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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 106
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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

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 a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 102
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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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Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents

AWS Machine Learning Blog

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. These data points are used to inform a decision based on the company’s internal loan policies.

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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. 8,45000 Database management, programming (e.g., Adopting agile risk management frameworks.

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Meet the winners of Phase 1 of the PREPARE Challenge

DrivenData Labs

Winning teams included individuals with expertise in computer science, engineering, biomedical informatics, neuroscience, psychology, data science, sociology, and various clinical specialties. student in Computer Science and Engineering at SUNY Buffalo. Wei Bo is a third-year Ph.D. She received an M.S.