
Innovative approach combining LLMs and ML for video ad classification, achieving 15% accuracy uplift and scalability to millions of product classes. Enhances real-time insights for ad-intel company Vivvix.

Explore real-time data pipelines and customer data platforms to enhance marketing capabilities, drive customer behavior, and deliver actionable insights for improved customer experiences.

Explore ProSiebenSat1's journey to a unified data lake using Databricks, overcoming challenges in migration, governance, and scalability for BI and AI use cases across diverse systems.

Explore production-grade vector search systems combining unstructured and structured data, with focus on user objectives and feedback loops for improved results in various applications.

Discover time-saving tools for Databricks ecosystem development: SDKs, CLI, Asset Bundles, and VS Code integration. Streamline your workflow from development to production.

Explore Abercrombie & Fitch's journey to proactive data management using contractual data assets, resulting in improved accountability and transparency across the organization.

Unlock unstructured data's value using LLMs while ensuring privacy. Learn how Skyflow developed a privacy-safe RAG model for marketing and documentation, leveraging Databricks, Streamlit, and open-source tools.

Discover how SciCLOps, powered by Databricks Asset Bundles, streamlines ML workflows, enhances standardization, and accelerates onboarding and production time for data teams across engineering, science, and analytics.

Optimize Unity Catalog upgrades with UCX: Minimize disruptions, reduce complexity, and automate tasks. Learn installation, risk assessment, and key component automation for a streamlined process.

Explore AI-driven observability in Databricks' Data Intelligence Platform. Learn to create scalable apps with Plotly Dash, enabling non-technical users to manage workflows and leverage LLMs for data analysis.

Explore Databricks' innovations in data governance for lakehouses, enabling efficient multi-user workloads with Shared Clusters and Unity Catalog while reducing costs and operational complexity.

Discover RAG's potential to enhance AI applications with external knowledge sources. Learn implementation steps using Databricks for more intelligent, context-aware AI solutions.

Explore how 84.51° leverages Delta Live Tables to evolve data flows from batch to streaming, combining real-time and historical data for enhanced retail insights and customer-centric strategies.

Explore SQLMesh, an open-source project revolutionizing data pipeline development with virtual environments, automatic contracts, and accurate change previews for improved efficiency and reliability.

Discover how Corning transformed data analysis using Databricks and AtScale, enhancing scalability, OLAP capabilities, and Excel integration for improved insights and decision-making.

Discover how ABN AMRO built a unified data and AI platform using Databricks, enabling scalable data engineering and AI while ensuring regulatory compliance in banking.

Centralized data management platform for DOE and NNSA projects, enabling researchers to focus on science while efficiently handling data storage, computation, and curation using Databricks and AI.

Explore the symbiosis of data and AI, focusing on high-quality data streams. Learn about AI fundamentals, data's role in model training, and overcoming data management challenges for enhanced decision-making and innovation.

Explore Databricks Workflows for efficient data pipeline orchestration. Learn best practices, serverless jobs, job repair, notifications, event-driven integrations, and effective triggers for optimized data intelligence.

Atlassian's hybrid data strategy combines Databricks and ActionIQ, enabling faster marketing execution, higher-converting audiences, and complex use cases like omnichannel journeys and personalization without sacrificing governance.

ML-based Flood Predictor provides real-time insight into flash flood dangers, enabling better emergency planning and potentially saving lives. Uses U-net model trained on FEMA data paired with terrain information to generate water depth maps.