Videos and Online Events
2026-01-27
Preparing Your Data Warehouse for AI: Let Your Agents Cook
Jacob and Jerel from MotherDuck showcase practical ways to optimize your data warehouse for AI-powered SQL generation. Through rigorous testing with the Bird benchmark, they demonstrate that text-to-SQL accuracy can jump from 30% to 74% by enriching your database with the right metadata.
AI, ML and LLMs
SQL
MotherDuck Features
Stream
Tutorial
2026-01-21
The MCP Sessions - Vol 2: Supply Chain Analytics
Jacob and Alex from MotherDuck query data using the MotherDuck MCP. Watch as they analyze 180,000 rows of shipment data through conversational AI, uncovering late delivery patterns, profitability insights, and operational trends with no SQL required!
Stream
AI, ML and LLMs
MotherDuck Features
SQL
BI & Visualization
Tutorial
59:39
2026-01-16
Reliable AI Agents for Business Analytics
MotherDuck cofounder Ryan Boyd demonstrates how to close the LLM accuracy gap for business analytics using MotherDuck's MCP server, semantic modeling, and hyper-tenancy architecture for AI agents.
AI, ML and LLMs
2025-11-20
Data-based: Going Beyond the Dataframe
Learn how to turbocharge your Python data work using DuckDB and MotherDuck with Pandas. We walk through performance comparisons, exploratory data analysis on bigger datasets, and an end-to-end ML feature engineering pipeline.
Webinar
Python
AI, ML and LLMs
2025-11-19
LLMs Meet Data Warehouses: Reliable AI Agents for Business Analytics
LLMs excel at natural language understanding but struggle with factual accuracy when aggregating business data. Ryan Boyd explores the architectural patterns needed to make LLMs work effectively alongside analytics databases.
AI, ML and LLMs
MotherDuck Features
SQL
Talk
Python
BI & Visualization
2025-11-14
Empowering Data Teams: Smarter AI Workflows with Hex & MotherDuck
AI isn't here to replace data work, it's here to make it better. Watch this webinar to see how Hex and MotherDuck build AI workflows that prioritize context, iteration, and real-world impact.
Webinar
AI, ML and LLMs
2025-11-05
The Unbearable Bigness of Small Data
MotherDuck CEO Jordan Tigani shares why we built our data warehouse for small data first, not big data. Learn about designing for the bottom left quadrant, hypertenancy, and why scale doesn't define importance.
Talk
MotherDuck Features
Ecosystem
SQL
BI & Visualization
AI, ML and LLMs
60:00
2025-10-23
Can DuckDB replace your data stack?
MotherDuck co-founder Ryan Boyd joins the Super Data Brothers show to talk about all things DuckDB, MotherDuck, AI agents/LLMs, hypertenancy and more.
YouTube
BI & Visualization
AI, ML and LLMs
Interview
2025-09-10
Building AI Applications That Need Analytics
Jordan Tigani explores how AI applications can leverage analytics databases to answer complex questions. LLMs struggle with calculations and private data. Enter "Hyper-Tenancy" for isolated cloud instances.
AI, ML and LLMs
Short
SQL
MotherDuck Features
Talk
2025-05-20
AI Powered BI: Can LLMs REALLY Generate Your Dashboards? ft. Michael Driscoll
Discover how business intelligence is evolving from drag-and-drop tools to code-based, AI-powered workflows—leveraging LLMs, DuckDB, and local development for faster, more flexible analytics.
YouTube
AI, ML and LLMs
BI & Visualization
2025-05-13
Faster Data Pipelines development with MCP and DuckDB
Discover how the Model Context Protocol (MCP) accelerates data pipeline development with AI tools, DuckDB, and MotherDuck, streamlining schema discovery and code generation for data engineers.
YouTube
AI, ML and LLMs
2025-04-22
More Than a Vibe: AI-Driven SQL That Actually Works
Jacob Matson shares insights from AI-powered spatial data analysis, exploring how to "vibe code" with AI-generated SQL using MotherDuck and DuckDB for real-world decision-making scenarios.
Talk
AI, ML and LLMs
2025-04-10
Practical AI Workflows For Data Professionals
4 lightning talks on practical AI workflows: -Mehdi: MCP feedback loops for faster data engineering cycles -Archie: Cursor configs for data app dev -Nate: LLMs + SQL for CRM cleaning -Evelyn: Auto-generated data catalog descriptions
Interview
AI, ML and LLMs
Data Quality
Data Pipelines
33:49
2024-11-08
A duck in the hand is worth two in the cloud
What if I told you that you could complete a JSON parse and extract task on your laptop before a distributed compute cluster even finishes booting up?
YouTube
BI & Visualization
AI, ML and LLMs
SQL
Python
Talk
29:54
2024-10-23
Machine learning and AI at MotherDuck
MotherDuck's Till Döhmen talks at DuckDB Meetup #1 Amsterdam about all the clever ways the AI team is extending SQL to include AI features.
YouTube
AI, ML and LLMs
Meetup
Talk
50:21
2024-10-09
Big data is dead, analytics is alive.
Till and Adithya from MotherDuck discuss DuckDB’s impact on analytics and AI, showcasing its fast, versatile in-process SQL and AI features like text-to-SQL, vector search, and query correction—powerful analytics even on your laptop.
AI, ML and LLMs
Interview
1:07:10
2024-05-31
Boosting datasets discoverability for AI using DuckDB
Data is the foundation of any quality model, and discovering the right datasets is a crucial first step. In this Quack & Code session, Mehdi & Andrea Soria from HuggingFace show how to do just that.
YouTube
AI, ML and LLMs
Quack & Code
0:21:59
2024-02-19
DuckDB and recommenders : a lightning fast synergy ft. Khalil Muhammad
Khalil Muhammad at the DuckDB meetup in Dublin on 23 January 2024! He shows what DuckDB offers you to move quickly when building recommendation engines and optimizing data modeling for machine learning. Predict user preferences to profit!
YouTube
AI, ML and LLMs
Meetup
Talk
0:25:04
2023-08-24
The Bad, the Good, and the Ugly: Navigating the New Waves of Machine Learning ft. Adi Polak
Mehdi chats with Adi Polak, the author of "Scaling Machine Learning with Spark", right after the DATA+AI summit by Databricks in San Francisco. They had an insightful discussion about ML, the basics of data, how LLMs help, ++.
YouTube
Interview
AI, ML and LLMs
