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Title
Preventatively reducing workplace injuries with data-driven insights
…emo Login Contact Us Try Databricks Customer Stories / StrongArm CUSTOMER STORY Preventatively reducing workplace injuries with data-driven insights Read story 60% Reduction in workplace injury rates $5.3M In gross savings 78% R…
Description
StrongArm Tech uses wearable devices generating roughly 1.2 million data points per day per person, ingested via the Databricks Data + AI Platform with Delta Lake and MLflow, to power machine learning Safety Scores that predict industrial injury risk. This reduced workplace injury rates by 60%, delivered $5.3M in gross savings for one customer, and cut the margin of error for evaluating injury risk by 78% (from 23% to 5%).
StrongArm's goal is to capture every relevant data point—roughly 1.2 million data points per day, per person—to predict injuries
…Preventatively reducing workplace injuries with data-driven insights Read story 60% Reduction in workplace injury rates $5.3M In gross savings 78% Reduction in the margin of error for evaluating inju…
Company
StrongArm Technologies
…ultimately leading to physical damage that can, in worst cases, be irreparable. StrongArm Tech is tackling this problem with wearable devices that track daily motion and activity as well as the wearer’s immediate surroundings. With Databricks, they are able to ingest massive amounts of real time IoT data…
Industry
Manufacturing
…are versions, sensor calibration performance, and more. Share this post Details Industry : Manufacturing Use Case : Data Science , Data Engineering Cloud : AWS Product : Delta Lake , A…
Problem
StrongArm's goal is to capture every relevant data point roughly 1.2 million data points per day, per person to predict injuries and prevent these runaway costs from occurring. With such large volumes of time-series data flowing in real time, they struggled to build reliable and performant ETL pipelines that could scale to meet data science needs.
StrongArm's goal is to capture every relevant data point—roughly 1.2 million data points per day, per person—to predict injuries and prevent these runaway costs from occurring.
…per person—to predict injuries and prevent these runaway costs from occurring. With such large volumes of time-series data flowing in real time, they struggled to build reliable and performant ETL pipelines that could scale to meet data science needs. Maintaining infrastructure also required significant resources, often taking an…
Solution
With the Databricks Data + AI Platform, data engineering, data science and analysts are able to more easily work on the data together. Delta Lake solved their data reliability issues, allowing them to easily ingest real-time IoT data. With data pipelines flowing seamlessly to the data science team, they were able to more easily innovate with machine learning that provides proprietary Safety Scores and classifications of activities to predict risk. MLflow streamlined the entire machine learning lifecycle, to ensure the best models make it to production.
…ata science and the analysts are able to more easily work on the data together. Delta Lake solved their data reliability issues, allowing them to easily ingest real-time IOT data from various sources with ease. With data pipelines flowing seamlessly to the data science team, the data scien…
…, the data science team was able to more easily innovate with machine learning. MLflow streamlined the entire machine learning lifecycle, to ensure the best models make it to production. “Before Databricks, I had no way to structure my data science research project.…
AI capabilities
Predictive Analytics
…With Databricks, they are able to ingest massive amounts of real time IoT data for downstreaming machine learning that provides proprietary Safety Scores and classifications of activities to predict risk, resulting in a smarter, safer environment: StrongArm has been able to reduce i…
Technology
Delta Lake, MLflow
…, the data science team was able to more easily innovate with machine learning. MLflow streamlined the entire machine learning lifecycle, to ensure the best models make it to production. “Before Databricks, I had no way to structure my data science research project.…
Deployment model
AWS
…ost Details Industry : Manufacturing Use Case : Data Science , Data Engineering Cloud : AWS Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…
Deployment options
cloud
…ost Details Industry : Manufacturing Use Case : Data Science , Data Engineering Cloud : AWS Product : Delta Lake , Agent Bricks Ready to get started? Try Databricks for fr…
Headline outcome
…Preventatively reducing workplace injuries with data-driven insights Read story 60% Reduction in workplace injury rates $5.3M In gross savings 78% Reduction in the margin of error for evaluating inju…
Use case type
Predictive operations
…With Databricks, they are able to ingest massive amounts of real time IoT data for downstreaming machine learning that provides proprietary Safety Scores and classifications of activities to predict risk, resulting in a smarter, safer environment: StrongArm has been able to reduce i…
