AWS Machine Learning Blog
MARCH 20, 2025
The benefits of using Amazon Bedrock Data Automation Amazon Bedrock Data Automation provides a single, unified API that automates the processing of unstructured multi-modal content, minimizing the complexity of orchestrating multiple models, fine-tuning prompts, and stitching outputs together.
AWS Machine Learning Blog
FEBRUARY 10, 2025
Appian uses the robust infrastructure of Amazon Bedrock and Anthropics Claude LLMs to offer fully integrated, pre-built generative AI skills that help developers enhance and automate business processes using low-code development. Text and data extraction : Organizations generate mountains of data and documents.
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Unite.AI
OCTOBER 25, 2024
The platform revolutionizes the quoting process for businesses by utilizing advanced AI technologies to automate what has traditionally been a labor-intensive and error-prone task. This automation begins with Data Extraction, employing OCR and AI to efficiently process customer emails and extract relevant information.
AWS Machine Learning Blog
FEBRUARY 5, 2025
serves as a placeholder in Colang, signaling where data extraction or inference is to be performed. The comment accompanying this line sheds more light on the intended data extraction process: #extract the specific pet type at very high level if available, like dog, cat, bird. The ellipsis (.
Towards AI
SEPTEMBER 26, 2024
By integrating ethical guidelines and transparency into their data collection processes, businesses can maintain responsible AI practices and build trust with their users and stakeholders. With options for customizable and real-time data access, their solutions adapt to evolving data requirements.
NOVEMBER 27, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon using a single API. In this step we use a LLM for classification and data extraction from the documents.
AWS Machine Learning Blog
AUGUST 1, 2024
Manual data extraction and analysis can slow down the workflow, leading to longer processing times and lower customer retention. Errors in data interpretation or inconsistencies in applying guidelines can result in incorrect risk assessments, premium leakage, and lost customers for the insurer.
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