Leveraging AI for Real-Time COVID-19 Discovery to Improve Clinical Outcomes
Leveraging AI for Real-Time COVID-19 Discovery to Improve Clinical Outcomes
What you'll learn
During this session we will share our insights about the following processes and Machine Learning algorithms used in each:
- Data pre-processing steps using Kafka, Flink, and Aerospike
- Data post-processing steps using Python, NLTK and Spacy Natural Language Processing Libraries
- Data visualizations using Python, R Studio and Vertica
Theresa Melvin
Global Chief Architect, BD/AI Solutions
HPE
Bio info: Theresa Melvin, J.D., serves as Chief Architect of AI-Driven Big Data Solutions for HPE's Open Source Profession and...
Theresa Melvin, J.D., serves as Chief Architect of AI-Driven Big Data Solutions for HPE's Open Source Profession and Worldwide Solutions Group. After years of custom consulting, she joined HPE in 2012, and eventually rose to lead the technical team that created HPE's Open Source Solutions Program. Speaking several languages and possessing an array of degrees and technical mastery certifications, Ms. Melvin develops End-to-End AI-Driven solutions founded on Open Source and Community Supported Software. These solutions assist the hyperscale and extreme-scale market in significantly reducing their infrastructure footprint while meeting their sub-second Service Level Requirements, at the best price-point possible.
Details
Event Type : On Demand
Date : Jul 22, 2020 01:00 PM CT
Cost : Complimentary
Credits : CPHIMS, CAHIMS
Speaker(s) : Theresa Melvin
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