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

AWS Machine Learning Blog

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. Amazon Bedrock Data Automation automates video, image, and audio analysis, making DAM more scalable, efficient and intelligent.

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Evaluate and improve performance of Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Implement metadata filtering , adding contextual layers to chunk retrieval. For code samples for metadata filtering using Amazon Bedrock Knowledge Bases, refer to the following GitHub repo. In your RetrieveAndGenerate (or Retrieve ) request, modify "retrievalConfiguration": { "vectorSearchConfiguration": { "numberOfResults": NUMBER }}.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. This includes file type verification, size validation, and metadata extraction before routing to Amazon Textract.

DevOps 69
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Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints

AWS Machine Learning Blog

Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future.

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Data Blending in Tableau

Pickl AI

Experiment with different combinations of fields, filters, and visualizations to gain deeper insights and extract actionable intelligence. What is the purpose of using metadata in tableau? Iterate and explore Iterate on your visualizations and explore various perspectives of the blended data. When is blending used in tableau?

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A Comprehensive Guide to the main components of Big Data

Pickl AI

For instance, Netflix uses diverse data types—from user viewing habits to movie metadata—to provide personalised recommendations. Organisations must focus on transforming raw data into actionable intelligence that drives decision-making. Velocity Velocity pertains to the speed at which data is generated and processed.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

For instance, Netflix uses diverse data types—from user viewing habits to movie metadata—to provide personalised recommendations. Organisations must focus on transforming raw data into actionable intelligence that drives decision-making. Velocity Velocity pertains to the speed at which data is generated and processed.