{"id":13090,"date":"2022-06-27T09:50:28","date_gmt":"2022-06-27T09:50:28","guid":{"rendered":"https:\/\/blog.cloudthat.com\/?p=13090"},"modified":"2024-06-25T10:57:57","modified_gmt":"2024-06-25T10:57:57","slug":"ai-enabled-customer-segmentation-using-amazon-sagemaker","status":"publish","type":"blog","link":"https:\/\/www.cloudthat.com\/resources\/blog\/ai-enabled-customer-segmentation-using-amazon-sagemaker","title":{"rendered":"AI-Enabled Customer Segmentation using Amazon SageMaker"},"content":{"rendered":"<table style=\"height: 148px;\" border=\"0\" width=\"323\">\n<tbody>\n<tr>\n<td>\n<h2><span style=\"color: #000080;\"><strong>TABLE OF CONTENT<\/strong><\/span><\/h2>\n<\/td>\n<\/tr>\n<tr>\n<td><a style=\"margin-left: 20px;\" href=\"#introduction\">1. Introduction<\/a><\/td>\n<\/tr>\n<tr>\n<td><a style=\"margin-left: 20px;\" href=\"#webinarvideo\">2. Webinar Video<\/a><\/td>\n<\/tr>\n<tr>\n<td><a style=\"margin-left: 20px;\" href=\"#aboutcloudthat\">3. About CloudThat <\/a><\/td>\n<\/tr>\n<tr>\n<td><a style=\"margin-left: 20px;\" href=\"#faqs\">4. FAQs<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2 id=\"introduction\"><strong>Introduction<\/strong><\/h2>\n<p><span style=\"color: #000000;\">Artificial Intelligence (AI) and Machine Learning (ML) are two of the most popular technological terms in the twenty-first century. To solve business problems, most organizations are now leveraging these technologies to automate their processes. However, there is a need to disseminate AI-powered tools and services knowledge to the booming tech and non-tech population.<\/span><\/p>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/www.cloudthat.com\/\" target=\"_blank\" rel=\"noopener\"><strong>CloudThat<\/strong><\/a> collaborated with AWS to conduct a webinar on spreading the knowledge about leveraging Amazon SageMaker, the AI tool for Customer Segmentation, and understanding the implementation process for corporate applications, use cases, benefits, and underlying technology provisioning, along with a demonstration.<\/span><\/p>\n<p><span style=\"color: #000000;\">Watch the webinar on \u2018AI-enabled Customer Segmentation using Amazon SageMaker Webinar\u2019 by the Founder and CEO of CloudThat, Mr. Bhavesh Goswami here, Mr. Meghanathan Manjunath, Solution Architect, Amazon, and Arihant Bengani, Lead SME Architect, CloudThat.<\/span><\/p>\n<h2 id=\"webinarvideo\"><strong>Webinar Video:<\/strong><\/h2>\n<p><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/duEyKopoEHQ\" title=\"Webinar Recording\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h2 id=\"aboutcloudthat\"><strong>About CloudThat:<\/strong><\/h2>\n<p id=\"About CloudThat\"><span style=\"color: #000000;\"><a href=\"https:\/\/www.cloudthat.com\/\" target=\"_blank\" rel=\"noopener\"><strong>CloudThat<\/strong><\/a>\u00a0is\u00a0the official AWS (Amazon Web Services) Advanced Consulting Partner, Microsoft Gold Partner, Google Cloud Partner, and Training Partner helping people develop knowledge of the cloud and help their businesses aim for higher goals using best-in-industry cloud computing practices and expertise. We are on a mission to build\u00a0a robust\u00a0cloud computing ecosystem by disseminating\u00a0knowledge on technological intricacies within the cloud space.\u00a0Our blogs, webinars,\u00a0case studies, and white papers\u00a0enable all the stakeholders in the cloud computing sphere.<\/span><\/p>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/www.cloudthat.com\/\" target=\"_blank\" rel=\"noopener\"><strong>CloudThat<\/strong>\u00a0<\/a>is a\u00a0<span class=\"TextRun BCX0 SCXP93070984\" lang=\"EN-IN\" xml:lang=\"EN-IN\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun BCX0 SCXP93070984\">house\u00a0of\u00a0All-Encompassing\u00a0IT\u00a0Services\u00a0on the cloud offering\u00a0<span class=\"TextRun BCX0 SCXP59000031\" lang=\"EN-IN\" xml:lang=\"EN-IN\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun BCX0 SCXP59000031\">Multi-cloud Security &amp; Compliance, Cloud Enablement Services, Cloud-Native Application Development, and System Integration Services.\u00a0<\/span><\/span><span class=\"TextRun BCX0 SCXP59000031\" lang=\"EN-IN\" xml:lang=\"EN-IN\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun BCX0 SCXP59000031\"><span class=\"EOP SCXP258354852 BCX0\"><span class=\"EOP SCXP66056781 BCX0\"><span class=\"EOP SCXP242272637 BCX0\"><span class=\"TextRun SCXP239778695 BCX0\" lang=\"EN-IN\" xml:lang=\"EN-IN\" data-usefontface=\"true\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP239778695 BCX0\">Explore our\u00a0<strong><a href=\"https:\/\/www.cloudthat.com\/consulting\/\" target=\"_blank\" rel=\"noopener\">consulting here<\/a>.<\/strong><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">If you have any queries about Segmentation, AI-enablement, or AWS SageMaker, drop them in the comment section and I will get back to you quickly.<\/span><\/p>\n<h2 id=\"faqs\"><strong>FAQs:<\/strong><\/h2>\n<ol>\n<li>\n<h3><strong><u>In the e-commerce domain, are the product recommendation using AI\/ML?<br \/>\n<\/u><\/strong><\/h3>\n<p><span style=\"color: #000000;\">Product Recommendations are usually targeted towards an individual and might differ person by person, segmentation focuses on recommending to a specific group of customers\/entities<\/span><\/li>\n<li>\n<h3><strong><u>Can you use unstructured data e.g., customer interaction data to better profile customers using Sagemaker?<\/u><\/strong><\/h3>\n<p><span style=\"color: #000000;\">Yes, you use SageMaker for\u00a0unstructured data, even the nature of segmentation is based on, unsupervised learning which requires identifying new patterns in unstructured data.<\/span><\/li>\n<li>\n<h3><span style=\"text-decoration: underline;\"><strong>How do I justify the cost of using AI\/ML over other methods?<br \/>\n<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">Traditional methods of doing analytics and deriving Intelligence from the data are quite complicated, require a lot of time\/effort and its very much repetitive, and automation is almost impossible to achieve. Thus, if we consider the business as a long-run use case it&#8217;s more viable to have AI as a core component to drive the business.<\/span><\/li>\n<li>\n<h3><span style=\"text-decoration: underline;\"><strong>How do I quantify that the business growth is coming from the usage of AI\/ML?<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">It is quite subjective, it depends on the problem statement you are trying to solve, for more details you can reach out to us at\u00a0<a tabindex=\"-1\" title=\"mailto:consulting@cloudthat.com\" href=\"mailto:consulting@cloudthat.com\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Link consulting@cloudthat.com\">consulting@cloudthat.com<\/a>\u00a0and we can help you start your organization&#8217;s AI\/ML journey.<\/span><\/li>\n<li>\n<h3><span style=\"text-decoration: underline;\"><strong>What are the provisions of deploying this model as API using SageMaker?<\/strong><\/span><\/h3>\n<p>With Amazon SageMaker deployment is quite simple, it&#8217;s 4-5lines of code to deploy your model.<\/li>\n<li>\n<h3><span style=\"text-decoration: underline;\"><strong>Does the data from paid campaign analysis go through the AWS SageMaker platform?<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">It depends on the platform you are using for the paid campaigns and what kind of data they are providing for you to run analytics or to derive database intelligence.<\/span><\/li>\n<\/ol>\n","protected":false},"author":309,"featured_media":13097,"parent":0,"comment_status":"open","ping_status":"open","template":"","blog_category":[4378,3606,3607],"user_email":"arihant@cloudthat.com","published_by":"324","primary-authors":"","secondary-authors":"","acf":[],"_links":{"self":[{"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/blog\/13090"}],"collection":[{"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/users\/309"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/comments?post=13090"}],"version-history":[{"count":1,"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/blog\/13090\/revisions"}],"predecessor-version":[{"id":45843,"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/blog\/13090\/revisions\/45843"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/media?parent=13090"}],"wp:term":[{"taxonomy":"blog_category","embeddable":true,"href":"https:\/\/www.cloudthat.com\/resources\/wp-json\/wp\/v2\/blog_category?post=13090"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}