{"users":[{"id":32,"username":"amazonquick","name":null,"avatar_template":"/user_avatar/community.amazonquicksight.com/amazonquick/{size}/33495_2.png","admin":true,"trust_level":1},{"id":11493,"username":"Giridhar.Prabhu","name":"Giridhar","avatar_template":"/user_avatar/community.amazonquicksight.com/giridhar.prabhu/{size}/27789_2.png","trust_level":2},{"id":2595,"username":"Kristin","name":"Kristin Mandia","avatar_template":"/user_avatar/community.amazonquicksight.com/kristin/{size}/2470_2.png","primary_group_name":"Amazon_AZ","flair_name":"Amazon_AZ","flair_url":"cloud","flair_bg_color":"ffffff","flair_color":"C0C0C0","flair_group_id":53,"admin":true,"trust_level":4},{"id":38076,"username":"luiz.dantas","name":"Luiz Dantas","avatar_template":"https://avatars.discourse-cdn.com/v4/letter/l/a4c791/{size}.png","trust_level":0}],"primary_groups":[{"id":53,"name":"Amazon_AZ"}],"flair_groups":[{"id":53,"name":"Amazon_AZ","flair_url":"cloud","flair_bg_color":"ffffff","flair_color":"C0C0C0"}],"topic_list":{"can_create_topic":false,"more_topics_url":"/c/learning-center/blog/9?page=1","per_page":30,"top_tags":[{"id":97,"name":"quick-sight","slug":"quick-sight"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":482,"name":"business-user","slug":"business-user"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"},{"id":286,"name":"Business-Intelligence-Engineer","slug":"business-intelligence-engineer"},{"id":18,"name":"developer","slug":"developer"},{"id":312,"name":"Japanese","slug":"japanese"},{"id":591,"name":"amazon-q","slug":"amazon-q"},{"id":573,"name":"integrations","slug":"integrations"},{"id":561,"name":"chat-agent","slug":"chat-agent"},{"id":575,"name":"events","slug":"events"},{"id":586,"name":"MCP","slug":"mcp"},{"id":9,"name":"admin","slug":"admin"},{"id":145,"name":"dataset","slug":"dataset"},{"id":514,"name":"Automation-User","slug":"automation-user"},{"id":577,"name":"customer-story","slug":"customer-story"},{"id":630,"name":"multi-dataset-relationship","slug":"multi-dataset-relationship"},{"id":123,"name":"SageMaker","slug":"sagemaker"},{"id":557,"name":"user-groups","slug":"user-groups"},{"id":289,"name":"athena","slug":"athena"},{"id":625,"name":"bedrock","slug":"bedrock"},{"id":549,"name":"Quick-Automate","slug":"quick-automate"},{"id":558,"name":"quick-research","slug":"quick-research"},{"id":508,"name":"topics","slug":"topics"},{"id":4,"name":"api","slug":"api"},{"id":253,"name":"custom-permissions","slug":"custom-permissions"},{"id":124,"name":"dashboard","slug":"dashboard"},{"id":629,"name":"data-modeling","slug":"data-modeling"},{"id":183,"name":"data-preparation","slug":"data-preparation"},{"id":570,"name":"embedded","slug":"embedded"},{"id":576,"name":"healthcare-life-sciences","slug":"healthcare-life-sciences"}],"topics":[{"fancy_title":"Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis","id":53049,"title":"Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis","slug":"scaling-ux-testing-with-amazon-nova-act-a-new-approach-to-user-flow-analysis","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_1024x573.png","created_at":"2026-07-14T16:48:11.138Z","last_posted_at":"2026-07-14T16:48:11.717Z","bumped":true,"bumped_at":"2026-07-14T16:48:11.717Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"User experience (UX) testing faces multiple challenges that limit an organization’s ability to improve how users interact with their platforms. UX testing evaluates how easily and effectively users can navigate digital i…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1441,"height":807,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":582,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_1040x582.png"},{"max_width":1024,"max_height":1024,"width":1024,"height":573,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_1024x573.png"},{"max_width":800,"max_height":800,"width":800,"height":448,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_800x448.png"},{"max_width":600,"max_height":600,"width":600,"height":336,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_600x336.png"},{"max_width":520,"max_height":800,"width":520,"height":291,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_520x291.png"},{"max_width":400,"max_height":400,"width":400,"height":224,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_400x224.png"},{"max_width":300,"max_height":300,"width":300,"height":168,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_300x168.png"},{"max_width":260,"max_height":400,"width":260,"height":145,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_260x145.png"},{"max_width":200,"max_height":200,"width":200,"height":112,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/2/92c5e7c61388de66b23a845f70710d7182f02171_2_200x112.png"}],"tags":[],"tags_descriptions":{},"views":7,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Data discovery: How to find out what’s on your Amazon FSx for NetApp ONTAP volumes","id":53044,"title":"Data discovery: How to find out what’s on your Amazon FSx for NetApp ONTAP volumes","slug":"data-discovery-how-to-find-out-what-s-on-your-amazon-fsx-for-netapp-ontap-volumes","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_1024x430.png","created_at":"2026-07-14T01:25:55.894Z","last_posted_at":"2026-07-14T01:25:56.740Z","bumped":true,"bumped_at":"2026-07-14T01:25:56.740Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Enterprise storage administrators manage hundreds of terabytes, and sometimes petabytes, of file data spanning business units, applications, and users. As that storage grows, so does the challenge of understanding what i…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":2603,"height":1095,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":437,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_1040x437.png"},{"max_width":1024,"max_height":1024,"width":1024,"height":430,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_1024x430.png"},{"max_width":800,"max_height":800,"width":800,"height":336,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_800x336.png"},{"max_width":600,"max_height":600,"width":600,"height":252,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_600x252.png"},{"max_width":520,"max_height":800,"width":520,"height":218,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_520x218.png"},{"max_width":400,"max_height":400,"width":400,"height":168,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_400x168.png"},{"max_width":300,"max_height":300,"width":300,"height":126,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_300x126.png"},{"max_width":260,"max_height":400,"width":260,"height":109,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_260x109.png"},{"max_width":200,"max_height":200,"width":200,"height":84,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/8/780317dff5d6ea3e8d8a74302f5bf3dd37c553f1_2_200x84.png"}],"tags":[],"tags_descriptions":{},"views":12,"like_count":1,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":1,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"How the University of São Paulo is transforming how researchers access greenhouse gas data for the Amazon rainforest with AWS","id":53043,"title":"How the University of São Paulo is transforming how researchers access greenhouse gas data for the Amazon rainforest with AWS","slug":"how-the-university-of-sao-paulo-is-transforming-how-researchers-access-greenhouse-gas-data-for-the-amazon-rainforest-with-aws","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_1024x512.jpeg","created_at":"2026-07-14T01:25:55.873Z","last_posted_at":"2026-07-14T01:25:56.123Z","bumped":true,"bumped_at":"2026-07-14T01:25:56.123Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Climate researchers worldwide face the critical challenge of accessing and analyzing the massive volumes of environmental data needed to understand and prevent irreversible climate change. The Amazon basin plays a vi…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1152,"height":576,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/3/6/363d11ec689f476712765e067590361a39dcfe43.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":520,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_1040x520.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":512,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_1024x512.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":400,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_800x400.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":300,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_600x300.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":260,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_520x260.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":200,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_400x200.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":150,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_300x150.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":130,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_260x130.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":100,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/3/6/363d11ec689f476712765e067590361a39dcfe43_2_200x100.jpeg"}],"tags":[],"tags_descriptions":{},"views":3,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick","id":52987,"title":"Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick","slug":"build-a-unified-semantic-layer-across-datasets-with-multi-dataset-topics-in-amazon-quick","posts_count":3,"reply_count":1,"highest_post_number":3,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0.jpeg","created_at":"2026-07-07T17:09:43.112Z","last_posted_at":"2026-07-10T21:30:22.098Z","bumped":true,"bumped_at":"2026-07-10T21:30:22.098Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Amazon Quick is an AI-powered unified intelligence service that connects structured data and unstructured enterprise content so teams can explore, analyze, and act from one place. Amazon Quick Sight, the business intelli…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":940,"height":384,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":326,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_800x326.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":245,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_600x245.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":212,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_520x212.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":163,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_400x163.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":122,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_300x122.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":106,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_260x106.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":81,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/d/fdbbd84671708fa7a3d9667188646760e7fa58f0_2_200x81.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":561,"name":"chat-agent","slug":"chat-agent"},{"id":508,"name":"topics","slug":"topics"},{"id":630,"name":"multi-dataset-relationship","slug":"multi-dataset-relationship"}],"tags_descriptions":{},"views":94,"like_count":2,"has_summary":false,"last_poster_username":"Kristin","category_id":9,"op_like_count":1,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":32,"primary_group_id":null,"flair_group_id":null},{"extras":null,"description":"Frequent Poster","user_id":11493,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":2595,"primary_group_id":53,"flair_group_id":53}]},{"fancy_title":"Scaling agentic workflows with native case management in Amazon Quick Automate","id":53014,"title":"Scaling agentic workflows with native case management in Amazon Quick Automate","slug":"scaling-agentic-workflows-with-native-case-management-in-amazon-quick-automate","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6.png","created_at":"2026-07-10T15:39:02.521Z","last_posted_at":"2026-07-10T15:39:03.226Z","bumped":true,"bumped_at":"2026-07-10T15:39:03.226Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"An artificial intelligence (AI) agent can process an invoice, help adjudicate a claim, or classify a support ticket in a proof of concept. But running these agents across thousands or even millions of work items in a pro…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":942,"height":791,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6.png"},{"max_width":800,"max_height":800,"width":800,"height":671,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_800x671.png"},{"max_width":600,"max_height":600,"width":600,"height":503,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_600x503.png"},{"max_width":520,"max_height":800,"width":520,"height":436,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_520x436.png"},{"max_width":400,"max_height":400,"width":400,"height":335,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_400x335.png"},{"max_width":300,"max_height":300,"width":300,"height":251,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_300x251.png"},{"max_width":260,"max_height":400,"width":260,"height":218,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_260x218.png"},{"max_width":200,"max_height":200,"width":200,"height":167,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/6/b6993cbc33e898e922f7ad9a790fd182e2ec1dd6_2_200x167.png"}],"tags":[{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":514,"name":"Automation-User","slug":"automation-user"},{"id":549,"name":"Quick-Automate","slug":"quick-automate"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":16,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Automatically sort and prioritize your mailboxes by using Amazon Bedrock","id":52996,"title":"Automatically sort and prioritize your mailboxes by using Amazon Bedrock","slug":"automatically-sort-and-prioritize-your-mailboxes-by-using-amazon-bedrock","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_1024x807.png","created_at":"2026-07-08T17:15:19.721Z","last_posted_at":"2026-07-08T17:15:19.993Z","bumped":true,"bumped_at":"2026-07-08T17:15:19.993Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"AI-powered email management can transform how organizations in the public sector handle constituent communications. By implementing intelligent email routing and prioritization systems, organizations can automatically cl…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1349,"height":1064,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":820,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_1040x820.png"},{"max_width":1024,"max_height":1024,"width":1024,"height":807,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_1024x807.png"},{"max_width":800,"max_height":800,"width":800,"height":630,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_800x630.png"},{"max_width":600,"max_height":600,"width":600,"height":473,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_600x473.png"},{"max_width":520,"max_height":800,"width":520,"height":410,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_520x410.png"},{"max_width":400,"max_height":400,"width":400,"height":315,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_400x315.png"},{"max_width":300,"max_height":300,"width":300,"height":236,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_300x236.png"},{"max_width":260,"max_height":400,"width":260,"height":205,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_260x205.png"},{"max_width":200,"max_height":200,"width":200,"height":157,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/b/3/b35e91d661f91ecb9c5bd8829341da72ad705799_2_200x157.png"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":625,"name":"bedrock","slug":"bedrock"}],"tags_descriptions":{},"views":31,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"AI-powered productivity comes to the West Coast","id":52994,"title":"AI-powered productivity comes to the West Coast","slug":"ai-powered-productivity-comes-to-the-west-coast","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b.jpeg","created_at":"2026-07-08T16:24:54.596Z","last_posted_at":"2026-07-08T16:24:55.006Z","bumped":true,"bumped_at":"2026-07-08T16:24:55.006Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"The Amazon Quick User Group – Los Angeles is a local community of Amazon Quick users in the greater Los Angeles area who come together to share knowledge, best practices, and experiences with the platform. These User Gro…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":686,"height":457,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":399,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b_2_600x399.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":346,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b_2_520x346.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":266,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b_2_400x266.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":199,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b_2_300x199.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":173,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b_2_260x173.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":133,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/1/a1d6a00e7ab8cacdad8883a9e4957bd4f995983b_2_200x133.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"},{"id":557,"name":"user-groups","slug":"user-groups"}],"tags_descriptions":{},"views":13,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Multi-dataset Topic best practices for Amazon Quick Chat","id":52986,"title":"Multi-dataset Topic best practices for Amazon Quick Chat","slug":"multi-dataset-topic-best-practices-for-amazon-quick-chat","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/3/7/372a2115036112e1d0f68813b63f78f187fb63ea.png","created_at":"2026-07-07T17:09:39.353Z","last_posted_at":"2026-07-07T17:09:39.808Z","bumped":true,"bumped_at":"2026-07-07T17:09:39.808Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Note: The topics referenced throughout this document refer to the new Topics experience (not legacy Topics). For details on the differences, see Build a unified semantic layer across datasets with multi-dataset Topics in…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":72,"height":72,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/3/7/372a2115036112e1d0f68813b63f78f187fb63ea.png"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":561,"name":"chat-agent","slug":"chat-agent"},{"id":508,"name":"topics","slug":"topics"},{"id":630,"name":"multi-dataset-relationship","slug":"multi-dataset-relationship"}],"tags_descriptions":{},"views":12,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Data modeling patterns for Amazon Quick Sight multi-dataset relationships","id":52985,"title":"Data modeling patterns for Amazon Quick Sight multi-dataset relationships","slug":"data-modeling-patterns-for-amazon-quick-sight-multi-dataset-relationships","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_1024x359.jpeg","created_at":"2026-07-07T17:09:37.244Z","last_posted_at":"2026-07-07T17:09:37.713Z","bumped":true,"bumped_at":"2026-07-07T17:09:37.713Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"In Part 1 of this series, we introduced Amazon Quick Sight Multi-Dataset Relationships and covered the foundational concepts of dimensional modeling, best practices for designing clean data models, and a decision framewo…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1426,"height":501,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":365,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_1040x365.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":359,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_1024x359.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":281,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_800x281.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":210,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_600x210.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":182,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_520x182.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":140,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_400x140.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":105,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_300x105.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":91,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_260x91.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":70,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/7/a783fc9e270e3c1f241a4bf37202e8ae3819deb2_2_200x70.jpeg"}],"tags":[{"id":97,"name":"quick-sight","slug":"quick-sight"},{"id":286,"name":"Business-Intelligence-Engineer","slug":"business-intelligence-engineer"},{"id":183,"name":"data-preparation","slug":"data-preparation"},{"id":630,"name":"multi-dataset-relationship","slug":"multi-dataset-relationship"},{"id":629,"name":"data-modeling","slug":"data-modeling"}],"tags_descriptions":{},"views":10,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Data modeling best practices for Amazon Quick Sight multi-dataset relationships","id":52984,"title":"Data modeling best practices for Amazon Quick Sight multi-dataset relationships","slug":"data-modeling-best-practices-for-amazon-quick-sight-multi-dataset-relationships","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_745x1024.jpeg","created_at":"2026-07-07T17:09:35.336Z","last_posted_at":"2026-07-07T17:09:35.851Z","bumped":true,"bumped_at":"2026-07-07T17:09:35.851Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Business intelligence analysts routinely face the same challenge at the start of every analytics project: the data needed to answer a single business question lives across multiple tables. Sales transactions sit in one p…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":930,"height":1278,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff.jpeg"},{"max_width":1024,"max_height":1024,"width":745,"height":1024,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_745x1024.jpeg"},{"max_width":800,"max_height":800,"width":582,"height":800,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_582x800.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":714,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_520x714.jpeg"},{"max_width":600,"max_height":600,"width":436,"height":600,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_436x600.jpeg"},{"max_width":400,"max_height":400,"width":291,"height":400,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_291x400.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":357,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_260x357.jpeg"},{"max_width":300,"max_height":300,"width":218,"height":300,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_218x300.jpeg"},{"max_width":200,"max_height":200,"width":145,"height":200,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/1/e13708f4437586e2e8723143ef814c13e1a9a7ff_2_145x200.jpeg"}],"tags":[{"id":97,"name":"quick-sight","slug":"quick-sight"},{"id":286,"name":"Business-Intelligence-Engineer","slug":"business-intelligence-engineer"},{"id":145,"name":"dataset","slug":"dataset"},{"id":183,"name":"data-preparation","slug":"data-preparation"},{"id":630,"name":"multi-dataset-relationship","slug":"multi-dataset-relationship"},{"id":629,"name":"data-modeling","slug":"data-modeling"}],"tags_descriptions":{},"views":12,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick","id":52983,"title":"Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick","slug":"enrich-your-datasets-with-business-context-migrating-from-legacy-topics-to-semantic-datasets-in-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d.png","created_at":"2026-07-07T17:09:31.932Z","last_posted_at":"2026-07-07T17:09:32.682Z","bumped":true,"bumped_at":"2026-07-07T17:09:32.682Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"If you’ve been managing Amazon Quick legacy Topics alongside your datasets, you know the challenge: two assets that must stay perfectly synchronized, each with its own permissions, lineage, and versioning. Column synonym…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":985,"height":551,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d.png"},{"max_width":800,"max_height":800,"width":800,"height":447,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_800x447.png"},{"max_width":600,"max_height":600,"width":600,"height":335,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_600x335.png"},{"max_width":520,"max_height":800,"width":520,"height":290,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_520x290.png"},{"max_width":400,"max_height":400,"width":400,"height":223,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_400x223.png"},{"max_width":300,"max_height":300,"width":300,"height":167,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_300x167.png"},{"max_width":260,"max_height":400,"width":260,"height":145,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_260x145.png"},{"max_width":200,"max_height":200,"width":200,"height":111,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/b/5bc3d815b3be24185dbaf0fc02c3cbf8a1240c8d_2_200x111.png"}],"tags":[{"id":97,"name":"quick-sight","slug":"quick-sight"},{"id":286,"name":"Business-Intelligence-Engineer","slug":"business-intelligence-engineer"},{"id":145,"name":"dataset","slug":"dataset"},{"id":508,"name":"topics","slug":"topics"}],"tags_descriptions":{},"views":26,"like_count":1,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":1,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"How AWS Finance teams reclaimed hundreds of hours with Amazon Quick","id":52982,"title":"How AWS Finance teams reclaimed hundreds of hours with Amazon Quick","slug":"how-aws-finance-teams-reclaimed-hundreds-of-hours-with-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_1024x518.png","created_at":"2026-07-07T16:49:25.017Z","last_posted_at":"2026-07-07T16:49:25.324Z","bumped":true,"bumped_at":"2026-07-07T16:49:25.324Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Every finance professional knows the drill. Monday morning arrives, and your Financial Planning and Analysis (FP&A) team disappears into data compilation. They pull numbers from multiple systems, reconcile sources, build…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1840,"height":932,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":526,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_1040x526.png"},{"max_width":1024,"max_height":1024,"width":1024,"height":518,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_1024x518.png"},{"max_width":800,"max_height":800,"width":800,"height":405,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_800x405.png"},{"max_width":600,"max_height":600,"width":600,"height":303,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_600x303.png"},{"max_width":520,"max_height":800,"width":520,"height":263,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_520x263.png"},{"max_width":400,"max_height":400,"width":400,"height":202,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_400x202.png"},{"max_width":300,"max_height":300,"width":300,"height":151,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_300x151.png"},{"max_width":260,"max_height":400,"width":260,"height":131,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_260x131.png"},{"max_width":200,"max_height":200,"width":200,"height":101,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/a/1a7eb2fc4751112d484e14c1a75f1cfa91ac9a26_2_200x101.png"}],"tags":[{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":514,"name":"Automation-User","slug":"automation-user"},{"id":544,"name":"flows","slug":"flows"},{"id":561,"name":"chat-agent","slug":"chat-agent"}],"tags_descriptions":{},"views":14,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"How BigBasket uses the Iceberg based lakehouse architecture on AWS to power lightning-fast grocery delivery across India","id":52969,"title":"How BigBasket uses the Iceberg based lakehouse architecture on AWS to power lightning-fast grocery delivery across India","slug":"how-bigbasket-uses-the-iceberg-based-lakehouse-architecture-on-aws-to-power-lightning-fast-grocery-delivery-across-india","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_1023x556.png","created_at":"2026-07-06T16:53:10.005Z","last_posted_at":"2026-07-06T16:53:10.802Z","bumped":true,"bumped_at":"2026-07-06T16:53:10.802Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Delivering fresh groceries to millions of customers across India in a few minutes demands a radically modern data architecture and resilient processes to help the business make faster decisions. This is what BigBasket wa…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1429,"height":776,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":564,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_1040x564.png"},{"max_width":1024,"max_height":1024,"width":1023,"height":556,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_1023x556.png"},{"max_width":800,"max_height":800,"width":799,"height":434,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_799x434.png"},{"max_width":600,"max_height":600,"width":600,"height":325,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_600x325.png"},{"max_width":520,"max_height":800,"width":520,"height":282,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_520x282.png"},{"max_width":400,"max_height":400,"width":399,"height":217,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_399x217.png"},{"max_width":300,"max_height":300,"width":300,"height":162,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_300x162.png"},{"max_width":260,"max_height":400,"width":260,"height":141,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_260x141.png"},{"max_width":200,"max_height":200,"width":199,"height":108,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/d/cda6694f6a626d2592207cf151aa90a366359faa_2_199x108.png"}],"tags":[{"id":97,"name":"quick-sight","slug":"quick-sight"},{"id":286,"name":"Business-Intelligence-Engineer","slug":"business-intelligence-engineer"},{"id":628,"name":"BigBasket","slug":"bigbasket"}],"tags_descriptions":{},"views":22,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3","id":52438,"title":"Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3","slug":"restrict-access-to-sensitive-documents-in-your-amazon-quick-knowledge-bases-for-amazon-s3","posts_count":2,"reply_count":0,"highest_post_number":2,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_1024x746.jpeg","created_at":"2026-05-15T15:59:33.803Z","last_posted_at":"2026-07-01T23:04:24.909Z","bumped":true,"bumped_at":"2026-07-01T23:04:24.909Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Organizations that must restrict access to sensitive documents increasingly rely on AI-driven search and chat to help employees find answers across large repositories. Coarse-grained permissions that control access at th…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":2062,"height":1504,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":758,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_1040x758.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":746,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_1024x746.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":583,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_800x583.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":437,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_600x437.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":379,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_520x379.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":291,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_400x291.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":218,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_300x218.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":189,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_260x189.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":145,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/5/a/5a393de9f1e7cb1b0c46ca1f9fb043b6877d32f8_2_200x145.jpeg"}],"tags":[{"id":18,"name":"developer","slug":"developer"},{"id":255,"name":"security","slug":"security"},{"id":626,"name":"knowledge-base","slug":"knowledge-base"}],"tags_descriptions":{},"views":45,"like_count":0,"has_summary":false,"last_poster_username":"luiz.dantas","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":32,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":38076,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Implement a backup strategy for Amazon Quick Sight BI assets","id":52900,"title":"Implement a backup strategy for Amazon Quick Sight BI assets","slug":"implement-a-backup-strategy-for-amazon-quick-sight-bi-assets","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_1024x452.png","created_at":"2026-06-29T19:13:56.822Z","last_posted_at":"2026-06-29T19:13:57.537Z","bumped":true,"bumped_at":"2026-06-29T19:13:57.537Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Amazon Quick Sight is a core feature within Amazon Quick — an agentic, AI-powered digital workspace designed to maximize end-user productivity— that provides AI-powered BI capabilities through natural language queries, i…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1292,"height":571,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":459,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_1040x459.png"},{"max_width":1024,"max_height":1024,"width":1024,"height":452,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_1024x452.png"},{"max_width":800,"max_height":800,"width":800,"height":353,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_800x353.png"},{"max_width":600,"max_height":600,"width":600,"height":265,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_600x265.png"},{"max_width":520,"max_height":800,"width":520,"height":229,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_520x229.png"},{"max_width":400,"max_height":400,"width":400,"height":176,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_400x176.png"},{"max_width":300,"max_height":300,"width":300,"height":132,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_300x132.png"},{"max_width":260,"max_height":400,"width":260,"height":114,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_260x114.png"},{"max_width":200,"max_height":200,"width":200,"height":88,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/2/0/20659770df9e1e933d68d5e4aba3a7db8d8f5dbf_2_200x88.png"}],"tags":[{"id":18,"name":"developer","slug":"developer"},{"id":4,"name":"api","slug":"api"}],"tags_descriptions":{},"views":34,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Get back hours every day with autonomous agents in Amazon Quick","id":52862,"title":"Get back hours every day with autonomous agents in Amazon Quick","slug":"get-back-hours-every-day-with-autonomous-agents-in-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/6/b/6bfd16fe1e68cce29be6e77dd019dc07196ec829.jpeg","created_at":"2026-06-24T20:02:40.894Z","last_posted_at":"2026-06-24T20:02:41.358Z","bumped":true,"bumped_at":"2026-06-24T20:02:41.358Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"What if you came back from a full day of meetings and the busywork was already done? Stalled deals followed up on. Compliance changes summarized. Meeting prep written. Not because you multi-tasked, but because something …","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":120,"height":160,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/6/b/6bfd16fe1e68cce29be6e77dd019dc07196ec829.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":30,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"AI-powered BI with Snowflake and Amazon Quick","id":52861,"title":"AI-powered BI with Snowflake and Amazon Quick","slug":"ai-powered-bi-with-snowflake-and-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/9/3/93710c150f9c3f8bbf648ce8f92652460be41742.png","created_at":"2026-06-24T18:21:58.542Z","last_posted_at":"2026-06-24T18:21:59.166Z","bumped":true,"bumped_at":"2026-06-24T18:21:59.166Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"One dashboard shows 42,000 active movie view counts while another shows 38,500. Your chat agent references a third number entirely. Data teams spend hours reconciling numbers instead of answering strategic questions, and…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":469,"height":247,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/9/3/93710c150f9c3f8bbf648ce8f92652460be41742.png"},{"max_width":400,"max_height":400,"width":400,"height":210,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/3/93710c150f9c3f8bbf648ce8f92652460be41742_2_400x210.png"},{"max_width":300,"max_height":300,"width":300,"height":157,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/3/93710c150f9c3f8bbf648ce8f92652460be41742_2_300x157.png"},{"max_width":260,"max_height":400,"width":260,"height":136,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/3/93710c150f9c3f8bbf648ce8f92652460be41742_2_260x136.png"},{"max_width":200,"max_height":200,"width":200,"height":105,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/9/3/93710c150f9c3f8bbf648ce8f92652460be41742_2_200x105.png"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"},{"id":499,"name":"snowflake","slug":"snowflake"}],"tags_descriptions":{},"views":13,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick","id":52811,"title":"Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick","slug":"accelerate-campaign-workflow-with-insights-from-adobe-marketing-agent-for-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_1024x576.jpeg","created_at":"2026-06-19T14:06:27.606Z","last_posted_at":"2026-06-19T14:06:28.191Z","bumped":true,"bumped_at":"2026-06-19T14:06:28.191Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Amazon Quick and Adobe Marketing Agent help marketing teams access campaign insights within governed conversations in seconds. Marketers can ask questions about campaign performance, audiences, journeys, campaign conflic…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1672,"height":941,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":585,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_1040x585.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":576,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_1024x576.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":450,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_800x450.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":337,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_600x337.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":292,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_520x292.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":225,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_400x225.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":168,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_300x168.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":146,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_260x146.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":112,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/d/5/d5a13ddbd4b602340e5f5236eb6439d92fa32001_2_200x112.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":586,"name":"MCP","slug":"mcp"}],"tags_descriptions":{},"views":13,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick","id":52730,"title":"Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick","slug":"spot-trends-faster-sort-smarter-unlocking-sparklines-and-custom-sort-in-amazon-quick","posts_count":2,"reply_count":0,"highest_post_number":2,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_1024x912.jpeg","created_at":"2026-06-11T15:58:03.321Z","last_posted_at":"2026-06-15T10:55:05.087Z","bumped":true,"bumped_at":"2026-06-15T10:55:05.087Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Amazon Quick Sight, the business intelligence capability of Amazon Quick, delivers a unified BI experience, from modern interactive dashboards and natural language querying to pixel-perfect reports, machine learning insi…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1348,"height":1201,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":926,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_1040x926.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":912,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_1024x912.jpeg"},{"max_width":800,"max_height":800,"width":799,"height":712,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_799x712.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":534,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_600x534.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":463,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_520x463.jpeg"},{"max_width":400,"max_height":400,"width":399,"height":356,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_399x356.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":267,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_300x267.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":231,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_260x231.jpeg"},{"max_width":200,"max_height":200,"width":199,"height":178,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/7/9/795639b140fb865a36aa21273c06a3322ffdfd83_2_199x178.jpeg"}],"tags":[{"id":97,"name":"quick-sight","slug":"quick-sight"},{"id":286,"name":"Business-Intelligence-Engineer","slug":"business-intelligence-engineer"},{"id":112,"name":"visuals","slug":"visuals"}],"tags_descriptions":{},"views":41,"like_count":0,"has_summary":false,"last_poster_username":"Giridhar.Prabhu","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":null,"description":"Original Poster","user_id":32,"primary_group_id":null,"flair_group_id":null},{"extras":"latest","description":"Most Recent Poster","user_id":11493,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers","id":52745,"title":"Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers","slug":"build-a-meeting-prep-and-follow-up-assistant-with-amazon-quick-and-cisco-webex-mcp-servers","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_1024x576.jpeg","created_at":"2026-06-12T14:56:00.724Z","last_posted_at":"2026-06-12T14:56:01.217Z","bumped":true,"bumped_at":"2026-06-12T14:56:01.217Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Amazon Quick and Cisco Webex MCP servers can turn meeting prep and follow-up into a single conversational workflow. Instead of switching between Webex meetings, Vidcast videos, transcripts, recordings, and message spaces…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1672,"height":941,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/1/d/1df695de13ff46949f73b287899efa98c818a679.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":585,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_1040x585.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":576,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_1024x576.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":450,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_800x450.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":337,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_600x337.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":292,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_520x292.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":225,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_400x225.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":168,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_300x168.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":146,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_260x146.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":112,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/d/1df695de13ff46949f73b287899efa98c818a679_2_200x112.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":586,"name":"MCP","slug":"mcp"},{"id":573,"name":"integrations","slug":"integrations"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":23,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Build an agentic incident triage assistant with Amazon Quick and New Relic","id":52710,"title":"Build an agentic incident triage assistant with Amazon Quick and New Relic","slug":"build-an-agentic-incident-triage-assistant-with-amazon-quick-and-new-relic","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_1023x562.jpeg","created_at":"2026-06-09T16:11:29.868Z","last_posted_at":"2026-06-09T16:11:30.526Z","bumped":true,"bumped_at":"2026-06-09T16:11:30.526Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Incident triage is time-sensitive because site reliability engineers (SREs) and support engineers often need to collect evidence, assess user impact, and create follow-up work across separate tools. With Amazon Quick and…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1583,"height":870,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":571,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_1040x571.jpeg"},{"max_width":1024,"max_height":1024,"width":1023,"height":562,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_1023x562.jpeg"},{"max_width":800,"max_height":800,"width":799,"height":439,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_799x439.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":329,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_600x329.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":285,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_520x285.jpeg"},{"max_width":400,"max_height":400,"width":399,"height":219,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_399x219.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":164,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_300x164.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":142,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_260x142.jpeg"},{"max_width":200,"max_height":200,"width":199,"height":109,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/0/5/050900efbe6a4b21001a8af1c1fcfcd449d62ff6_2_199x109.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":586,"name":"MCP","slug":"mcp"},{"id":573,"name":"integrations","slug":"integrations"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":20,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Build governance dashboards for Amazon SageMaker Catalog with Amazon Quick","id":52700,"title":"Build governance dashboards for Amazon SageMaker Catalog with Amazon Quick","slug":"build-governance-dashboards-for-amazon-sagemaker-catalog-with-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_1024x461.jpeg","created_at":"2026-06-08T17:25:55.574Z","last_posted_at":"2026-06-08T17:25:56.178Z","bumped":true,"bumped_at":"2026-06-08T17:25:56.178Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Maintaining visibility into your data catalog’s health requires more than ad-hoc queries. Data stewards and compliance teams need automated dashboards that surface governance metrics and alert them when issues arise. The…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1411,"height":636,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":468,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_1040x468.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":461,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_1024x461.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":360,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_800x360.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":270,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_600x270.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":234,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_520x234.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":180,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_400x180.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":135,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_300x135.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":117,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_260x117.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":90,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/2/8228293350f7a05f906b0791289b10a13b3e15e9_2_200x90.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"},{"id":123,"name":"SageMaker","slug":"sagemaker"}],"tags_descriptions":{},"views":27,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Amazon Quick ARNs: Cross-account migration and namespace permissions","id":52699,"title":"Amazon Quick ARNs: Cross-account migration and namespace permissions","slug":"amazon-quick-arns-cross-account-migration-and-namespace-permissions","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1.png","created_at":"2026-06-08T16:26:17.000Z","last_posted_at":"2026-06-08T16:26:17.571Z","bumped":true,"bumped_at":"2026-06-08T16:26:17.571Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"You migrate dashboards from development to production, but the permissions don’t carry over. You share a dashboard with your Finance team, but they keep getting “access denied.” You set up namespaces for multi-tenant iso…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":601,"height":185,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1.png"},{"max_width":600,"max_height":600,"width":600,"height":184,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1_2_600x184.png"},{"max_width":520,"max_height":800,"width":520,"height":160,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1_2_520x160.png"},{"max_width":400,"max_height":400,"width":400,"height":123,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1_2_400x123.png"},{"max_width":300,"max_height":300,"width":300,"height":92,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1_2_300x92.png"},{"max_width":260,"max_height":400,"width":260,"height":80,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1_2_260x80.png"},{"max_width":200,"max_height":200,"width":200,"height":61,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/8/c88f12f4433b5a50a8113088c76527c3ac52fbf1_2_200x61.png"}],"tags":[{"id":18,"name":"developer","slug":"developer"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":67,"name":"namespace","slug":"namespace"}],"tags_descriptions":{},"views":21,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Transforming rare cancer research with Amazon Quick: Integrating biomedical databases for breakthrough discoveries","id":52629,"title":"Transforming rare cancer research with Amazon Quick: Integrating biomedical databases for breakthrough discoveries","slug":"transforming-rare-cancer-research-with-amazon-quick-integrating-biomedical-databases-for-breakthrough-discoveries","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_1024x572.jpeg","created_at":"2026-06-01T22:08:34.118Z","last_posted_at":"2026-06-01T22:08:34.613Z","bumped":true,"bumped_at":"2026-06-01T22:08:34.613Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Rare cancer research generates heterogeneous data across genomic sequencing pipelines, clinical trial registries, biomarker repositories, and peer-reviewed literature. Integrating these sources for a single investigation…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":3834,"height":2142,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":581,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_1040x581.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":572,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_1024x572.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":446,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_800x446.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":335,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_600x335.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":290,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_520x290.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":223,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_400x223.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":167,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_300x167.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":145,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_260x145.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":111,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/c/1c7b99a1c3285cbe3fb7fd74e63e95279e0029f3_2_200x111.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"},{"id":558,"name":"quick-research","slug":"quick-research"}],"tags_descriptions":{},"views":31,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Amazon Quick integration with time-series databases for market intelligence using MCP","id":52624,"title":"Amazon Quick integration with time-series databases for market intelligence using MCP","slug":"amazon-quick-integration-with-time-series-databases-for-market-intelligence-using-mcp","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_1024x411.jpeg","created_at":"2026-06-01T16:04:52.167Z","last_posted_at":"2026-06-01T16:04:52.739Z","bumped":true,"bumped_at":"2026-06-01T16:04:52.739Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Model Context Protocol (MCP) integration in Amazon Quick transforms how financial analysts access time-series market intelligence, removing the need for complex database queries. As a financial analyst, you navigate mill…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1641,"height":660,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":418,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_1040x418.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":411,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_1024x411.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":321,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_800x321.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":241,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_600x241.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":209,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_520x209.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":160,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_400x160.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":120,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_300x120.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":104,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_260x104.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":80,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/8/7/87491aeeef3d69b8aa4aeabe5fb5af2cd1ddc25c_2_200x80.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":586,"name":"MCP","slug":"mcp"},{"id":573,"name":"integrations","slug":"integrations"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":32,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Automate AML alert triage with Amazon Quick and Snowflake Cortex AI","id":52592,"title":"Automate AML alert triage with Amazon Quick and Snowflake Cortex AI","slug":"automate-aml-alert-triage-with-amazon-quick-and-snowflake-cortex-ai","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_1024x576.jpeg","created_at":"2026-05-28T16:51:02.843Z","last_posted_at":"2026-05-28T16:51:03.398Z","bumped":true,"bumped_at":"2026-05-28T16:51:03.398Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"Financial institutions running on AWS and Snowflake benefit from a deeply integrated framework that combines Snowflake’s AI Data Cloud with AWS cloud infrastructure, including integrations with AWS services such as Amazo…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":2288,"height":1288,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":585,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_1040x585.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":576,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_1024x576.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":450,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_800x450.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":337,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_600x337.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":292,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_520x292.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":225,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_400x225.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":168,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_300x168.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":146,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_260x146.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":112,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/e/8/e8e37c23b63fe762667338e663f9ce478ad5e571_2_200x112.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":586,"name":"MCP","slug":"mcp"},{"id":573,"name":"integrations","slug":"integrations"},{"id":499,"name":"snowflake","slug":"snowflake"}],"tags_descriptions":{},"views":24,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore","id":52573,"title":"How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore","slug":"how-aws-smgs-uses-an-ai-powered-conversational-assistant-to-transform-business-management-with-amazon-bedrock-agentcore","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_1024x655.jpeg","created_at":"2026-05-27T18:52:50.073Z","last_posted_at":"2026-05-27T18:52:50.723Z","bumped":true,"bumped_at":"2026-05-27T18:52:50.723Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"AWS leaders manage complex data across multiple hierarchies while making time-sensitive decisions that impact global operations. Traditional business intelligence relies on static dashboards and manual reports, which cre…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1902,"height":1217,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":665,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_1040x665.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":655,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_1024x655.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":511,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_800x511.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":383,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_600x383.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":332,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_520x332.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":255,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_400x255.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":191,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_300x191.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":166,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_260x166.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":127,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/1/5/15c57647306dd0660e2c36fe2009020f573c49d0_2_200x127.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"},{"id":625,"name":"bedrock","slug":"bedrock"}],"tags_descriptions":{},"views":32,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Transforming professional work: How Amazon Quick turns document creation from hours into minutes","id":52554,"title":"Transforming professional work: How Amazon Quick turns document creation from hours into minutes","slug":"transforming-professional-work-how-amazon-quick-turns-document-creation-from-hours-into-minutes","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_1024x661.png","created_at":"2026-05-26T16:12:34.961Z","last_posted_at":"2026-05-26T16:12:35.608Z","bumped":true,"bumped_at":"2026-05-26T16:12:35.608Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"In this post, we explore how the Amazon Quick document and visualization creation capabilities work, what you can build with them, and how professionals across roles are using them to reclaim hours of their workweek.  \nF…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1479,"height":956,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650.png"},{"max_width":1040,"max_height":1600,"width":1040,"height":672,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_1040x672.png"},{"max_width":1024,"max_height":1024,"width":1024,"height":661,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_1024x661.png"},{"max_width":800,"max_height":800,"width":800,"height":517,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_800x517.png"},{"max_width":600,"max_height":600,"width":600,"height":387,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_600x387.png"},{"max_width":520,"max_height":800,"width":520,"height":336,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_520x336.png"},{"max_width":400,"max_height":400,"width":400,"height":258,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_400x258.png"},{"max_width":300,"max_height":300,"width":300,"height":193,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_300x193.png"},{"max_width":260,"max_height":400,"width":260,"height":168,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_260x168.png"},{"max_width":200,"max_height":200,"width":200,"height":129,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/f/c/fc4abc22b85701762c9433d1c412a018acbb9650_2_200x129.png"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":40,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Build an enterprise observability solution for Amazon Quick","id":52553,"title":"Build an enterprise observability solution for Amazon Quick","slug":"build-an-enterprise-observability-solution-for-amazon-quick","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_1024x799.jpeg","created_at":"2026-05-26T16:12:32.448Z","last_posted_at":"2026-05-26T16:12:32.947Z","bumped":true,"bumped_at":"2026-05-26T16:12:32.947Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users are satisfied with the answers they recei…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1128,"height":881,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":812,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_1040x812.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":799,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_1024x799.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":624,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_800x624.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":468,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_600x468.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":406,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_520x406.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":312,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_400x312.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":234,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_300x234.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":203,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_260x203.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":156,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/a/d/ad9c07733c2e3c6bb90884c7abd6029c093b6a3a_2_200x156.jpeg"}],"tags":[{"id":18,"name":"developer","slug":"developer"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"}],"tags_descriptions":{},"views":39,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]},{"fancy_title":"Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime","id":52506,"title":"Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime","slug":"integrating-aws-api-mcp-server-with-amazon-quick-using-amazon-bedrock-agentcore-runtime","posts_count":1,"reply_count":0,"highest_post_number":1,"image_url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_1024x536.jpeg","created_at":"2026-05-21T16:46:08.748Z","last_posted_at":"2026-05-21T16:46:09.218Z","bumped":true,"bumped_at":"2026-05-21T16:46:09.218Z","archetype":"regular","unseen":false,"pinned":false,"unpinned":null,"excerpt":"As your AWS infrastructure scales, operational workflows naturally grow more complex. SREs and DevOps Engineers spend significant time context-switching between the AWS Management Console, CLI documentation, and multiple…","visible":true,"closed":false,"archived":false,"bookmarked":null,"liked":null,"thumbnails":[{"max_width":null,"max_height":null,"width":1102,"height":577,"url":"https://d1wl4jav5dp96l.cloudfront.net/original/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3.jpeg"},{"max_width":1040,"max_height":1600,"width":1040,"height":544,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_1040x544.jpeg"},{"max_width":1024,"max_height":1024,"width":1024,"height":536,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_1024x536.jpeg"},{"max_width":800,"max_height":800,"width":800,"height":418,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_800x418.jpeg"},{"max_width":600,"max_height":600,"width":600,"height":314,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_600x314.jpeg"},{"max_width":520,"max_height":800,"width":520,"height":272,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_520x272.jpeg"},{"max_width":400,"max_height":400,"width":400,"height":209,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_400x209.jpeg"},{"max_width":300,"max_height":300,"width":300,"height":157,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_300x157.jpeg"},{"max_width":260,"max_height":400,"width":260,"height":136,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_260x136.jpeg"},{"max_width":200,"max_height":200,"width":200,"height":104,"url":"https://d1wl4jav5dp96l.cloudfront.net/optimized/3X/c/c/cc56d118c8a840de894567024a0db976a48547c3_2_200x104.jpeg"}],"tags":[{"id":482,"name":"business-user","slug":"business-user"},{"id":548,"name":"amazon-quick","slug":"amazon-quick"},{"id":586,"name":"MCP","slug":"mcp"},{"id":573,"name":"integrations","slug":"integrations"},{"id":562,"name":"agentic-AI","slug":"agentic-ai"}],"tags_descriptions":{},"views":47,"like_count":0,"has_summary":false,"last_poster_username":"amazonquick","category_id":9,"op_like_count":0,"pinned_globally":false,"featured_link":null,"has_accepted_answer":false,"can_vote":false,"posters":[{"extras":"latest single","description":"Original Poster, Most Recent Poster","user_id":32,"primary_group_id":null,"flair_group_id":null}]}]}}