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 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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