FMC
Pest prediction
Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.
- 83% increase in deployed ML models
- >50% reduction in model creation person-hours
Stock spoiled when logistics missed strict 3-day windows. A model now aligns deliveries with local weather across 20 countries.
A global sustainable agriculture leader operating in over 138 countries that doubled its size within a four-year period.
Rapid expansion created a fragmented data landscape that hindered accurate forecasting for time-sensitive inventory. Agricultural products often...
“Databricks has enabled us to harness the full potential of our data, driving significant improvements in our products and services, and ultimately supporting our mission of sustainable agriculture.”
Sustainable crop protection products and agricultural technology for global farming.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
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Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.
Siloed data left procurement reactive. A unified model now forecasts raw material prices with 96% accuracy, optimizing inventory.
Data prep for 6 stores took 3 hours. AI processes 209 stores in 50 minutes, catching seasonal trends that moving averages missed.
Patent strategy relied on subjective manual judgment. AI now standardizes analysis, cutting research cycles from months to days.
IT staff logged in every six hours to check 30 systems. GenAI now automates monitoring, saving 3,000 hours and ending downtime risk.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.