Ivan Trusov

The factory floor, the assembly line and the supply chain have always been defined by precision, and now artificial intelligence is raising the bar. Join fellow manufacturing and automotive leaders for a deep dive into how Databricks' Data Intelligence Platform is powering the next era of Industrial AI. From real-time sensor data to unified lakehouses that eliminate data silos, discover how the world’s most complex industrial operations are turning raw data into competitive advantage. This forum will explore the critical imperatives reshaping the industry: predictive and prescriptive maintenance that reduces unplanned downtime, AI-driven quality inspection, connected vehicle analytics, supply chain resilience, and the convergence of OT and IT data. Databricks brings together the governance, scalability, and open ecosystem needed to move from pilot to production across every plant, line, and model. Hear directly from industry innovators who are already leading the transformation and leave with actionable frameworks for deploying Industrial AI at scale.

Organizations are moving beyond simple dashboards to interactive, secure Data & AI applications built directly where their data lives. This session provides a technical deep dive into Databricks Apps, exploring how to transform complex AI logic into production-ready business tools. We will cover the essential architectural choices for developers, including a comparison of Pythonic frameworks like Streamlit and Gradio versus full-stack JS/TS implementations. The discussion will focus on the end-to-end development lifecycle, teaching you how to master authentication via Service Principals and On-Behalf-Of (OBO) tokens, and how to implement robust production workflows using Databricks Asset Bundles (DABs). Additionally, we will share best practices for optimizing performance and scalability—such as using async operations—and ensuring enterprise-grade observability through diagnostic logging and audit trails

Want to learn how to build your own custom data intelligence applications directly in Databricks? In this workshop, we’ll guide you through a hands-on tutorial for building a Streamlit web app that leverages many of the key products at Databricks as building blocks. You’ll integrate a live DB SQL warehouse, use Genie to ask questions in natural language, and embed AI/BI dashboards for interactive visualizations. In addition, we’ll discuss key concepts and best practices for building production-ready apps, including logging and observability, scalability, different authorization models, and deployment. By the end, you'll have a working AI app—and the skills to build more.

Want to learn how to build your own custom data intelligence applications directly in Databricks? In this workshop, we’ll guide you through a hands-on tutorial for building a Streamlit web app that leverages many of the key products at Databricks as building blocks. You’ll integrate a live DB SQL warehouse, use Genie to ask questions in natural language, and embed AI/BI dashboards for interactive visualizations. In addition, we’ll discuss key concepts and best practices for building production-ready apps, including logging and observability, scalability, different authorization models, and deployment. By the end, you'll have a working AI app—and the skills to build more.

In this deep-dive technical session, Ivan Trusov (Sr. SSA @ Databricks) and Giran Moodley (SA @ Databricks) — will explore the full-stack development of Databricks Apps, covering everything from frameworks to deployment. We’ll walk through essential topics, including: - Frameworks & tooling — Pythonic (Dash, Streamlit, Gradio) vs. JS + Python stack - Development lifecycle — Debugging, issue resolution and best practices - Testing — Unit, integration and load testing strategies - CI/CD & deployment — Automating with Databricks Asset Bundles - Monitoring & observability — OpenTelemetry, metrics collection and analysis Expect a highly practical session with several live demos, showcasing the development loop, testing workflows and CI/CD automation. Whether you’re building internal tools or AI-powered products, this talk will equip you with the knowledge to ship robust, scalable Databricks Apps.