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Amazon Bedrock AgentCore Generates PowerPoint Presentations in Under 90 Seconds

2 reports1 sources10/20/2026 updated

Current overview (not historical)

AI overview

Amazon Bedrock AgentCore now offers a feature that automatically creates PowerPoint presentations using its Supervisor Agent and Strands framework. In internal tests, the system can produce a complete deck—retrieving information from a knowledge base, generating content, creating images, and assembling the file—in less than 90 seconds. The goal is to enable finance teams and other users to convert quarterly reports, compliance documents, and market analyses into ready‑to‑present slides without manually reviewing hundreds of pages of text.

Written with AI from the reporting · updated 10/20/2026

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New at this step ·AtScale Builds a Dimensional Semantic Layer for Agentic AI on AWS

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Event developments

2 developments
  1. 10/14/2026, 10:23:01 PM

    AWS demonstrates automated presentation generation using Amazon Bedrock AgentCore

    AWS Machine Learning Blog

  2. 10/21/2026, 12:34:11 AM

    AtScale Builds a Dimensional Semantic Layer for Agentic AI on AWS

    AWS Machine Learning Blog

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  1. 1Oct 14, 00:00recorded Oct 14, 22:23single source

    Generate presentations with Amazon Bedrock AgentCore

    Read original source ↗ AWS Machine Learning BlogReplay this moment in the explorer
  2. 2Oct 21, 00:34single sourcereport-time only

    在 AWS 上使用 AtScale 和 Amazon Bedrock AgentCore 构建语义层以支持智能体 AI

    Read original source ↗ AWS Machine Learning BlogReplay this moment in the explorer

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First-party sources · 2 reports

  • AWS Machine Learning Blog · Oct 20, 23:33
    AtScale Builds a Dimensional Semantic Layer for Agentic AI on AWS

    AtScale introduces a dimensional semantic model on AWS, replacing graph‑based layers used in earlier posts. The model, defined in the open Semantic Modeling Language (SML) and versioned in Git, is exposed via SQL, XMLA, and the Model Context Protocol (MCP). A Strands agent on Amazon Bedrock AgentCore queries this layer, with identity and role‑based access control propagated through AgentCore’s identity features. The solution is deployed on Amazon EKS using AtScale’s Helm chart.

    Read original source ↗
  • AWS Machine Learning Blog · Oct 14, 21:58
    AWS demonstrates automated presentation generation using Amazon Bedrock AgentCore

    A financial services team automated the creation of client PowerPoint presentations from quarterly reports and compliance documents using an AI agent system built on Amazon Bedrock AgentCore. This workflow, orchestrated by a supervisor agent using the Strands Agents framework, was completed in under 90 seconds in internal testing. The solution integrates Anthropic Claude Sonnet 4.6 for content, Amazon Titan Text Embeddings v2 for vector search via Amazon OpenSearch Serverless, and Stability AI Stable Image Inpaint for visuals, secured with Amazon VPC, AWS KMS, and IAM.

    Read original source ↗

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Oct 20
  1. AWS Machine Learning BlogSelected
    AtScale Builds a Dimensional Semantic Layer for Agentic AI on AWS

    AtScale introduces a dimensional semantic model on AWS, replacing graph‑based layers used in earlier posts. The model, defined in the open Semantic Modeling Language (SML) and versioned in Git, is exposed via SQL, XMLA, and the Model Context Protocol (MCP). A Strands agent on Amazon Bedrock AgentCore queries this layer, with identity and role‑based access control propagated through AgentCore’s identity features. The solution is deployed on Amazon EKS using AtScale’s Helm chart.

Oct 14
  1. AWS Machine Learning Blog
    AWS demonstrates automated presentation generation using Amazon Bedrock AgentCore

    A financial services team automated the creation of client PowerPoint presentations from quarterly reports and compliance documents using an AI agent system built on Amazon Bedrock AgentCore. This workflow, orchestrated by a supervisor agent using the Strands Agents framework, was completed in under 90 seconds in internal testing. The solution integrates Anthropic Claude Sonnet 4.6 for content, Amazon Titan Text Embeddings v2 for vector search via Amazon OpenSearch Serverless, and Stability AI Stable Image Inpaint for visuals, secured with Amazon VPC, AWS KMS, and IAM.