How Cloud can fight a pandemic using Text Analytics and CosmosDB

What is this session about?
Since COVID pandemic started last year, there were more than 400k scientific papers published on the subject. All those papers are available as CORD dataset. We will see how we can use Azure services to make some insights from this dataset, such as most frequently used medicines, their combinations, or changes in strategy of treatment with time. We will use Text Analytics for Health to extract entities and their relations from paper abstracts, store them in Azure Cosmos DB, post-process using Jupyter with SQL queries, and build interactive dashboards with PowerBI.

Who is it aimed at?
Everybody who wants to understand what is the cloud, learn about how to architect and build large data analysis systems, and learn about how technology can help scientific studies.

Why should I attend?
In one session we will review multiple Azure services, and see how they all work together to achieve an important result.

For more on this series, visit https://aka.ms/HigherEdSeriesPg

Speaker info:
Dmitry Soshnikov, Ph.D.| Cloud Developer Advocate, Microsoft
Dmitry is a Microsoft veteran, working for more than 13 years. He started as a Technical Evangelist, and in this role presented on numerous conferences, including twice being on stage with Steve Ballmer. He then worked for 2 years as Senior Software Engineer, helping big European companies to start pilot digital transformation projects based on in AI and ML. As Cloud Developer Advocate, Dmitry focuses on creating educational content and working with academic and research institutions. He is also an Associate Professor at MIPT, HSE and MAI in Moscow, a big fan of functional programming and F#, and a maintainer/primary developer of mPyPl library. In his spare time, Dmitry explores Science Art and Technological Magic, as well as performs Chinese tea ceremonies. He can be reached at http://soshnikov.com.