Beginner Lessons

How UX Research Will Shape the Future of AI

How to Actually Use Cost Effective AI in Your Business

The EU AI Act: Navigating New Legislation // Podcast #271

Why Your ML Models Aren't Making Money

Scrappy Startup Secrets Build or Buy Dilemma!

The Future of Data: Composability & the Modular Data Stack

Scaling Data Reliably: A Journey in Growing Through Data Pain Points // Miriah Peterson // DE4AI

Chronon: Airbnb's Open-Source Data Platform

The Next Revolution in AI: LLMs and Beyond

How GPUs are Revolutionizing AI Data Management

Data Contracts: The Missing Piece of the Data Puzzle

Data Engineering: The Missing Piece of Your Data Science Puzzle

Common ML Serving Architectures Explained

Data Quality Management Techniques - The Complete Guide

The Evolution of Lyft's Feature Store // Devon Mittow // DE4AI

Data Scientists & Data Engineers: How the Best Teams Work // Panel // DE4AI

Supercharging Your RAG System: Techniques and Challenges // Tengyu Ma // DE4AI

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

Fresh Data, Smart Retrieval: Milvus & Jina CLIP Explained // MLOps Mini Summit #7

Essential Documentation Elements for Startups // Dave Nunez // MLOps Podcast #235 clip

From Robotics to Recommender Systems // Miguel Fierro // MLOps Podcast #240

AWS Trainium and Inferentia // Kamran Khan and Matthew McClean // MLOps Podcast #238

Build Reliable Systems with Chaos Engineering // Benjamin Wilms // MLOps Podcast #237

Handling Massive Machine Learning Models // Simon Karasik // MLOps podcast #228 clip

Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // MLOps Podcast #236