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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Select the created stack and choose Delete , as shown in the following screenshot.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Thinking refers to an internal reasoning process using the first output tokens, allowing it to solve more complex tasks. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. Gemini 2.5 BigFrames 2.0 offers a scikit-learn-like API for ML.

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CIOs contend with gen AI growing pains

CIO

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said. “A

Airlines 204
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Technology modernization strategy : Evaluate the overall IT landscape through the lens of enterprise architecture and assess IT applications through a 7R framework.

Cloud 147
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12 AI predictions for 2025

CIO

In these uses case, we have enough reference implementations to point to and say, Theres value to be had here.' Weve seen so many reference implementations, and weve done so many reference implementations, that were going to see massive adoption. Now, it will evolve again, says Malhotra. Agents are the next phase, he says.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Software-as-a-service (SaaS) applications with tenant tiering SaaS applications are often architected to provide different pricing and experiences to a spectrum of customer profiles, referred to as tiers. The user prompt is then routed to the LLM associated with the task category of the reference prompt that has the closest match.