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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning Blog

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

AI is making a difference in key areas, including automation, language processing, and robotics. Natural Language Processing: NLP helps machines understand and generate human language, enabling technologies like chatbots and translation.

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Introduction to applied data science 101: Key concepts and methodologies 

Data Science Dojo

Statistical analysis and hypothesis testing Statistical methods provide powerful tools for understanding data. An Applied Data Scientist must have a solid understanding of statistics to interpret data correctly. These neural networks can process large amounts of data and identify patterns and correlations.