Data Lake / Data Warehouse Modernization · Real-time Analytics · Security and Compliance
FMC is harnessing the power of science to address agriculture's most significant challenges, protecting crops from the devastating impact of insect pests. And while data is critical to their business, the challenge isn’t big data; it’s having the right data when and where it’s needed.
Reported impact
FMC Corporation achieved measurable business impact on Databricks, including 83% Higher model velocity — from 18 models to 33*; 50% Fewer person-hours are now required for model development*.
Delivering the right data at the right time is critical for FMC to help growers anticipate and respond to changing conditions — especially when it comes to protecting crops from pests. However, the team faced bottlenecks with legacy systems and architectures, which at times slowed the delivery of insights. FMC’s data scientists were developing promising pest prediction models, but getting those models into production was fragmented. Each team operated independently with its own pipelines and environments, making it difficult to scale results and turn AI insights into real-time data for growers. These challenges came to a head as FMC sought to expand its use of Artificial Intelligence (AI) in the field.
IoT telemetry and operational data lands in Databricks and is transformed into curated datasets
50% Fewer person-hours are now required for model development*
83% Higher model velocity — from 18 models to 33*
Delivering the right data at the right time is critical for FMC to help growers anticipate and respond to changing conditions — especially when it comes to protecting crops from pests.
FMC is harnessing the power of science to address agriculture's most significant challenges, protecting crops from the devastating impact of insect pests.
“Before Databricks, everyone was working in their own IDE, with little standardization or collaboration.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
FMC Corporation employs more than 6,000 people worldwide.
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