers): Is it worth it? Causality evaluation of a marketing campaign
- 01:25 PM - 01:50 PM (Neural Nexus): Shaping the Fine-Art Industry trough AI
- 01:25 PM - 01:50 PM (Random Forest): Prototype to production for RAG applications
- 01:50 PM - 02:15 PM (Neural Nexus): Come on Barbie, let’s go party: Using AI for music mixing
- 01:50 PM - 02:15 PM (Random Forest): QA for ML: How we can trust AI with Food Sustainability
- 01:50 PM - 02:40 PM (Hidden Layers): The Power of Knowledge Graphs: A new era for AI
- 02:15 PM - 02:40 PM (Neural Nexus): Lessons and insights from Computational Creativity
- 02:15 PM - 02:40 PM (Random Forest): Performance of generative systems - a "data science" approach
- 02:40 PM - 03:25 PM: Break
- 03:30 PM - 03:55 PM (Neural Nexus): The future of human-centric eXplainable AI
- 03:30 PM - 03:55 PM (Random Jungle): Multi-agent collaboration: Make AI code an entire application
- 03:55 PM - 04:20 PM (Neural Nexus): Unlocking LLMs: Forgiving errors, risks & ethical responsibility
- 03:55 PM - 04:20 PM (Random Forest): Election forecasting: From Bayesian inference to rolling dice
- 04:45 PM - 05:35 PM: Friends don't let friends deploy black-box models
- 05:35 PM - 05:45 PM: Closing Session
