🔄 UPDATES

• 31/08/2025 - Document created

👋 Welcome!

Before applying, please read this guide carefully, especially the last section about the application and evaluation process.

At Data Makers Fest, we’re looking for makers eager to share their knowledge with the community. Whether you come from industry or academia, if your work can inspire and teach data practitioners, we want to hear from you.

The Data Makers Fest Team

🗂️ The following tracks exist at Data Makers Fest:

• Core Machine Learning: Classical & deep-learning algorithms, forecasting, recommendation, IR, time-series, tabular ML.
• Generative AI & LLMs: LLM fine-tuning, RAG, diffusion, prompt engineering, agentic AI.
• Engineering: Pipelines, lake-house, orchestration, feature stores, CI/CD for models, monitoring, analytics engineering.
• Analytics & visualization: Dashboards, storytelling, self-service BI, semantics layers.
• Responsible AI & Safety: Fairness, explainability, privacy, red-teaming, policy & compliance.
• Frontiers: Any topics that are becoming or are on the frontier to becoming adopted by industry, such as new foundation-model systems, causal ML, multimodal, retrieval-augmented agents, federated learning.
• Domain Applications: Sector case-studies (such as health, finance, and retail).
• Leadership: Data product management, team design, ROI, budgeting, org change, vendor selection.