Photon

4 use cases using this technology

4published use cases

3industries

2countries on record

Predictive Analytics

top AI capability

Evidence mix: High 4 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

4 use cases

TransportationFraud & Anomaly DetectionPredictive AnalyticsNatural Language Processing

Data-powered car-sharing gives people the freedom to drive

GetGo Carsharing, Singapore's largest car-sharing company, migrated to the Databricks Data + AI Platform to unify telemetry, payment and image data from over 300,000 drivers and 3,000 vehicles. Using geospatial analysis and natural language processing, GetGo reduced fuel theft by 50% by detecting fraudulent refueling patterns, accelerated time to insights by 66%, and cut time to market for new data products by 20%.

GetGo Carsharing· SingaporeDatabricks Data + AI Platform · Delta Lake · Unity Catalog +4

ManufacturingDigital Twins & SimulationPredictive AnalyticsComputer VisionLarge Language Models

Shaping global infrastructure with ironclad manufacturing

Gerdau, Brazil's largest steel producer, consolidated a complex homegrown open-source data ecosystem onto the Databricks Data + AI Platform, using Delta Lake, Delta Sharing and Unity Catalog to enable real-time processing for digital twin simulations of production lines. The move cut data processing time from 1.5 hours to 12 minutes, delivered a 40% cost reduction for data processing and 80% faster development of streaming solutions, and enabled new AI applications including predictive maintenance, image and text classification, and an LLM-based upskilling assistant for employees.

Gerdau· BrazilDatabricks Data + AI Platform · Delta Lake · Delta Sharing +4

Financial ServicesFraud & Anomaly DetectionMachine Learning

AME Digital builds a machine learning fraud detection model on Databricks reaching 90% accuracy

AME Digital, a Brazilian fintech digital wallet with over 33 million customers, used Delta Lake, MLflow and Unity Catalog on the Databricks Data + AI Platform to unify over 700 previously siloed datasets and build a fraud detection algorithm that analyzes transactions in real time to flag suspicious behavior before it occurs. The model reached 90% accuracy in fraud prevention, ran 3.2x faster than the prior on-premises pipeline, and helped cut operational costs by 34% and job execution time from 5.5 hours to 50 minutes.

AME Digital· BrazilDelta Lake · MLflow · Unity Catalog +3

Financial ServicesPredictive Analytics

Transforming Data Pipelines to Power Faster Credit Decisions

Capital One's data and engineering teams built a centralized Feature Hub on Databricks, using Photon as the compute engine and Delta Lake as the foundation, to serve as a single environment for historical and operational feature pipelines supporting its credit line increase program and credit decisioning models. The hub curates records across millions of accounts to provide a unified customer view for both modeling and daily decisioning. Capital One reports 60x faster compute performance for large-scale backfills and an 80% decrease in time and cost per job after migrating production pipelines to Databricks, shortening feature development and deployment from prior timelines to weeks.

Capital OnePhoton · Delta Lake