State Health Care IT Connect
Operationalizing AI at speed and scale for COVID and beyond
Government agencies in healthcare are turning towards artificial intelligence (AI) and machine learning (ML) to make more informed decisions. However, they struggle to build and operationalize the right ML models quickly.
On October 22, we joined Infosys and Couchbase to discuss how government agencies can operationalize AI/ML at speed & scale for COVID & beyond.
In the webinar, Dr. Suman De (Infosys Public Services), Idris Motiwala (Couchbase), and Daniel Parton (Tangent Works) outlined how AI can help government agencies improve outcomes across program areas like population health management social benefits, child welfare, transportation safety, and epidemic management, and how an automated data-science approach can accelerate AI adoption.
They also demonstrated how government agencies can build new and repeatable ML models, within minutes, to:
• Predict COVID transmission rates based on building occupancy,
• Forecast safe return to work scenarios in COVID times,
• Predict COVID patient mortality rate.
View the recording of this insightful webinar here
If you would like to know more about the automated data-science approach and how it is helping agencies turn data into actions faster, please feel free to reach out to us at firstname.lastname@example.org.