{"id":3676,"date":"2025-07-07T08:20:23","date_gmt":"2025-07-07T08:20:23","guid":{"rendered":"https:\/\/uplatz.com\/blog\/?p=3676"},"modified":"2025-07-07T08:20:23","modified_gmt":"2025-07-07T08:20:23","slug":"best-practices-for-edge-ai-deployment","status":"publish","type":"post","link":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/","title":{"rendered":"Best Practices for Edge AI Deployment"},"content":{"rendered":"<h1><b>Best Practices for Edge AI Deployment<\/b><\/h1>\n<ul>\n<li aria-level=\"1\">\n<h4><b><i>As part of the \u201cBest Practices\u201d series by Uplatz<\/i><\/b><\/h4>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Welcome to the intelligence-at-the-edge edition of the <\/span><b>Uplatz Best Practices<\/b><span style=\"font-weight: 400;\"> series \u2014 where real-time AI meets bandwidth efficiency and autonomy.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"> Today\u2019s topic: <\/span><b>Edge AI Deployment<\/b><span style=\"font-weight: 400;\"> \u2014 bringing machine learning models closer to where data is generated, for faster inference and smarter systems.<\/span><\/p>\n<h3><b>\ud83e\udde0 What is Edge AI?<\/b><\/h3>\n<p><b>Edge AI<\/b><span style=\"font-weight: 400;\"> refers to running AI\/ML models directly on edge devices (e.g., cameras, sensors, gateways, drones, wearables), instead of sending data to the cloud.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Key benefits:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Low latency decision-making<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reduced cloud dependency<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Better privacy and cost-efficiency<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Offline inference capability<\/span>&nbsp;<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Used in:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Smart factories<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Autonomous vehicles<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Surveillance systems<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Retail analytics<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">IoT healthcare monitoring<\/span>&nbsp;<\/li>\n<\/ul>\n<h2><b>\u2705 Best Practices for Edge AI Deployment<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Edge AI brings intelligence to the real world \u2014 but with hardware constraints, power limits, and distribution challenges. Here&#8217;s how to deploy it effectively:<\/span><\/p>\n<h3><b>1. Select the Right Use Case for Edge<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udccd <\/span><b>Use Edge When You Need Real-Time Responses (e.g., &lt;100ms)<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udcf6 <\/span><b>Prioritize Environments With Limited Connectivity<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udd10 <\/span><b>Deploy AI on Sensitive Data Locally for Privacy Compliance (e.g., HIPAA, GDPR)<\/b><\/p>\n<h3><b>2. Choose Suitable Edge Hardware<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udcbb <\/span><b>Use NVIDIA Jetson, Google Coral, Intel Movidius, or Qualcomm AI Chips<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \u26a1 <\/span><b>Balance Performance, Power, and Cost Based on Use Case<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83e\udde9 <\/span><b>Consider FPGA or ASIC for High-Volume, Low-Latency Applications<\/b><\/p>\n<h3><b>3. Optimize Models for On-Device Inference<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udd01 <\/span><b>Use Quantization, Pruning, and Knowledge Distillation<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udcc9 <\/span><b>Reduce Model Size Without Compromising Accuracy<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udee0\ufe0f <\/span><b>Convert to Edge-Compatible Formats (TFLite, ONNX, CoreML, EdgeTPU)<\/b><\/p>\n<h3><b>4. Use Containerization and Lightweight Runtimes<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udce6 <\/span><b>Deploy With Docker or OCI Containers Where Supported<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \u2699\ufe0f <\/span><b>Use Inference Engines Like TensorRT, OpenVINO, or TensorFlow Lite Interpreter<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udd04 <\/span><b>Support OTA (Over-the-Air) Model and Software Updates<\/b><\/p>\n<h3><b>5. Ensure Efficient Data Pipeline<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83e\uddec <\/span><b>Preprocess Raw Data Locally (e.g., Frame Selection, Filtering)<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udeab <\/span><b>Avoid Full-Frame Video Transfer to Cloud When Edge Results Are Sufficient<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udcc1 <\/span><b>Send Only Metadata, Alerts, or Aggregated Results to Backend<\/b><\/p>\n<h3><b>6. Design for Intermittent Connectivity<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udd04 <\/span><b>Support Offline Operation and Data Caching<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udce1 <\/span><b>Sync With Cloud When Bandwidth Allows<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83e\udde0 <\/span><b>Make Edge Decisions Autonomous Where Needed<\/b><\/p>\n<h3><b>7. Implement Model Versioning and Rollback<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83e\uddfe <\/span><b>Use Git, DVC, or MLFlow for Tracking Models<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udce4 <\/span><b>Deploy via Edge Gateways or Device Management Platforms<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\uded1 <\/span><b>Enable Safe Rollback in Case of Accuracy Drop or Drift<\/b><\/p>\n<h3><b>8. Secure the Edge AI Stack<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udd10 <\/span><b>Encrypt Models and Data at Rest\/Transit<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udee1\ufe0f <\/span><b>Use TPMs or Secure Boot on Devices<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udc65 <\/span><b>Authenticate and Authorize Model Updates<\/b><\/p>\n<h3><b>9. Monitor Performance and Accuracy in Real Time<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83d\udcca <\/span><b>Track Inference Latency, Resource Usage, and Confidence Scores<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83e\uddea <\/span><b>Detect Model Drift Using Feedback Loops<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83d\udd14 <\/span><b>Alert on Accuracy Drops or Unusual Input Patterns<\/b><\/p>\n<h3><b>10. Scale Through Edge-Orchestration Platforms<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\ud83c\udf10 <\/span><b>Use Azure IoT Edge, AWS Greengrass, NVIDIA Fleet Command, or Balena<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \ud83e\uddf1 <\/span><b>Manage Device Groups, Update Rollouts, and Fleet Telemetry<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> \u2699\ufe0f <\/span><b>Standardize DevOps + MLOps Pipelines for Edge AI<\/b><\/p>\n<h3><b>\ud83d\udca1 Bonus Tip by Uplatz<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Don\u2019t treat Edge AI as a mini-cloud.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span> <b>Design for constraints first \u2014 and optimize for impact, not complexity.<\/b><\/p>\n<h3><b>\ud83d\udd01 Follow Uplatz to get more best practices in upcoming posts:<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MLOps for Edge Workflows<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Real-Time Anomaly Detection on Edge Devices<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Edge vs. Fog vs. Cloud AI: Architecture Patterns<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Model Compression and Hardware Acceleration Techniques<\/span>&nbsp;<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Privacy-Preserving AI at the Edge (e.g., Federated Learning)<\/span>&nbsp;<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u2026and more on pushing intelligence to the frontlines of digital operations.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Best Practices for Edge AI Deployment As part of the \u201cBest Practices\u201d series by Uplatz &nbsp; Welcome to the intelligence-at-the-edge edition of the Uplatz Best Practices series \u2014 where real-time <span class=\"readmore\"><a href=\"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/\">Read More &#8230;<\/a><\/span><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[170,133,1055],"tags":[],"class_list":["post-3676","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-edge-computing","category-mlops"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Best Practices for Edge AI Deployment | Uplatz Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best Practices for Edge AI Deployment | Uplatz Blog\" \/>\n<meta property=\"og:description\" content=\"Best Practices for Edge AI Deployment As part of the \u201cBest Practices\u201d series by Uplatz &nbsp; Welcome to the intelligence-at-the-edge edition of the Uplatz Best Practices series \u2014 where real-time Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/\" \/>\n<meta property=\"og:site_name\" content=\"Uplatz Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Uplatz-1077816825610769\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-07T08:20:23+00:00\" \/>\n<meta name=\"author\" content=\"uplatzblog\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@uplatz_global\" \/>\n<meta name=\"twitter:site\" content=\"@uplatz_global\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"uplatzblog\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/\"},\"author\":{\"name\":\"uplatzblog\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#\\\/schema\\\/person\\\/8ecae69a21d0757bdb2f776e67d2645e\"},\"headline\":\"Best Practices for Edge AI Deployment\",\"datePublished\":\"2025-07-07T08:20:23+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/\"},\"wordCount\":533,\"publisher\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#organization\"},\"articleSection\":[\"Artificial Intelligence\",\"Edge Computing\",\"MLOps\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/\",\"url\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/\",\"name\":\"Best Practices for Edge AI Deployment | Uplatz Blog\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#website\"},\"datePublished\":\"2025-07-07T08:20:23+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/best-practices-for-edge-ai-deployment\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Best Practices for Edge AI Deployment\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/\",\"name\":\"Uplatz Blog\",\"description\":\"Uplatz is a global IT Training &amp; Consulting company\",\"publisher\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#organization\",\"name\":\"uplatz.com\",\"url\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/wp-content\\\/uploads\\\/2016\\\/11\\\/Uplatz-Logo-Copy-2.png\",\"contentUrl\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/wp-content\\\/uploads\\\/2016\\\/11\\\/Uplatz-Logo-Copy-2.png\",\"width\":1280,\"height\":800,\"caption\":\"uplatz.com\"},\"image\":{\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/Uplatz-1077816825610769\\\/\",\"https:\\\/\\\/x.com\\\/uplatz_global\",\"https:\\\/\\\/www.instagram.com\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/7956715?trk=tyah&amp;amp;amp;amp;trkInfo=clickedVertical:company,clickedEntityId:7956715,idx:1-1-1,tarId:1464353969447,tas:uplatz\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/uplatz.com\\\/blog\\\/#\\\/schema\\\/person\\\/8ecae69a21d0757bdb2f776e67d2645e\",\"name\":\"uplatzblog\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7f814c72279199f59ded4418a8653ad15f5f8904ac75e025a4e2abe24d58fa5d?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7f814c72279199f59ded4418a8653ad15f5f8904ac75e025a4e2abe24d58fa5d?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7f814c72279199f59ded4418a8653ad15f5f8904ac75e025a4e2abe24d58fa5d?s=96&d=mm&r=g\",\"caption\":\"uplatzblog\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Best Practices for Edge AI Deployment | Uplatz Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/","og_locale":"en_US","og_type":"article","og_title":"Best Practices for Edge AI Deployment | Uplatz Blog","og_description":"Best Practices for Edge AI Deployment As part of the \u201cBest Practices\u201d series by Uplatz &nbsp; Welcome to the intelligence-at-the-edge edition of the Uplatz Best Practices series \u2014 where real-time Read More ...","og_url":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/","og_site_name":"Uplatz Blog","article_publisher":"https:\/\/www.facebook.com\/Uplatz-1077816825610769\/","article_published_time":"2025-07-07T08:20:23+00:00","author":"uplatzblog","twitter_card":"summary_large_image","twitter_creator":"@uplatz_global","twitter_site":"@uplatz_global","twitter_misc":{"Written by":"uplatzblog","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/#article","isPartOf":{"@id":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/"},"author":{"name":"uplatzblog","@id":"https:\/\/uplatz.com\/blog\/#\/schema\/person\/8ecae69a21d0757bdb2f776e67d2645e"},"headline":"Best Practices for Edge AI Deployment","datePublished":"2025-07-07T08:20:23+00:00","mainEntityOfPage":{"@id":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/"},"wordCount":533,"publisher":{"@id":"https:\/\/uplatz.com\/blog\/#organization"},"articleSection":["Artificial Intelligence","Edge Computing","MLOps"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/","url":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/","name":"Best Practices for Edge AI Deployment | Uplatz Blog","isPartOf":{"@id":"https:\/\/uplatz.com\/blog\/#website"},"datePublished":"2025-07-07T08:20:23+00:00","breadcrumb":{"@id":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/uplatz.com\/blog\/best-practices-for-edge-ai-deployment\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/uplatz.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Best Practices for Edge AI Deployment"}]},{"@type":"WebSite","@id":"https:\/\/uplatz.com\/blog\/#website","url":"https:\/\/uplatz.com\/blog\/","name":"Uplatz Blog","description":"Uplatz is a global IT Training &amp; Consulting company","publisher":{"@id":"https:\/\/uplatz.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/uplatz.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/uplatz.com\/blog\/#organization","name":"uplatz.com","url":"https:\/\/uplatz.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/uplatz.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2016\/11\/Uplatz-Logo-Copy-2.png","contentUrl":"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2016\/11\/Uplatz-Logo-Copy-2.png","width":1280,"height":800,"caption":"uplatz.com"},"image":{"@id":"https:\/\/uplatz.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/Uplatz-1077816825610769\/","https:\/\/x.com\/uplatz_global","https:\/\/www.instagram.com\/","https:\/\/www.linkedin.com\/company\/7956715?trk=tyah&amp;amp;amp;amp;trkInfo=clickedVertical:company,clickedEntityId:7956715,idx:1-1-1,tarId:1464353969447,tas:uplatz"]},{"@type":"Person","@id":"https:\/\/uplatz.com\/blog\/#\/schema\/person\/8ecae69a21d0757bdb2f776e67d2645e","name":"uplatzblog","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/7f814c72279199f59ded4418a8653ad15f5f8904ac75e025a4e2abe24d58fa5d?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/7f814c72279199f59ded4418a8653ad15f5f8904ac75e025a4e2abe24d58fa5d?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/7f814c72279199f59ded4418a8653ad15f5f8904ac75e025a4e2abe24d58fa5d?s=96&d=mm&r=g","caption":"uplatzblog"}}]}},"_links":{"self":[{"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/posts\/3676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/comments?post=3676"}],"version-history":[{"count":2,"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/posts\/3676\/revisions"}],"predecessor-version":[{"id":3678,"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/posts\/3676\/revisions\/3678"}],"wp:attachment":[{"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/media?parent=3676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/categories?post=3676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uplatz.com\/blog\/wp-json\/wp\/v2\/tags?post=3676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}