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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Enterprises generate massive volumes of unstructured data, from legal contracts to customer interactions, yet extracting meaningful insights remains a challenge. Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort.

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Ajay Kumar, CEO of SLK Software – Interview Series

Unite.AI

This automation begins with Data Extraction, employing OCR and AI to efficiently process customer emails and extract relevant information. Data Sufficiency Validation ensures that all necessary data is accurately captured, minimizing the risk of errors or omissions.

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Data Blending in Tableau

Pickl AI

Iterate and explore Iterate on your visualizations and explore various perspectives of the blended data. Experiment with different combinations of fields, filters, and visualizations to gain deeper insights and extract actionable intelligence. ’) else: print(‘One or both datasources not found.’)

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

Improved Decision Making: LLMs provide valuable insights from unstructured text data, enabling better decision making in domains like finance, healthcare, and marketing. They can analyze customer feedback, market trends, and industry news to derive actionable intelligence, leading to more informed and data-driven decisions.

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Exploring the Power of Data Warehouse Functionality

Pickl AI

Introduction In today’s data-driven world, businesses are constantly bombarded with information. But raw data alone isn’t enough to gain valuable insights. This is where data warehouses come in – powerful tools designed to transform raw data into actionable intelligence.

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