Demystifying Databricks AI Coworker (w/ Youssef Mrini)

LIVESTREAM DATE/TIME 📅

September 11th - 9:30 AM (Pacific Time)

DESCRIPTION 📄

As enterprise AI transitions from basic conversational interfaces to context-aware execution, AI coworkers are redefining how organizations interact with their data ecosystem.

In this session, we demystify the paradigm of Databricks AI Coworker and examine how agentic workflows adapt to diverse operational needs, from plain-language business automation and decision support to code-first data engineering and developer pipelines.

GUEST BIO (Youssef Mrini) 👤

Youssef Mrini is a Developer Advocate at Databricks focused on empowering teams to build on the Databricks Data+AI Platform. His work centers on the Databricks Ecosystem such as AI/BI, Unity Catalog, Delta Lake, and native agentic workflows like Genie. Youssef produces deep-dive technical tutorials, and production-ready guidance dedicated entirely to maximizing value on Databricks.

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Building to Teach: AI-Assisted Tools for Data Viz Education (w/ Ben Ferry)

LIVESTREAM DATE/TIME 📅

September 4th, 2026 - 9:30 AM (Pacific Time)

DESCRIPTION 📄

What if you could use your own expertise and AI to build a tool that didn't exist yet? Ben did exactly that.

He built Ferry Tales Studio, a browser-based Vega-Lite chart editor for Power BI and Deneb users, using Claude Code to design, iterate, and ship something genuinely useful. In this live demo, Ben walks through the tool and explains why he built it: to give people a hands-on way to learn data visualisation by doing.

The takeaway: you don't need to be a software engineer to build tools that teach.

GUEST BIO (Ben Ferry) 👤

Ben Ferry is a Senior Analytics Consultant at Solita Germany with a passion for data visualisation and making it more accessible. Through Power BI Ferry Tales, he creates content and tools to help the data community grow. Ferry Tales Studio, built with Claude Code, is his latest example of how practitioners can use AI to ship real, useful products without a traditional engineering background.

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Building Operational Systems on Databricks (with Andre Landgraf)Building Operational Systems on Databricks - with Andre Landgraf

LIVESTREAM DATE/TIME 📅

June 26th: 9:30 AM (Pacific Time)

DESCRIPTION 📄

There are two broad categories of systems: analytical systems and operational systems. Databricks is primarily known for the former. It’s an OLAP platform where organizations ingest, manage, analyze, and derive value from their data. This includes everything from business intelligence and analytics to machine learning models, AI workloads, and data pipelines.

The resulting insights, predictions, and AI-generated outputs need to flow back into operational systems that can act on them, whether that's powering an internal tool or personalizing a customer experience. This is even more true in the age of AI, where this data becomes context for agents. To make that possible, we need ways to channel analytical data back into operational systems (data apps, AI agents, and more).

In this session, I’ll give an overview of the Databricks capabilities that help operationalize analytical data. We’ll look at services such as Databricks Apps, Lakebase, and other platform components that enable you to build operational and agentic applications directly within your Databricks workspace. Let's vibe code an app from scratch and cover practical vibe coding best practices while integrating data from your lakehouse.

GUEST BIO (Andre Landgraf) 👤

Andre is a passionate developer from Germany who loves building for the web. Based in the Bay Area, he is a Staff Developer Advocate at Databricks. He was previously a Senior Software Engineer at LinkedIn and holds master’s degrees in Information Systems and Computer Science. In his free time, he brings the community together through All Things Web events in San Francisco.

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Curiosity, Creativity, and Chemistry: How I Stopped Copiloting and Started Collaborating - with James Bartlett

LIVESTREAM DATE/TIME 📅

June 11th 2026 - 9:30 AM (Pacific Time)

DESCRIPTION 📄

Most people use AI assistants like fancy search engines, and the results often leave much to be desired. But James Bartlett isn't most people. He has a personal AI agent named Cray, whom he treats more like a junior colleague, and they have racked up some interesting and impressive achievements together. Cray runs 24/7 on James's home server, managing scheduled jobs, helping James with otherwise boring and repetitive tasks, and building dozens of tools (including an entire PowerShell MCP framework) during unsupervised nightly "innovation sessions."

In this conversation with Reid Havens, James pulls back the curtain on what daily life with an AI partner actually looks like: the good, the weird, the genuinely useful, the unexpectedly wholesome, and the parts that honestly still need some work. If you've wondered what's beyond "prompt engineering," this is that conversation.

GUEST BIO (James Bartlett) 👤

James D. Bartlett III is a Microsoft Data Platform MVP, co-host of The Drill Down with Ahmad & James podcast, and an unapologetic PowerShell enthusiast. By day, he helps organizations wrangle Microsoft Fabric and Power BI at P3 Adaptive, and by night, he tinkers with open-source software projects, home automation, vintage audio gear, local LLMs, and an AI agent named Cray who lives on his LAN and builds handy tools while he sleeps.