Sep 23–26, 2019

Schedule: Health and Medicine sessions

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9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 06
David Boyle (Audience Strategies), Richard Evans (Statistics Canada), Rosaria Silipo (KNIME), Leah Xu (Spotify), Arup Nanda (Capital One), Victoriya Kalmanovich (Navy), Tusharadri Mukherjee (Lenovo), David Boyle (Audience Strategies), Richard Evans (Statistics Canada), Leah Xu (Spotify), Victoriya Kalmanovich (Navy), Moise Convolbo (Rakuten), Martin Mendez-Costabel (Bayer Crop Science), gloria macia (Roche AG), Gwen Campbell (Revibe Technologies), Moise Convolbo (Rakuten), Muhammed Idris (Capria VC | TeraCrunch)
From banking to biotech, retail to government, every business sector is changing in the face of abundant data. Get better at defining business problems and applying data solutions at Strata. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1A 06/07
Every NLP-based document-processing solution depends on converting scanned documents and images to machine readable text using an OCR solution, limited by the quality of scanned images. Nagendra Shishodia, Chaithanya Manda, and Solmaz Torabi explore how GAN can bring significant efficiencies in any document-processing solution by enhancing resolution and denoising scanned images. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 09
The Apache Parquet community is working on a column encryption mechanism that protects sensitive data and enables access control for table columns. Many companies are involved, and the mechanism specification has recently been signed off on by the community management committee. Gidon Gershinsky explores the basics of Parquet encryption technology, its usage model, and a number of use cases. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 3B - Expo Hall
Saif Addin Ellafi (John Snow Labs), Scott Hoch (BlackBox Engineering)
Recruiting patients for clinical trials is a major challenge in drug development. Saif Addin Ellafi and Scott Hoch explain how Deep 6 uses Spark NLP to scale its training and inference pipelines to millions of patients while achieving state-of-the-art accuracy. They dive into the technical challenges, the architecture of the full solution, and the lessons the company learned. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 09
Jeff Zemerick (Mountain Fog)
Hospitals small and large are adopting cloud technologies, and many are in hybrid environments. These distributed environments pose challenges, none of which are more critical than the protection of protected health information (PHI). Jeff Zemerick explores how open source technologies can be used to identify and remove PHI from streaming text in an enterprise healthcare environment. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 14
Brindaalakshmi K (Independent Consultant)
There's a lack of standard for the collection of gender data. Brindaalakshmi K takes a look at the implications of such a lack in the context of a developing country like India, the exclusion of individuals beyond the binary genders of male and female, and how this exclusion permeates beyond the public sector into private sector services. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 12/13
Thiago Ribeiro (Griaule)
Brazil deployed a national biometric system to register all Brazilian voters using multiple biometric modalities and to ensure that a person does not enroll twice. This session highlights how a large-scale biometric system works, and what are the main architecture decisions that one has to take in consideration. Read more.

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