Vector Search

3 use cases using this technology

3published use cases

3industries

0countries on record

Agentic AI

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

3 use cases

Media & EntertainmentAgentic AIConversational AIGenerative AI

Turning 700T Customer Signals into Media Intelligence

MiQ, a global programmatic media partner, built Sigma, an advertising platform on the Databricks Data + AI Platform, to unify more than 700 trillion fragmented customer signals across watching, browsing and buying activity into a single governed intelligence layer. Data flows through a medallion architecture on Delta Lake with Unity Catalog governance, and Databricks SQL serves dashboards, Genie Spaces and agent queries. MiQ built a Planning Agent using two Genie spaces (unified consumer signals and historical campaign data) plus Vector Search to translate natural-language audience descriptions into activation segments, letting non-technical marketers go from audience discovery to media plan recommendations in minutes instead of days. Sigma has powered over 40,000 campaigns for more than 2,300 advertisers since launch, with campaigns returning 2.2x the ROI of standard programmatic campaigns; campaign planning and analysis that once took 6+ hours now takes roughly 5 minutes, and AI-assisted optimization workflows cut storage needs by 50%.

MiQDelta Lake · Unity Catalog · Databricks SQL +3

Technology & SoftwareRetrieval-Augmented GenerationAI Model Development & MLOps

Zapier Powers Real-Time Customer Experiences with Databricks

Zapier unified its data on the Databricks Platform to enable self-serve, AI-powered analytics across product, marketing, sales and support. Using the Databricks MCP connector built on Unity Catalog, AI agents get governed real-time access to Zapier's data; Vector Search handles over 600k requests per day for semantic search and RAG-based knowledge retrieval; MLflow and Model Serving operationalize ML workflows. Dashboard creation time dropped from 2-3 days to a few hours, and the share of data queries executed via AI-assisted workflows grew from 0% to roughly 75% within 6-9 months.

ZapierDatabricks Platform · Databricks MCP connector · Unity Catalog +3

ManufacturingPredictive AnalyticsMachine LearningAgentic AI

TK Elevator: Moving Beyond with Data + AI Driven Service Intelligence

TK Elevator (TKE), one of the world's largest providers of elevators, escalators and vertical transportation systems, adopted the Databricks Platform to unify and process more than 500 million IoT telemetry events daily from connected elevators across 30+ countries, moving from reactive to predictive maintenance. TKE's MAX platform generates predictive insights that feed actionable guidance to field technicians via its Digital Operations Center (DOC), which generates 30,000-40,000 tickets annually and has reduced technician troubleshooting time on call-backs and unplanned shutdowns by up to 20%. The platform scaled from 3 to over 40 markets (10x expansion), cut data pipeline delivery from months to weeks, and reduced data sharing time with internal/external consumers from three months to three days (90% reduction). TKE uses Delta Lake, Delta Sharing, Lakeflow, Unity Catalog, Databricks Assistant, MLflow, AI Gateway, Vector Search and Model Serving, and is exploring agentic AI to combine technical, service and commercial context in real time.

TK ElevatorDelta Lake · Delta Sharing · Lakeflow +6