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Lakeflow Jobs

38 use cases using this technology

38published use cases
14industries
9countries on record
Predictive Analytics
top AI capability

Evidence mix: High 38 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

38 use cases

RetailRecommendation & PersonalizationPredictive Analytics

Ahold Delhaize trains ML models for personalization and inventory forecasting across brands

Ahold Delhaize, one of the world's largest food retail groups (7,452+ stores across multiple countries), built a self-service data platform on Databricks Lakeflow Jobs and Auto Loader that lets data engineers across its brands build pipelines for AI/ML needs. Etos uses the platform for machine learning and model training for personalization and inventory forecasting; Albert Heijn's ML engineering team uses Lakeflow Jobs to orchestrate feature engineering and continuous ML model training/retraining pipelines. The platform runs about 1,165 data ingestion jobs daily, cut deployment time 4.5x (1.5 hours to 20 minutes), and reduced costs by 50% through cluster reuse.

Ahold DelhaizeLakeflow Connect · Lakeflow Jobs · Spark Declarative Pipelines +3
HealthcareGenerative AI

BAYADA Builds a Unified, AI-Ready Platform for Compassionate Care

BAYADA Home Health Care is consolidating three separate legacy data platforms (multiple practice management systems, an on-prem ODS, and Snowflake) and 65+ enterprise data sources into a single Databricks Lakehouse under its Data Modernization program, using medallion tiers, Lakeflow Jobs, Asset Bundles, and Unity Catalog governance. As part of the migration, BAYADA uses an LLM-powered code converter and Databricks Assistant to automate SQL and stored-procedure translation, and applies a machine learning-based data mastering accelerator to create golden Client, Payor, Candidate, and Referrer records. BAYADA reports roughly 30% better workload performance and cost efficiency versus its prior Snowflake environment, and is laying a governed foundation for AI agents supporting payroll validation, compliance monitoring, and operational insights, separately from its roadmap for AI-assisted chart review and risk prediction.

BAYADA Home Health CareDatabricks SQL · Lakeflow Jobs · Unity Catalog +1
Financial ServicesPredictive AnalyticsConversational AIAgentic AI

Delivering One Highstreet Experience Through Connected Data and Intelligence

Highstreet Insurance Partners, an insurance brokerage that has grown through partnerships with more than 200 independent agencies, built Ora, a proprietary unified digital intelligence platform on Databricks that combines trusted data, analytics, intelligent automation and AI. Ora manages more than 49 billion data points spanning client, policy and carrier history for roughly 500,000 active client relationships. Highstreet built a knowledge graph connecting clients, policies, coverages, documents, and communications to ground AI agent recommendations, uses Unity Catalog for governance across data and ML assets, and Databricks Model Serving to run machine learning models that surface renewal-likelihood scores and cross-sell opportunities. Highstreet reduced the time to onboard a new agency partner's data into Ora from as much as six months to less than two weeks, and increased daily data refresh success from 35% to more than 95% after re-engineering Ora's data foundation with Lakeflow pipelines and Delta Lake.

Highstreet Insurance Partners· United StatesUnity Catalog · Delta Lake · Lakeflow Jobs +2