Artificial intelligence has become a core technology underlying many modern applications, especially in healthcare, where the techniques provide powerful methods for analyzing large data sets such as medical images, electronic health records and operational data. With the potential to speed the diagnostic process, enable higher quality assessment of multiple conditions, and standardize reproducible decisions, providers, payers, and healthcare companies are seeking to leverage these emerging technologies and close capacity gaps. In this session, we'll explore data strategies and technical use cases related to time series, text, and image data, and discuss the development and implementation of these solutions within Fortune 500 companies.

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