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
Tens of thousands of polygons made mapping impossible. With spatial AI, teams aggregate data in 2 hours, down from a day.
A worldwide manufacturer of agricultural and construction equipment operating in over 100 countries, managing data ranging from single field-level metrics to global trends.
Ingesting tens of thousands of geospatial polygons daily made it nearly impossible to incorporate basic geographic insights into standard reports....
“Agriculture presents a unique challenge in how varied the data can be. Databricks has been key to helping us unlock valuable insights and build value at scale.”
Agricultural and construction machinery manufacturer and technology provider.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.
Technicians manually pulled SD cards to diagnose pumps. Now, ML flags anomalies remotely, replacing 15-minute physical inspections.
Inconsistent ERP data slowed carbon planning for 8 weeks. AI cleans 300k points to map abatement costs in one week.
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.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.