AWS Machine Learning Blog
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
AWS AppSync Events: Your New AI Gateway Without Extra Headaches
If you've ever tried to wire up streaming responses from GPT-4 to your frontend, you know how painful it is.
Totogi and Amazon Bedrock: how AI replaces support department in telecom
Imagine a typical workday for an engineer at a major telecom operator. The inbox is flooded with requests to change tariffs, add new features, or fix billing errors.
CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents
In the dynamic world of digital advertising, speed and accuracy of data analysis are critical. CLICKFORCE, an innovative company in advertising technology, faced a challenge: manual data analysis…
PDI implemented enterprise-class RAG system on AWS: experience
PDI Technologies, a global leader in retail and wholesale fuel technology, has successfully implemented an enterprise-grade RAG (Retrieval-Augmented Generation) system based on Amazon Web Services…
Multi-Agent Systems on Llama 4 and Bedrock for Video Analysis
Modern data processing tasks require increasingly complex and flexible solutions. In particular, for video content analysis, where it is necessary to account for multiple factors and perform diverse…
Bunq Automates 97% of Customer Support with Amazon Bedrock
The Dutch neobank Bunq has made a breakthrough in customer support by implementing an AI assistant called Finn, built on Amazon Bedrock.
Amazon Bedrock AgentCore: Agents That Learn from Experience
Amazon introduced AgentCore, a new architecture within Bedrock designed to radically improve agents' learning and adaptation capabilities.
Thomson Reuters Automates Support with Amazon Bedrock AgentCore
Thomson Reuters, one of the largest providers of information services for business and professionals, has announced the successful implementation of an automated support system based on Amazon…
Palo Alto Networks Enhances Device Security with Amazon Bedrock
Palo Alto Networks' Device Security team sought early detection of potential issues in production environments to provide security experts more time for response.