Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Schedule: Health and Medicine sessions

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9:0012:30 Tuesday, 30 April 2019
Data Science, Machine Learning & AI
Location: Capital Suite 4
Krishnan Saidapet (REAN Cloud, A Hitachi Vantara company)
Average rating: ***..
(3.43, 7 ratings)
Krishnan Saidapet offers an overview of the latest big data and machine learning serverless technologies from Amazon Web Services (AWS) and leads a deep dive into using them to process and analyze two different datasets: the publicly available Bureau of Labor Statistics dataset and the Chest X-Ray Image Data dataset. Read more.
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14:5515:35 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Eitan Anzenberg (Bill.com)
Average rating: ****.
(4.50, 4 ratings)
Machine learning applications balance interpretability and performance. Linear models provide formulas to directly compare the influence of the input variables, while nonlinear algorithms produce more accurate models. Eitan Anzenberg explores a solution that utilizes what-if scenarios to calculate the marginal influence of features per prediction and compare with standardized methods such as LIME. Read more.
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11:1511:55 Thursday, 2 May 2019
Case studies, Strata Business Summit
Location: Capital Suite 12
Fabio Ferraretto (Accenture), Claudia Regina Laselva (Albert Einstein Jewish Hospital)
Average rating: ***..
(3.33, 3 ratings)
Fabio Ferraretto and Claudia Regina Laselva explain how Hospital Albert Einstein and Accenture evolved patient flow experience and efficiency with the use of applied AI, statistics, and combinatorial math, allowing the hospital to anticipate E2E visibility within patient flow operations, from admission of emergency and elective demands to assignment and medical releases. Read more.