article thumbnail

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. Built with responsible AI, Amazon Bedrock Data Automation enhances transparency with visual grounding and confidence scores, allowing outputs to be validated before integration into mission-critical workflows.

article thumbnail

Evaluate and improve performance of Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

The Amazon Bedrock evaluation tool provides a comprehensive assessment framework with eight metrics that cover both response quality and responsible AI considerations.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Ajay Kumar, CEO of SLK Software – Interview Series

Unite.AI

In the Engineer phase, EverythingAI TM transforms concepts into scalable solutions, integrating AI into core operations through AI and Data Architecture, GenAI Development, and AI/ML Modeling. Meanwhile, PeakPerform focuses on optimizing Application and Infrastructure Managed Services using AI and ML technologies.

article thumbnail

Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

This knowledge base allows the models to understand and respond based on the companys unique terminology, products, and processes, enabling deeper analysis and more actionable intelligence from customer interactions.

article thumbnail

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.