{"id":139093,"date":"2026-09-25T17:05:17","date_gmt":"2026-09-25T11:35:17","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=139093"},"modified":"2026-09-25T17:05:18","modified_gmt":"2026-09-25T11:35:18","slug":"forward-deployed-engineering-in-manufacturing","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/forward-deployed-engineering-in-manufacturing\/","title":{"rendered":"Forward Deployed Engineering in Manufacturing and Industrial AI"},"content":{"rendered":"\n<p><strong>Forward deployed engineering in manufacturing<\/strong> brings software engineering, artificial intelligence, data, and industrial operations together to solve real-world production challenges. As manufacturers adopt connected machines, automation, and industrial AI, they need engineers who can integrate these technologies into existing factory environments.<\/p>\n\n\n\n<p>FDEs can work on problems such as predictive maintenance, quality inspection, production optimization, and supply chain analytics. Unlike traditional software projects, manufacturing deployments often involve physical equipment, sensor data, legacy systems, and strict operational requirements.<\/p>\n\n\n\n<p>This article explores how forward deployed engineering is being applied in manufacturing, where industrial AI creates opportunities for FDEs, the technical skills required, and the challenges engineers must overcome when deploying solutions in real production environments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>TL;DR Summary<\/strong><\/h3>\n\n\n\n<ul>\n<li><strong>Forward deployed engineering manufacturing<\/strong> combines software engineering, industrial technology, and customer-focused problem-solving.<\/li>\n\n\n\n<li>FDEs help manufacturers deploy AI, automation, analytics, and connected systems in real production environments.<\/li>\n\n\n\n<li>Common applications include predictive maintenance, quality inspection, production optimization, and supply chain analytics.<\/li>\n\n\n\n<li>FDEs need skills in APIs, Python, databases, cloud, AI, IoT, data pipelines, and troubleshooting.<\/li>\n\n\n\n<li>Manufacturing deployments must account for machines, legacy systems, operational constraints, safety, and unreliable data.<\/li>\n\n\n\n<li>Successful industrial AI projects require engineers to understand both the technology and the customer&#8217;s physical operations.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is Forward Deployed Engineering in Manufacturing?<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.guvi.in\/blog\/what-is-a-forward-deployed-engineer\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Forward deployed engineering<\/strong><\/a><strong> in manufacturing<\/strong> involves working directly with manufacturers to design, integrate, deploy, and improve technology solutions within real industrial environments.<\/p>\n\n\n\n<p>Unlike traditional software development, where engineers may work primarily with digital systems, manufacturing FDEs often work with a combination of software, machines, sensors, databases, industrial control systems, and production workflows.<\/p>\n\n\n\n<p>For example, a manufacturer may want to use <a href=\"https:\/\/www.guvi.in\/blog\/what-is-artificial-intelligence\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI<\/a> to identify defects on a production line. An FDE may need to connect camera feeds, collect production data, integrate an AI model, build a monitoring interface, and deploy the system without disrupting factory operations.<\/p>\n\n\n\n<p>This makes manufacturing FDE work highly practical and environment-specific.<\/p>\n\n\n\n<p>Explore the skills needed to build real-world AI solutions with <strong>HCL GUVI&#8217;s <\/strong><a href=\"https:\/\/www.guvi.in\/mlp\/artificial-intelligence-and-machine-learning?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=forward-deployed-engineering-manufacturing\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Artificial Intelligence &amp; Machine Learning Course<\/strong><\/a>. Gain practical experience in AI, machine learning, and application development through hands-on projects.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Does Manufacturing Need Forward Deployed Engineers?<\/strong><\/h2>\n\n\n\n<p>Modern factories generate large amounts of operational data from machines, sensors, production systems, and enterprise applications.<\/p>\n\n\n\n<p>However, collecting data is only part of the challenge.<\/p>\n\n\n\n<p>Manufacturers also need to:<\/p>\n\n\n\n<ul>\n<li>Connect systems that were built separately.<\/li>\n\n\n\n<li>Understand machine and production data.<\/li>\n\n\n\n<li>Automate repetitive workflows.<\/li>\n\n\n\n<li>Detect equipment problems.<\/li>\n\n\n\n<li>Improve product quality.<\/li>\n\n\n\n<li>Reduce downtime.<\/li>\n\n\n\n<li>Optimize production processes.<\/li>\n<\/ul>\n\n\n\n<p>Many factories also operate with a mixture of modern cloud systems and older industrial technology.<\/p>\n\n\n\n<p>FDEs help bridge these environments by connecting modern software and AI capabilities with existing manufacturing infrastructure.<\/p>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-size: 18px; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 750px;\"> \n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1 Did You Know?<\/strong> \n  <br \/><br \/> \n  A manufacturing environment can contain both highly automated machinery and decades-old software systems. This makes integration and deployment skills particularly valuable for engineers working on industrial AI.\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Is Industrial AI Creating Opportunities for FDEs?<\/strong><\/h2>\n\n\n\n<p>Industrial AI applies artificial intelligence and <a href=\"https:\/\/www.guvi.in\/blog\/introduction-to-machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">machine learning<\/a> to manufacturing operations.<\/p>\n\n\n\n<p>FDEs can help customers move AI from an experimental model to a working production solution.<\/p>\n\n\n\n<p>A typical industrial AI workflow may look like:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><strong>Data Collection \u2192 Data Processing \u2192 Model Development \u2192 Testing \u2192 Integration \u2192 Deployment \u2192 Monitoring<\/strong><\/code><\/pre>\n\n\n\n<p>The FDE&#8217;s role can span several of these stages.<\/p>\n\n\n\n<p>For example, a machine learning model may perform well in a development environment but fail when exposed to noisy sensor data from an actual factory. The FDE needs to identify the problem, work with the customer, improve the pipeline, and deploy a reliable solution.<\/p>\n\n\n\n<p>This combination of AI and deployment makes industrial environments a natural fit for forward deployed engineering.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Manufacturing Problems Can FDEs Solve?<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1200\" height=\"630\" src=\"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479-1200x630.png\" alt=\"What Manufacturing Problems Can FDEs Solve?\" class=\"wp-image-139096\" srcset=\"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479-1200x630.png 1200w, https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479-300x158.png 300w, https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479-768x403.png 768w, https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479-1536x807.png 1536w, https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479-150x79.png 150w, https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/image-479.png 1731w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" title=\"\"><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Predictive Maintenance<\/strong><\/h3>\n\n\n\n<p>FDEs can help manufacturers use machine and sensor data to identify patterns associated with equipment failures.<\/p>\n\n\n\n<p>Instead of waiting for a machine to fail, predictive systems can help maintenance teams identify potential issues earlier.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Quality Inspection<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.guvi.in\/blog\/computer-vision-projects-for-beginners\/\" target=\"_blank\" rel=\"noreferrer noopener\">Computer vision <\/a>models can analyze images or video from production lines to identify defects.<\/p>\n\n\n\n<p>An FDE may integrate cameras, inference systems, production databases, and alerting workflows.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Production Optimization<\/strong><\/h3>\n\n\n\n<p>Manufacturers can use operational data to identify bottlenecks and improve production processes.<\/p>\n\n\n\n<p>FDEs can build dashboards, analytics pipelines, or AI systems that help teams understand production performance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Inventory and Supply Chain<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.ibm.com\/think\/topics\/data-integration\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Data integration<\/a> can connect production information with inventory, procurement, and supply chain systems.<\/p>\n\n\n\n<p>This can help organizations improve visibility into materials and production requirements.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Worker and Process Assistance<\/strong><\/h3>\n\n\n\n<p>AI assistants can help employees access equipment documentation, troubleshooting procedures, maintenance information, or operational instructions.<\/p>\n\n\n\n<p>An FDE can connect these AI systems to approved internal knowledge sources.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Which Skills Do Manufacturing FDEs Need?<\/strong><\/h2>\n\n\n\n<p>Manufacturing FDEs need a broad technical foundation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Software and Data Skills<\/strong><\/h3>\n\n\n\n<p>Important areas include:<\/p>\n\n\n\n<ul>\n<li><a href=\"https:\/\/www.guvi.in\/hub\/python\/\" target=\"_blank\" rel=\"noreferrer noopener\">Python<\/a><\/li>\n\n\n\n<li>APIs<\/li>\n\n\n\n<li>SQL<\/li>\n\n\n\n<li>Databases<\/li>\n\n\n\n<li>Data pipelines<\/li>\n\n\n\n<li><a href=\"https:\/\/www.guvi.in\/blog\/aws-vs-azure-vs-google-cloud\/\">Cloud <\/a><a href=\"https:\/\/www.guvi.in\/blog\/aws-vs-azure-vs-google-cloud\/\" target=\"_blank\" rel=\"noreferrer noopener\">platforms<\/a><\/li>\n\n\n\n<li>Git<\/li>\n\n\n\n<li>Automation<\/li>\n\n\n\n<li>Monitoring<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. AI Skills<\/strong><\/h3>\n\n\n\n<p>Depending on the role, FDEs may work with:<\/p>\n\n\n\n<ul>\n<li>Machine learning<\/li>\n\n\n\n<li>Computer vision<\/li>\n\n\n\n<li>Time-series analysis<\/li>\n\n\n\n<li><a href=\"https:\/\/www.guvi.in\/blog\/what-is-generative-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Generative AI<\/a><\/li>\n\n\n\n<li>Model evaluation<\/li>\n\n\n\n<li>Edge AI<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Industrial Technology<\/strong><\/h3>\n\n\n\n<p>Understanding industrial environments is also useful.<\/p>\n\n\n\n<p>Relevant concepts include:<\/p>\n\n\n\n<ul>\n<li><a href=\"https:\/\/www.guvi.in\/blog\/what-is-iot\/\" target=\"_blank\" rel=\"noreferrer noopener\">IoT<\/a><\/li>\n\n\n\n<li>Sensors<\/li>\n\n\n\n<li>Machine data<\/li>\n\n\n\n<li>Industrial networks<\/li>\n\n\n\n<li>Manufacturing execution systems<\/li>\n\n\n\n<li>Production workflows<\/li>\n\n\n\n<li>Operational technology<\/li>\n<\/ul>\n\n\n\n<p>An FDE does not need to be an industrial engineer in every role, but understanding how factories operate makes technical problem-solving much more effective.<\/p>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><strong>Pro Tip:<\/strong> When preparing for a manufacturing FDE role, build a project using simulated machine or sensor data. Add anomaly detection, a dashboard, and an alerting workflow to demonstrate both AI and deployment skills.<\/p><\/blockquote><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Challenges Do FDEs Face in Manufacturing?<\/strong><\/h2>\n\n\n\n<p>Manufacturing deployments come with unique constraints.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Legacy Infrastructure<\/strong><\/h3>\n\n\n\n<p>Factories may depend on older machines, databases, and industrial systems that were not designed for modern cloud applications.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Data Quality<\/strong><\/h3>\n\n\n\n<p>Sensor data can contain missing values, noise, inconsistent timestamps, or unexpected readings.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Real-Time Requirements<\/strong><\/h3>\n\n\n\n<p>Some production applications need extremely fast responses. Sending every operation to a distant cloud service may not be practical.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Operational Disruption<\/strong><\/h3>\n\n\n\n<p>Engineers cannot treat a production line like a normal development environment. Changes may need to be tested carefully to avoid disrupting operations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Security<\/strong><\/h3>\n\n\n\n<p>Connecting operational technology to networks and modern applications creates additional security considerations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Physical Environment<\/strong><\/h3>\n\n\n\n<p>Temperature, connectivity, equipment limitations, and physical production conditions can affect technical solutions.<\/p>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><strong>Warning:<\/strong> A model that performs well on clean historical data may not work reliably on real factory data. Test solutions with realistic production conditions before relying on them for operational decisions.<\/p><\/blockquote><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Should FDEs Approach a Manufacturing Deployment?<\/strong><\/h2>\n\n\n\n<p>A structured deployment process can reduce risk.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Understand the Production Workflow<\/strong><\/h3>\n\n\n\n<p>Learn how machines, operators, software systems, and business processes interact.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Identify Available Data<\/strong><\/h3>\n\n\n\n<p>Determine where machine, sensor, production, quality, and inventory data is stored.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Define the Business Problem<\/strong><\/h3>\n\n\n\n<p>Focus on measurable outcomes such as reduced downtime, improved quality, lower waste, or faster production.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Build a Small Proof of Concept<\/strong><\/h3>\n\n\n\n<p>Start with a limited production line, machine, dataset, or workflow.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Test Under Realistic Conditions<\/strong><\/h3>\n\n\n\n<p>Evaluate performance using realistic data and operational constraints.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 6: Integrate With Existing Systems<\/strong><\/h3>\n\n\n\n<p>Connect the solution with dashboards, databases, alerts, or production workflows.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 7: Deploy and Monitor<\/strong><\/h3>\n\n\n\n<p>Track model performance, system health, data quality, and business outcomes after deployment.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 8: Scale Gradually<\/strong><\/h3>\n\n\n\n<p>Once the solution proves its value, expand it to additional machines, production lines, or facilities.<\/p>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><strong>Best Practice:<\/strong> In manufacturing, prioritize measurable operational improvements over technically impressive prototypes. A simple system that reliably reduces downtime can be more valuable than a complex AI model that never reaches production.<\/p><\/blockquote><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Start Your Learning Journey with HCL GUVI<\/strong><\/h2>\n\n\n\n<p>Explore the skills needed to build real-world AI solutions with <strong>HCL GUVI&#8217;s <\/strong><a href=\"https:\/\/www.guvi.in\/mlp\/artificial-intelligence-and-machine-learning?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=forward-deployed-engineering-manufacturing\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Artificial Intelligence &amp; Machine Learning Course<\/strong><\/a>. Gain practical experience in AI, machine learning, and application development through hands-on projects.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p><strong>Forward deployed engineering in manufacturing<\/strong> sits at the intersection of software engineering, AI, data, and industrial operations. As manufacturers adopt connected machines, analytics, automation, and industrial AI, they need engineers who can move beyond prototypes and make these technologies work in real production environments.<\/p>\n\n\n\n<p>For aspiring FDEs, manufacturing offers opportunities to solve practical problems such as equipment failures, quality issues, production bottlenecks, and disconnected data. The strongest engineers combine technical skills with an understanding of factory workflows, operational constraints, and measurable business outcomes. That combination can make forward deployed engineering an important part of the future of industrial AI.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1789449233051\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>What is forward deployed engineering in manufacturing?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Forward deployed engineering in manufacturing involves designing, integrating, deploying, and improving software and AI solutions directly within manufacturing environments.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1789449238506\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>What does a manufacturing FDE work on?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Manufacturing FDEs can work on predictive maintenance, computer vision, quality inspection, production analytics, supply chain systems, automation, and industrial AI applications.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1789449247726\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>What skills should a manufacturing FDE learn?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Useful skills include Python, APIs, SQL, databases, cloud platforms, machine learning, computer vision, IoT, data pipelines, monitoring, and troubleshooting.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1789449256121\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Why is industrial AI important for FDEs?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Industrial AI allows manufacturers to use machine and operational data for tasks such as predictive maintenance, defect detection, process optimization, and automated decision support.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1789449263849\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>What challenges do FDEs face in manufacturing?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Common challenges include legacy systems, poor-quality sensor data, real-time requirements, production constraints, cybersecurity concerns, and the need to avoid disrupting factory operations.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1789449272419\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>How can I prepare for a manufacturing FDE role?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Build projects involving sensor data, machine learning, computer vision, APIs, dashboards, and monitoring. Also learn basic manufacturing workflows and practice explaining technical solutions in terms of measurable operational outcomes.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Forward deployed engineering in manufacturing brings software engineering, artificial intelligence, data, and industrial operations together to solve real-world production challenges. As manufacturers adopt connected machines, automation, and industrial AI, they need engineers who can integrate these technologies into existing factory environments. FDEs can work on problems such as predictive maintenance, quality inspection, production optimization, and [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":139100,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1043],"tags":[],"views":"23","authorinfo":{"name":"HCL GUVI","url":"https:\/\/www.guvi.in\/blog\/author\/guvipr\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/09\/Forward-Deployed-Engineering-in-Manufacturing-and-Industrial-AI-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/139093"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=139093"}],"version-history":[{"count":4,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/139093\/revisions"}],"predecessor-version":[{"id":140842,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/139093\/revisions\/140842"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/139100"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=139093"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=139093"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=139093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}