Remove Explainability Remove IDP Remove ML
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Streamline financial workflows with generative AI for email automation

AWS Machine Learning Blog

This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. Data summarization using large language models (LLMs).

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Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

Flipboard

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler. Configure Snowflake.

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Aditya K Sood, VP of Security Engineering and AI Strategy, Aryaka – Interview Series

Unite.AI

AI/ML models continuously evolve, enhancing their accuracy in detecting and circumventing the impacts of advanced persistent threats (APTs) and zero-day vulnerabilities. AI Observe utilizes AI/ML algorithms to trigger security incident notifications based on the severity calculated using various parameters and variables for decision-making.

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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning Blog

Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.

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Effectively use prompt caching on Amazon Bedrock

AWS Machine Learning Blog

n - Use clear and simple language, avoiding jargon unless it's necessary and explained." "nn4. n - Provide any partial information that is available, and explain what additional information would be needed to give a complete answer." "n Explains different logging configuration practices for AWS Network Firewall [1]n2.

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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

ODSC - Open Data Science

With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases. marketing materials, newspaper clips, and the list goes on.

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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning Blog

Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data. Give an explantion on why each tool was used and if you are not using a tool, explain why it was not used as well" + "Think step by step.")