Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical references

Favorite Marketing teams face major challenges creating campaigns in today’s digital environment. They must navigate through complex data analytics and rapidly changing consumer preferences to produce engaging, personalized content across multiple channels while maintaining brand consistency and working within tight deadlines. Using generative AI can streamline and accelerate the creative

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Shared by AWS Machine Learning February 5, 2026

Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent

Favorite Performing research and clinical analytics on vast amounts of clinical data can be difficult. Healthcare data scientists and epidemiologists possess deep domain expertise in patient care, disease patterns, and clinical outcomes, yet they often spend weeks navigating complex data infrastructures, writing boilerplate code, and wrestling with technical barriers before

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Shared by AWS Machine Learning February 4, 2026

AI agents in enterprises: Best practices with Amazon Bedrock AgentCore

Favorite Building production-ready AI agents requires careful planning and execution across the entire development lifecycle. The difference between a prototype that impresses in a demo and an agent that delivers value in production is achieved through disciplined engineering practices, robust architecture, and continuous improvement. This post explores nine essential best

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Shared by AWS Machine Learning February 4, 2026

Use Amazon Quick Suite custom action connectors to upload text files to Google Drive using OpenAPI specification

Favorite Many organizations need to manage file uploads across different cloud storage systems while maintaining security and compliance. Although Google Drive provides APIs for integration, organizations often don’t have the technical experts to interact with these APIs directly. Organizations need an intuitive way to handle file uploads using natural language,

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Shared by AWS Machine Learning February 4, 2026

How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

Favorite This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and prescription refills to billing inquiries and urgent medical concerns, practices face the challenge of providing timely responses while maintaining

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Shared by AWS Machine Learning February 3, 2026

Advancing AI benchmarking with Game Arena

Favorite We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard. View Original Source (blog.google/technology/ai/) Here.