60:29
2026-08-26
Do AI Agents Need a Semantic Layer?
Do AI agents need a semantic layer? Evals comparing plain-text context with a Malloy semantic layer show where each wins, and what it costs.
Stream
AI, ML and LLMs
BI & Visualization
SQL
Videos and Online Events
63:17
2026-08-18
Beyond Copilots: We're Building a Data Stack Live with AI Agents
Agentic data engineering in practice: AI agents build dlt ingestion into MotherDuck and a governed Lightdash semantic layer, live in an hour.
Stream
AI, ML and LLMs
Data Pipelines
Ecosystem
52:41
2026-08-13
Introducing Guides: Warehouse-Native Context for AI Agents
Guides store business context inside your warehouse so AI agents write correct SQL. See how warehouse-native context works in MotherDuck.
Stream
AI, ML and LLMs
MotherDuck Features
52:23
2026-08-12
Trust the agents you build on your data
Learn how to evaluate AI agents that query your data: run text-to-SQL evals with Braintrust and MotherDuck, read traces, and fix failures with context.
Webinar
AI, ML and LLMs
SQL
Ecosystem
1:00:37
2026-07-28
BI Is Having a Midlife Crisis
Jacob Matson and BI analyst Ryan Dolley on whether AI can replace your BI tool, what it actually solves, and what still needs governance.
Interview
BI & Visualization
AI, ML and LLMs
41:41
2026-07-22
Writing robust data pipelines with AI
AI writes data pipelines in seconds, but green isn't correct. Build robust data pipelines with AI: eyes on data, foundations, tests, and contracts.
Webinar
Data Pipelines
AI, ML and LLMs
MotherDuck Features
41:19
2026-07-14
Streaming Made Easy: Practical Postgres CDC with Streamkap + MotherDuck
Learn when Postgres CDC is worth it, what breaks it (WAL logs, replication slots, schema changes), and see a live Postgres-to-MotherDuck pipeline.
Webinar
Data Pipelines
Ecosystem
AI, ML and LLMs
46:45
2026-06-24
What Makes a Great Data Viz? DiveMaxxing Winners Revealed
What makes a great data visualization in the AI era? Three viz experts judge the DiveMaxxing winners and break down what separates great from busy.
Webinar
BI & Visualization
AI, ML and LLMs
36:45
2026-06-23
From Source to Dashboard: Real Pipelines with Flights
Watch an AI agent build a data pipeline end to end in MotherDuck Flights: ingest, transform, and schedule it, then wire it into a live Dive dashboard.
Webinar
AI, ML and LLMs
Data Pipelines
MotherDuck Features
BI & Visualization
54:22
2026-06-18
DuckDB's agent moment (Jordan Tigani)
Jordan Tigani helped build BigQuery, then left to bet that most data isn't actually big. Three years later, the agent era is making his case for him. In this conversation on The Analytics Engineering Podcast, he and host Tristan Handy talk about how MotherDuck and DuckDB fit together, why a single-node database makes more sense than you'd think for agents, and what it would actually look like to have a swarm of agents managing your data.
YouTube
AI, ML and LLMs
Interview
45:32
2026-06-17
Introducing Flights: Agent-Native Data Pipelines in MotherDuck
See how MotherDuck Flights lets you build and schedule Python data pipelines with an AI agent — from a single prompt to a running ingest pipeline and live dashboard.
Webinar
Data Pipelines
AI, ML and LLMs
MotherDuck Features
Python
28:00
2026-06-02
How MotherDuck Was Born: DuckDB, AI, and the Modern Data Stack | Jordan Tigani & Carly Kiser
MotherDuck CEO Jordan Tigani on how AI is reshaping the modern data stack, why query latency now matters for agents, and the rise of open data formats.
Interview
AI, ML and LLMs
MotherDuck Features
Ecosystem
1:00:00
2026-05-28
How Top E-Commerce Data Teams Drive Revenue with LLMs
See how e-commerce data teams use LLMs and MotherDuck to go from a plain-language business question to a published, interactive analysis in minutes.
Webinar
AI, ML and LLMs
BI & Visualization
47:05
2026-05-26
Data Engineering Is AI Engineering
Jacob Matson refactors a real NBA app with AI agent teams, revealing how data engineering patterns like DAGs and wave planning map directly to agent orchestration.
Webinar
AI, ML and LLMs
Data Pipelines
42:00
2026-05-19
Agentic Data Engineering: Building Pipelines End-to-End with AI
Watch an AI agent build a full data pipeline from scratch: ingestion with DLT, orchestration in Orchestra, staging and snapshots in MotherDuck, and a Dive for visual output.
Webinar
AI, ML and LLMs
Data Pipelines
MotherDuck Features
53:19
2026-05-12
Building a Data Product on MotherDuck: PriceMedic's Path from Raw Data to Revenue
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
AI Data Analysis for Sales & Marketing Teams: Real Demos, No SQL Required
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
A Practical Guide to Context Management for Data Agents
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
Agents That Build Tables, Not Just Query Them
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
Text-to-SQL, Data Modeling for LLMs, MCP, and Dives with Jacob Matson
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
Building an Analytics Chatbot for your SaaS app in 1 day
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
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
0:09:18
2026-01-21
No More Writing SQL for Quick Analysis
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
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
2026-01-13
The MCP Sessions Vol. 1: Sports Analytics
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
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