53:19
2026-05-12
PriceMedic replaced Athena and Redshift with MotherDuck. Co-founder Josh Nakka on the 14x speedup, $20K/month savings, and Dives for customers.
Webinar
MotherDuck Features
AI, ML and LLMs
1:02:00
2026-05-07
Watch how an AE and a marketer use AI to analyze their own business data without writing SQL or waiting on a data team.
Webinar
AI, ML and LLMs
MotherDuck Features
Tutorial
7:14
2026-04-23
Learn to write effective context for data agents. Covers benchmarks comparing English, SQL, and semantic model formats plus scaling strategies.
Webinar
AI, ML and LLMs
38:23
2026-03-17
See how MotherDuck's new query_rw MCP tool lets AI agents write back to your data warehouse, creating tables, storing embeddings, and saving views.
Stream
AI, ML and LLMs
MotherDuck Features
SQL
1:00:01
2026-03-12
Jacob Matson covers text-to-SQL accuracy, why data models matter more than LLM choice, the MotherDuck MCP workflow, and Dives on Super Data Brothers.
Interview
AI, ML and LLMs
SQL
MotherDuck Features
1:00:14
2026-03-11
Learn how to build a conversational AI chatbot for your SaaS product using the MotherDuck MCP server, with scoped data access and streaming responses.
Webinar
AI, ML and LLMs
Tutorial
MotherDuck Features
2026-01-27
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
0:09:18
2026-01-21
Learn how to use the MotherDuck MCP server with Claude to analyze data using natural language—no SQL required. This text-to-SQL tutorial shows how AI data analysis works with the Model Context Protocol (MCP), letting you query databases, Parquet files on S3, and even public APIs just by asking questions in plain English.
YouTube
Tutorial
AI, ML and LLMs
2026-01-21
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
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
2026-01-13
Watch us dive into NFL playoff odds and PGA Tour stats using using MotherDuck's MCP server with Claude. See how to analyze data, build visualizations, and iterate on insights in real-time using natural language queries and DuckDB.
AI, ML and LLMs
SQL
MotherDuck Features
Tutorial
BI & Visualization
Ecosystem
2025-11-20
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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