{"id":42661,"date":"2025-11-17T12:47:19","date_gmt":"2025-11-17T12:47:19","guid":{"rendered":"https:\/\/smarttechgroup.com.tr\/?p=42661"},"modified":"2026-01-30T14:47:19","modified_gmt":"2026-01-30T14:47:19","slug":"confluent-real-time-context-engine","status":"publish","type":"post","link":"https:\/\/smarttechgroup.com.tr\/en\/2025\/11\/17\/confluent-real-time-context-engine\/","title":{"rendered":"Confluent Real-Time Context Engine"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"42661\" class=\"elementor elementor-42661\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b793c8a e-con-full e-flex e-con e-parent\" data-id=\"b793c8a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t<div class=\"elementor-element elementor-element-efcfcdf e-con-full e-flex e-con e-child\" data-id=\"efcfcdf\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eccf996 elementor-widget elementor-widget-the7-heading\" data-id=\"eccf996\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"the7-heading-title elementor-size-default\">Real-Time Context Engine<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b82229 elementor-widget elementor-widget-text-editor\" data-id=\"4b82229\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-weight: 400;\">Confluent,\u00a0<strong>Confluent Intelligence<\/strong>\u00a0new solution developed as part of its vision\u00a0<strong>Real-Time Context Engine<\/strong>\u2019s solution. This solution,\u00a0<strong>Apache Kafka\u00ae<\/strong>\u00a0and\u00a0<strong>Apache Flink\u00ae<\/strong>\u00a0technologies, aiming to deliver real-time data directly to artificial intelligence (AI) systems in the production environment.<\/p><p style=\"font-weight: 400;\">Kafka and Flink are the data backbone of many AI projects today. They collect events, process them in real time and turn them into clean, enriched data streams.<br \/>But presenting this data in a form that AI systems can use directly remains a major challenge. Teams;<\/p><ul><li>matching disparate data models,<\/li><li>implement access and governance policies across different resources,<\/li><li>re-establishing all pipelines whenever there is the slightest change in the schema or upstream systems<br \/>time-consuming processes such as the use of the internet.<\/li><\/ul><p style=\"font-weight: 400;\">So what's missing is the data\u00a0<strong>consistent, secure and instantly queryable<\/strong>\u00a0a \u201cservice layer\u201d.<\/p><p style=\"font-weight: 400;\">Here you go\u00a0<strong>Real-Time Context Engine<\/strong>, solves this \u201clast-mile\u201d problem. Operating as a managed service on the Confluent Cloud, this solution continuously enriches enterprise data to create a high-speed\u00a0<strong>in-memory cache<\/strong>\u00a0and transforms this data\u00a0<strong>Model Context Protocol (MCP)<\/strong>\u00a0directly to artificial intelligence systems.<\/p><p style=\"font-weight: 400;\">The complex infrastructure of Kafka and Flink takes a back seat; developers just ask for the data they need and it arrives instantly, live and ready to use.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3eeac7 elementor-widget elementor-widget-image\" data-id=\"f3eeac7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"908\" height=\"284\" src=\"https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Real-Time-Context-Engine.png\" class=\"attachment-large size-large wp-image-42666\" alt=\"\" srcset=\"https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Real-Time-Context-Engine.png 908w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Real-Time-Context-Engine-300x94.png 300w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Real-Time-Context-Engine-768x240.png 768w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Real-Time-Context-Engine-18x6.png 18w\" sizes=\"(max-width: 908px) 100vw, 908px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Confluent Real-Time Context Engine<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4efff8c e-con-full e-flex e-con e-child\" data-id=\"4efff8c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-79436cc elementor-widget elementor-widget-the7-heading\" data-id=\"79436cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"the7-heading-title elementor-size-default\">Why Existing Approaches Fall Short<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bdaac91 elementor-widget elementor-widget-text-editor\" data-id=\"bdaac91\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-weight: 400;\">Today, many organizations use two basic methods to provide data for AI applications. But these approaches often lack both real-time access and rich context.<\/p><ul><li>Connecting source systems directly to AI models:<br \/>In this method, systems are opened directly over Model Context Protocol (MCP). However, the raw data is not sufficiently contextualized and creates a serious burden in terms of security and access management.<\/li><li>Batch process the data and transfer it to the service layer:<br \/>In this method, data is prepared in advance and uploaded to a database. However, the fact that the data is outdated even at the moment it is uploaded eliminates the real-time experience.<\/li><\/ul><p style=\"font-weight: 400;\">Either way, organizations either gain \u201crich context\u201d but lose immediate relevance, or they gain \u201creal-time access\u201d but lose context.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4919067 e-con-full e-flex e-con e-child\" data-id=\"4919067\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a51db44 elementor-widget elementor-widget-the7-heading\" data-id=\"a51db44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"the7-heading-title elementor-size-default\">The Basic Requirement for Artificial Intelligence: Real-Time Data Flow <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b5167a elementor-widget elementor-widget-image\" data-id=\"9b5167a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"378\" src=\"https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Flink-Kafka-1024x378.png\" class=\"attachment-large size-large wp-image-42667\" alt=\"Flink-Kafka\" srcset=\"https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Flink-Kafka-1024x378.png 1024w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Flink-Kafka-300x111.png 300w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Flink-Kafka-768x283.png 768w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Flink-Kafka-18x7.png 18w, https:\/\/smarttechgroup.com.tr\/wp-content\/uploads\/2025\/11\/Flink-Kafka.png 1390w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Kafka and Flink allow you to stream and process continuous events through a commit log, as well as replay history exactly as it happened.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b1fb32 elementor-widget elementor-widget-text-editor\" data-id=\"7b1fb32\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-weight: 400;\">Real-time AI systems need a continuous and event-based data stream.<br \/>Technologies such as Apache Kafka and Apache Flink fulfill this requirement, offering the capacity to process events on the fly and replay historical data.<\/p><p style=\"font-weight: 400;\">According to Confluent, without streaming data, AI systems cannot capture the \u201cmoment\u201d.<br \/>Therefore, flow architecture plays a critical role for systems that can make real-time decisions and adapt according to the situation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-288e3be e-con-full e-flex e-con e-child\" data-id=\"288e3be\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-035dc2a elementor-widget elementor-widget-text-editor\" data-id=\"035dc2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3 style=\"font-weight: 400;\"><strong>How Does the Real-Time Context Engine Work?<\/strong><\/h3><p style=\"font-weight: 400;\">Confluent's new solution <strong>Real-Time Context Engine<\/strong>, works as a managed service built on a streaming data platform.<\/p><p style=\"font-weight: 400;\">\u00a0<\/p><p style=\"font-weight: 400;\"><strong>Key Features:<\/strong><\/p><ul><li>It converts continuous incoming data into an in-memory cache, enriching it on the fly.<\/li><li>It provides a standard interface via MCP (Model Context Protocol) to provide data to AI models.<\/li><li>It hides the complexity of Kafka and Flink in the background, making it easy for developers to just \u201cask for the data needed\u201d.<\/li><li>Enterprise requirements such as security, access control and auditing are built-in.<\/li><li>It reprocesses the data whenever there is a change in the source systems, so the models always remain consistent.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8750da elementor-align-left elementor-widget elementor-widget-the7_icon_widget\" data-id=\"f8750da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7_icon_widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"the7-icon-wrapper the7-elementor-widget\"><div class=\"elementor-icon\"><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-question-circle\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z\"><\/path><\/svg><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b4627a9 e-con-full e-flex e-con e-child\" data-id=\"b4627a9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f3670a elementor-widget elementor-widget-the7-heading\" data-id=\"1f3670a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"the7-heading-title elementor-size-default\">Advantages for Businesses<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1856a7d elementor-widget elementor-widget-text-editor\" data-id=\"1856a7d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-weight: 400;\"><strong>Always up-to-date and contextual data:<\/strong>\u00a0Real-time access to the latest and meaningful data for AI models.<\/p><p style=\"font-weight: 400;\"><strong>Rapid development:<\/strong> Developers can focus on functional solutions without dealing with complex data architecture.<\/p><p style=\"font-weight: 400;\"><strong>Performance improvement:<\/strong> Pre-processed data reduces model prediction and decision times.<\/p><p style=\"font-weight: 400;\"><strong>Corporate security:<\/strong> Access control, auditing and compliance standards are built in.<\/p><p style=\"font-weight: 400;\"><strong>A single data infrastructure:<\/strong>\u00a0It unifies analytical and operational systems into a single real-time data backbone.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e147a5 elementor-widget elementor-widget-the7-heading\" data-id=\"7e147a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"the7-heading-title elementor-size-default\">Conclusion<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-088d5d4 elementor-widget elementor-widget-text-editor\" data-id=\"088d5d4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-weight: 400;\">To get the most out of AI, it is no longer enough just to have the data; it needs to be in the right context, up-to-date and accessible.<\/p><p style=\"font-weight: 400;\">Confluent's Real-Time Context Engine solution enables this transformation for businesses:<br \/>streaming data into AI systems in real time, with rich context.<\/p><p style=\"font-weight: 400;\">This enables organizations to make decisions based not only on data, but also on the right information at the right time.<\/p><p style=\"font-weight: 400;\">For detailed information\u00a0<a href=\"https:\/\/smarttechgroup.com.tr\/en\/contact\/\">our contact form<\/a>\u00a0by filling out the form to request us to contact you.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee083e8 elementor-align-left elementor-widget elementor-widget-the7_button_widget\" data-id=\"ee083e8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"the7_button_widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\"><a href=\"https:\/\/smarttechgroup.com.tr\/en\/blog\/\" class=\"box-button elementor-button elementor-size-sm\">Check out our blog posts<\/a><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Confluent, Confluent Intelligence vizyonunun bir par\u00e7as\u0131 olarak geli\u015ftirdi\u011fi yeni \u00e7\u00f6z\u00fcm\u00fc Real-Time Context Engine\u2019i tan\u0131tt\u0131. Bu \u00e7\u00f6z\u00fcm, Apache Kafka\u00ae ve Apache Flink\u00ae teknolojilerinin&#8230;<\/p>","protected":false},"author":2,"featured_media":42662,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[169],"tags":[22],"class_list":["post-42661","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-yazilari","tag-cover-post"],"_links":{"self":[{"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/posts\/42661","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/comments?post=42661"}],"version-history":[{"count":24,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/posts\/42661\/revisions"}],"predecessor-version":[{"id":42705,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/posts\/42661\/revisions\/42705"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/media\/42662"}],"wp:attachment":[{"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/media?parent=42661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/categories?post=42661"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smarttechgroup.com.tr\/en\/wp-json\/wp\/v2\/tags?post=42661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}