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Failover

Dataconomy

High availability (HA) considerations High availability remains a critical design consideration in systems architecture. By ensuring that systems are consistently reachable, organizations can further bolster their failover capabilities. This strategic planning is essential for maintaining operational continuity.

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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

The following system architecture represents the logic flow when a user uploads an image, asks a question, and receives a text response grounded by the text dataset stored in OpenSearch. Test the Lambda function Next, test the Lambda function created by the CloudFormation stack by submitting a test event JSON.

AWS 129
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GR00T N1: Nvidia’s next leap in AI-powered robotics

Dataconomy

This announcement took place during Jensen Huang’s keynote at the GTC 2025 event. Nvidia GR00T N1 and its capabilities The Nvidia Isaac GR00T N1 foundation model introduces a dual-system architecture inspired by human cognition. The Newton physics engine is anticipated to be released later this year.

AI 91
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Unlocking the Power of Generative AI with Real-Time Data and Advanced Features

ODSC - Open Data Science

To improve robustness: Use replayable events to compare outputs across prompt iterations. Architectural Design: Real-Time, Event-Driven The system architecture is built on microservices and event-driven principles: Flink AI enables real-time LLM calls, such as summarizing data or generating SQL within the stream.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning Blog

Alternatively, asynchronous choreography follows an event-driven pattern where agents operate autonomously, triggered by events or state changes in the system. In this model, agents publish events or messages that other agents can subscribe to, creating a workflow that emerges from their collective behavior.

AI 98
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Innovating at speed: BMW’s generative AI solution for cloud incident analysis

AWS Machine Learning Blog

It requires checking many systems and teams, many of which might be failing, because theyre interdependent. Developers need to reason about the system architecture, form hypotheses, and follow the chain of components until they have located the one that is the culprit.

AWS 120
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

EventBridge monitors status change events to automatically take actions with simple rules. The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model. At this point, the model status is PendingManualApproval.

ML 133