Browse Mergen content

A music streaming service rebuilt personalization on Google Vertex AI. Skip-rate down 18%; daily active listening time up 24%.

A utility-scale solar developer built asset-management across 240 active projects. Asset availability up 4 points; per-MW O&M cost down 22%.

A wind-farm operator deployed ML-driven yield-optimization models across 80 farms. Annual energy production up 6%; per-MWh cost down 14%.

A sporting goods retailer rebuilt inventory allocation with ML across 180 stores. Stockout-driven lost sales down 32%; markdowns down 18%.

An oil & gas major built an Azure-based upstream telemetry platform covering 2,400 wells. Predictive-failure detection up 6× pre-deployment.

A 30-page playbook for energy-sector transformation — renewable-energy integration, OT/IT convergence, and grid-scale analytics.

A streaming media platform built ML-driven personalization on Google Vertex AI. Watch time per session up 22%; subscriber churn down 11%.

An automotive OEM built a connected-vehicle data platform on Azure ingesting telemetry from 4M vehicles. Predictive-maintenance models cut warranty claims 24%.

A global reinsurer rebuilt catastrophe modelling on Snowflake + Google Vertex AI. Model run-time reduced 14×; new exposure analysis turnaround days → hours.

Predictive maintenance pilots are everywhere. Production deployments are rare. Three patterns that scale.