Beginner Lessons

Why DuckDB is the Future of Data

Turn Data Chaos into AI Strategy with Programmatic AI Data Development // Elena Boiarskaia // DE4AI

LLMs in Financial Services: Personalized Portfolio Recommendation Engines // Akmal Chaudhri // DE4AI

GenAI in production with MLflow // Ben Wilson // DE4AI

Unified Data + AI Governance with Unity Catalog // Michelle Leon & Victoria Bukta // DE4AI

11 lessons learned from doing deployments // Sol Rashidi // DE4AI

The Daft distributed Python data engine: multimodal data curation at any scale // Jay Chia // DE4AI

Unpacking 3 Types of Feature Stores // Simba Khadder // MLOps Podcast #265

Integrating Knowledge Graphs & Vector RAG for Efficient Information Extraction / Reading Grp Sept 12

Global Feature Store // Gottam Sai Bharath & Cole Bailey // MLOps Podcast #263

Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // MLOps Podcast #259

AI Testing Highlights // Special MLOps Podcast Episode

Continuous Model Training // Nicolas Mauti // MLOps Podcast #255 clip

MLOps for GenAI Applications // Harcharan Kabbay // MLOps Podcast #256

Data Quality = Quality AI // Panel // AIQCON

Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

Balancing Speed and Safety // Panel // AIQCON

Mastering Software Engineering for Data Scientists // Catherine Nelson // MLOps podcast #245 clip

Why Startups Must Prioritize Data Privacy in the Age of AI // David Weik // Podcast #247 shorts

Generative AI Governance Emerging // Sophia Rowland // MLOps Podcast #247 clip

All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // Podcast #245

AB Testing for Optimal ROI // Miguel Fierro // MLOps Podcast #240 clip

Understanding Trainium and Inferentia // Kamran Khan and Matthew McClean // MLOps podcast #238 clip

The Role of Knowledge Graphs in Enhancing AI Determinism // Tom Smoker // MLOps podcast #236 clip