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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 100
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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Data When it comes to AI, it always comes down to input data. Data silos and legacy systems that wouldn’t allow their consolidation are big hurdles to AI research in any domain. In the pharmaceutical industry, the problem may be even more pronounced.

AI 139
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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Steven Wu is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, with his primary appointment in the Software and Societal Systems Department, and affiliated appointments with the Machine Learning Department and the Human-Computer Interaction Institute. What motivated you to participate? :

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Data Intelligence empowers informed decisions

Pickl AI

Marketing Targeted Campaigns Increases campaign effectiveness and ROI Data silos leading to inconsistent information. Implementing integrated data management systems. Implementing transparent data privacy policies. Social Media Analytics Analyses sentiment and improves brand perception Handling unstructured data.