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NLP, Tools and Technologies and Career Opportunities

Women in Big Data

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. Currently based in Germany, she possesses extensive experience in developing data-intensive applications leveraging NLP, data science, and data analytics.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. RAG starts with an initial step to retrieve relevant documents from a data store (most commonly a vector index) based on the user’s query.

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How to Design an Analytics Stack that Humans Actually Use

Alation

Julie Lemieux is the former Head of User Experience at Databricks and Founding Member of Chief, a private network for senior women leaders. 5 Tips for a Business-Friendly Data Analytics Stack. The below are just a few examples of how to make your data analytics stack approachable and functional for business teams: 1.

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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools. Use case overview Q4 Inc.,

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