<?xml version="1.0" encoding="UTF-8"?>
<!--generator='jetpack-16.2-a.1'-->
<!--Jetpack_Sitemap_Buffer_News_XMLWriter-->
<?xml-stylesheet type="text/xsl" href="//algoret.com/news-sitemap.xsl"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd">
 <url>
  <loc>https://algoret.com/2026/08/20/introducing-cross-region-inference-for-openai-gpt-5-6-models-on-amazon-bedrock/</loc>
  <lastmod>2026-08-20T21:46:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock</news:title>
   <news:publication_date>2026-08-20T21:46:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/20/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-1-setting-up-your-snowflake-environment/</loc>
  <lastmod>2026-08-20T21:23:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment</news:title>
   <news:publication_date>2026-08-20T21:23:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/20/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-2-data-preparation-and-model-building-with-amazon-sagemaker-canvas/</loc>
  <lastmod>2026-08-20T21:23:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas</news:title>
   <news:publication_date>2026-08-20T21:23:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/20/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-3-visualizing-insights-with-amazon-quick-sight/</loc>
  <lastmod>2026-08-20T21:23:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight</news:title>
   <news:publication_date>2026-08-20T21:23:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/20/authoring-dogwood-policies-from-natural-language-in-amazon-bedrock-agentcore/</loc>
  <lastmod>2026-08-20T16:31:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore</news:title>
   <news:publication_date>2026-08-20T16:31:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/19/domain-and-publish-date-filters-for-web-search-on-agentcore/</loc>
  <lastmod>2026-08-19T22:13:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Domain and publish date filters for Web Search on AgentCore</news:title>
   <news:publication_date>2026-08-19T22:13:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/19/automate-document-processing-with-quick-automate-and-the-idp-accelerator/</loc>
  <lastmod>2026-08-19T22:09:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Automate Document Processing with Quick Automate and the IDP Accelerator</news:title>
   <news:publication_date>2026-08-19T22:09:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/19/asynchronous-patterns-for-calling-amazon-bedrock-agentcore-agents-in-serverless-pipelines/</loc>
  <lastmod>2026-08-19T22:06:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines</news:title>
   <news:publication_date>2026-08-19T22:06:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/19/how-fanatics-betting-and-gaming-built-a-multi-agent-customer-support-system/</loc>
  <lastmod>2026-08-19T20:40:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>How Fanatics Betting and Gaming built a multi-agent customer support system</news:title>
   <news:publication_date>2026-08-19T20:40:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://algoret.com/2026/08/19/knowledgeforge-mining-gold-from-the-itsm-ticket-graveyard/</loc>
  <lastmod>2026-08-19T20:36:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name></news:name>
    <news:language>en</news:language>
   </news:publication>
   <news:title>KnowledgeForge: mining gold from the ITSM ticket graveyard</news:title>
   <news:publication_date>2026-08-19T20:36:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
</urlset>
