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Activity Number: 455 - Big Data, Technology Platform and Digital Innovation with Measurable Impact
Type: Topic Contributed
Date/Time: Thursday, August 6, 2020 : 10:00 AM to 11:50 AM
Sponsor: Text Analysis Interest Group
Abstract #309921
Title: Big Data, Technology Platform and Digital Innovation with Measurable Impact
Author(s): Siddhartha Dalal* and Mike Henderson* and Joseph Imperato* and Stanislav Kolenikov* and Lourenco Miranda* and Mike Porath* and May Yamada-Lifton*
Companies: Columbia University and SAS and Pfizer and Abt Associates and Society Generale and The Mighty and SAS
Keywords: Artificial Intelligence; Big Data; Real World Data; Data Science; Predictive Analytics; Machine Learning

Big data, real world data and data science have become ubiquitous and essential. Researchers, statisticians, and data scientists are challenged and tasked with leveraging evidence and gaining insights, generated from massive data. Various types of real world data and digital data provide forward-looking opportunities and measurable societal impact, such as health information technology, customer engagement, digital app, web portal, risk compliance, interoperability of data capturing systems & accuracy and reliability of predictive algorithms. This panel session will highlight the opportunities to embrace and meet the challenge arising from big data, real world data and their related disciplines for the real world data applications to gain insights. Specifically, the future of big data and artificial intelligence is discussed. To develop useful algorithms, it is important to understand data generating mechanisms & systems of data generation. We expect this session to have wide appeal, particularly given the increasing focus on interdisciplinary research and the emergence of complex data. The future generation of quantitative researchers and experts in data science & machine learning

Authors who are presenting talks have a * after their name.

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