Company Size
11-200
Region
- America
Country
- United States
Product
- DataRobot AI Cloud
- AutoML
- Automated Time series
Tech Stack
- Machine Learning
- Predictive Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Maintenance
- Remote Patient Monitoring
Services
- Data Science Services
About The Customer
Decode Health is a healthcare AI company that serves as the outsourced innovation team to organizations ranging from diagnostic companies to pharma. The company helps its partners quickly and cost-effectively unlock discoveries using their data. Current projects include genomic data creation, RNA diagnostics, and population health analytics. The work of Decode Health is predictive, proactive, and extensible to the ever-evolving healthcare ecosystem. Over the course of a decade, the team leading Decode has built a framework leveraging a variety of tools, including advanced machine learning approaches, to deliver accurate results.
The Challenge
Decode Health, a healthcare AI company, has always relied on predictive analytics to unlock discoveries using data. However, in the early days, modeling was a slow, manual task. Analyzing a single dataset could take two to three weeks, with two to three data team members working around the clock. This exhaustive manual effort included considerable time preparing data, waiting on models, recalibrating, and waiting again. The company needed a solution that could streamline this process and deliver accurate results more quickly and cost-effectively.
The Solution
Decode Health turned to DataRobot AI Cloud for automated machine learning to help predict health outcomes and drive more proactive, less costly care. DataRobot AI Cloud streamlines predictive analytics end to end, freeing the team to focus more strategically on data elements and understanding outcomes. With DataRobot AI Cloud, the company enhanced its framework with automated machine learning that streamlines predictive analytics end to end. In the past, a comprehensive analysis of a single dataset could take weeks, with multiple data team members working around the clock; now, they complete the same task in a matter of days.
Operational Impact
Quantitative Benefit
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