Drive Greater Business Outcomes with AI and Machine Learning



Symphony Care Network provides post-acute long-term care for people who need rehab after they’re discharged from the hospital. For Symphony, reduced readmissions are key to improving patient care and reducing healthcare costs.

 

In this webinar, hear how Symphony’s small analytics team was able to process vast amounts of patient data, build multiple automated data science models concurrently, evaluate the models and deploy a working readmission machine learning (ML) model in hours. The increase in productivity allowed the team to tackle additional data science projects, and the company gained key insights about the readmission process. Now Symphony has the clarity it needs to make better decisions to ensure its patients’ health.

 

Discover how DataRobot on Amazon Web Services (AWS) helps you leverage Artificial Intelligence (AI) with end-to-end automation for building, deploying, and managing ML models.

 

In this webinar, you'll learn to:

  • Seamlessly prepare data—including Amazon Redshift data—for machine learning modeling
  • Deliver AI and ML at scale and continuously optimize performance
  • Answer complex business questions and make accurate forecasts—regardless of team size

Speaker and Presenter Information

  • Kris Skrinak, PSA, ML Segment Lead, AWS 
  • Duncan Renfrow-Symon, Customer Facing Data Scientist, DataRobot
  • Nathan Patrick Taylor, Chief Information Officer, Symphony Care Network

Relevant Government Agencies

Other Federal Agencies, Federal Government, State & Local Government


Event Type
Webcast


This event has no exhibitor/sponsor opportunities


When
Thu, Nov 5, 2020, 1:00pm ET


Cost
Complimentary:    $ 0.00


Website
Click here to visit event website


Organizer
AWS
DataRobot


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