{"id":2952269,"date":"2025-12-19T09:50:41","date_gmt":"2025-12-19T17:50:41","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2952269"},"modified":"2025-12-19T10:07:15","modified_gmt":"2025-12-19T18:07:15","slug":"whats-new-in-analytics-across-arcgis-in-q4-2025","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/whats-new-in-analytics-across-arcgis-in-q4-2025","title":{"rendered":"What&#8217;s new in Analytics across ArcGIS in Q4 2025"},"author":412218,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341],"tags":[],"industry":[],"product":[36571,36551],"class_list":["post-2952269","blog","type-blog","status-publish","format-standard","hentry","category-analytics","product-arcgis-enterprise","product-arcgis-online"],"acf":{"authors":[{"ID":358272,"user_firstname":"Halle","user_lastname":"Martinucci","nickname":"Halle Martinucci","user_nicename":"hmartinucci","display_name":"Halle Martinucci","user_email":"hmartinucci@esri.com","user_url":"","user_registered":"2024-06-18 18:43:42","user_description":"Halle is an Associate Product Marketing Manager on Esri\u2019s Spatial Analytics &amp; Data Science team.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/01\/halle-martinucci-3z7a7050-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":412218,"user_firstname":"Jett","user_lastname":"Legacion","nickname":"Jett Legacion","user_nicename":"jlegacion","display_name":"Jett Legacion","user_email":"jlegacion@esri.com","user_url":"","user_registered":"2025-10-13 21:20:26","user_description":"Jett is an Associate Product Marketing Manager for Esri's AI assistants and AI agents. She brings GIS and business experience from her studies at the University of Redlands, and loves tackling challenges. Outside the office she enjoys piano, golf, video games, and skating.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/IMG_0355-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":6481,"user_firstname":"Suzanne","user_lastname":"Foss","nickname":"Suzanne Foss","user_nicename":"sfoss_dtc","display_name":"Suzanne Foss","user_email":"SFoss@esri.com","user_url":"","user_registered":"2018-03-02 00:18:24","user_description":"Suzanne is the Product Manager for Esri's Spatial Analytics &amp; Data Science capability.  She has worked in the geographic information systems industry for over 17 years with a focus on spatiotemporal analysis, model building, real-time processing, and workflow automation.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/01\/headshot_conf-e1578952891245-202x200.png' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"We're excited to share with you powerful new capabilities, from streamlined predictive modeling to advanced AI integrations.","flexible_content":[{"acf_fc_layout":"content","content":"<p>We&#8217;re excited to share with you some of the powerful new capabilities that can transform how you analyze spatial data, automate workflows, <span class=\"TextRun SCXW94237161 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW94237161 BCX0\">and unlock insights. From streamlined\u00a0<\/span><span class=\"NormalTextRun SCXW94237161 BCX0\">predictive<\/span><span class=\"NormalTextRun SCXW94237161 BCX0\">\u00a0modeling to advanced AI integrations, these updates empower you to work smarter and faster.\u00a0<\/span><span class=\"NormalTextRun SCXW94237161 BCX0\">Let\u2019s<\/span><span class=\"NormalTextRun SCXW94237161 BCX0\">\u00a0explore\u00a0<\/span><span class=\"NormalTextRun SCXW94237161 BCX0\">the top new analytics capabilities throughout ArcGIS!<\/span><\/span><span class=\"EOP SCXW94237161 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>1. Map Viewer Analysis: Simplified field calculations in ModelBuilder<\/strong><\/h3>\n<p><span data-contrast=\"auto\">Say hello to easier data manipulation\u00a0with\u00a0ModelBuilder\u2019s\u00a0new\u00a0Calculate Field tool\u00a0(<\/span><span data-contrast=\"auto\">in\u00a0<\/span><span data-contrast=\"auto\">ArcGIS Online).\u00a0Now\u00a0you\u00a0can effortlessly\u00a0create new fields or update existing ones with calculated\u00a0values\u00a0as part of\u00a0the overall\u00a0model process. Whether\u00a0you\u2019re\u00a0calculating population density, converting units, or deriving new metrics, this tool gives you more control while reducing errors.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For example, quickly generate a population density field by dividing total population by area, making it easier to\u00a0use that\u00a0value in downstream analysis steps, or\u00a0incorporate it into\u00a0your final\u00a0output\u00a0to\u00a0spot trends and pull meaningful insights from your\u00a0results.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>2. Predictive Analytics: Easier data prep and improved confidence in model validation<\/strong><\/h3>\n<p>Predictive analysis just became more accessible with three new tools in ArcGIS Pro 3.6 that supports different phases of your analytical workflow:<\/p>\n<ul>\n<li>The <a href=\"https:\/\/link.esri.com\/analytics-release\/NObwqXq\">Evaluate Bin Sizes for Point Aggregation<\/a> tool helps determine the optimal bin sizes for aggregating point data to scale, helping you make better decisions when preparing data for analysis.<\/li>\n<li>The <a href=\"https:\/\/link.esri.com\/analytics-release\/7Gp21pN\">Prepare Data for Prediction<\/a> tool splits features into training and testing datasets and spatially thins data to reduce sampling bias, all in one tool.<\/li>\n<li>The <a href=\"https:\/\/link.esri.com\/analytics-release\/m0CVzSI\">Evaluate Predictions with Cross-Validation<\/a> tool: Evaluate model performance using validation metrics, which helps ensure robust and unbiased model assessment. The tool works by testing the prediction model multiple times with different data splits called K-folds to get a reliable measure of how well it will perform on new, unseen data.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<h3><strong>3. GeoAI: New Hugging Face integrations unlock possibilities<\/strong><\/h3>\n<p>Text analysis capabilities have expanded with increased support for industry models. The <a href=\"https:\/\/link.esri.com\/analytics-release\/LGFNQju\">ArcGIS pre-trained deep learning models<\/a> in the <span class=\"NormalTextRun SCXW76997322 BCX0\">ArcGIS Living Atlas now\u00a0<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW76997322 BCX0\">support<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">\u00a0a wide<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">r<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">\u00a0range of Hugging Face community models,\u00a0<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW76997322 BCX0\">including:<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">entity recognition<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">,\u00a0<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">text classification<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">,\u00a0<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">text translation<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">,\u00a0<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">and more<\/span><span class=\"NormalTextRun SCXW76997322 BCX0\">.<\/span><\/p>\n<p><span class=\"TextRun SCXW228167173 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW228167173 BCX0\">This integration streamlines the use of\u00a0<\/span><span class=\"NormalTextRun SCXW228167173 BCX0\">cutting-edge<\/span><span class=\"NormalTextRun SCXW228167173 BCX0\">\u00a0AI models within ArcGIS workflows, allowing you to work more fluidly with different data types and unlock new analytical use cases<\/span><span class=\"NormalTextRun SCXW228167173 BCX0\">.<\/span><span class=\"NormalTextRun SCXW228167173 BCX0\">\u00a0<\/span><\/span><span class=\"EOP SCXW228167173 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>4. Raster Analytics: Expediting suitability and density analysis<\/strong><\/h3>\n<p><i><span data-contrast=\"auto\">Compare suitability models side-by-side<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A new model comparison interface in Suitability Modeler enables you to evaluate multiple models with different spatial requirements simultaneously.\u00a0Compare approaches based on slope, distance to roads, population density, or any other factor, making it easier to brainstorm and\u00a0identify\u00a0the\u00a0optimal\u00a0location for your project.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Simplified density analysis<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Two new percentile contour tools\u00a0in ArcGIS Pro transform what\u00a0were\u00a0once complex, multi-step processes\u00a0into single operations:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/link.esri.com\/analytics-release\/ZtVQ4zy\">Value Percentile Contours tool<\/a>: <span class=\"NormalTextRun SCXW237741749 BCX0\">Visualize areas based on density values. For example, law enforcement agencies can analyze crime density across a city, highlighting neighborhoods in spe<\/span><span class=\"NormalTextRun SCXW237741749 BCX0\">cific percentile ranges (top 10% or bottom 20%) to\u00a0<\/span><span class=\"NormalTextRun SCXW237741749 BCX0\">identify<\/span><span class=\"NormalTextRun SCXW237741749 BCX0\">\u00a0areas with unusually high or low crime rates.<\/span><\/li>\n<li><a href=\"https:\/\/link.esri.com\/analytics-release\/CTeOuvW\">Volume Percentile Contours tool<\/a>: <span class=\"NormalTextRun SCXW145100580 BCX0\">Identify<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">\u00a0the smallest geographic areas\u00a0<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">containing<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">\u00a0a specific percentage of total density volume. Using the same crime example, pinpoint areas\u00a0<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">containing<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">\u00a0the top 50% or 90% of total incidents to understand where\u00a0<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">criminal activity concentrates<\/span><span class=\"NormalTextRun SCXW145100580 BCX0\">.<\/span><\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<h3><strong>5. Graph Analytics: Enhanced visualization &amp; analytics capabilities for the web<\/strong><\/h3>\n<p><span class=\"TextRun SCXW118121816 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW118121816 BCX0\">Knowledge Studio now supports the\u00a0<\/span><\/span><a class=\"Hyperlink SCXW118121816 BCX0\" href=\"https:\/\/enterprise.arcgis.com\/en\/knowledge\/latest\/knowledge-studio\/add-entities-and-relationships-missing-from-the-link-chart.htm#ESRI_SECTION1_28B4ABCA7F1549BEAAA366F3A02FE371\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW118121816 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW118121816 BCX0\" data-ccp-charstyle=\"Hyperlink\">Filtered Find Path tool<\/span><\/span><\/a><span class=\"TextRun SCXW118121816 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW118121816 BCX0\">, giving you multiple ways to constrain shortest path queries through specific relationships and entities. Meanwhile, Map Viewer\u00a0<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\">now supports editing pop-ups and enriched Arcade expressions for Knowledge Graph layers, and\u00a0<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\">these layers\u00a0<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\">are now supported in the\u00a0<\/span><\/span><span class=\"TextRun SCXW118121816 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW118121816 BCX0\" data-ccp-charstyle=\"normaltextrun\" data-ccp-charstyle-defn=\"{&quot;ObjectId&quot;:&quot;ac0262f4-8a9e-5820-b908-2d943c5f7113|1&quot;,&quot;ClassId&quot;:1073872969,&quot;Properties&quot;:[201342446,&quot;1&quot;,201342447,&quot;5&quot;,201342448,&quot;1&quot;,201342449,&quot;1&quot;,469777841,&quot;Aptos&quot;,469777842,&quot;Arial&quot;,469777843,&quot;Aptos&quot;,469777844,&quot;Aptos&quot;,201341986,&quot;1&quot;,469769226,&quot;Aptos,Arial&quot;,268442635,&quot;24&quot;,469775450,&quot;normaltextrun&quot;,201340122,&quot;1&quot;,134233614,&quot;true&quot;,469778129,&quot;normaltextrun&quot;,335572020,&quot;1&quot;,469778324,&quot;Default Paragraph Font&quot;]}\">ArcGIS Instant Apps Basic\u00a0<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\" data-ccp-charstyle=\"normaltextrun\">(<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\" data-ccp-charstyle=\"normaltextrun\">Media\u00a0<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\" data-ccp-charstyle=\"normaltextrun\">Map)\u00a0<\/span><span class=\"NormalTextRun SCXW118121816 BCX0\" data-ccp-charstyle=\"normaltextrun\">template.<\/span><\/span><span class=\"EOP SCXW118121816 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span class=\"TextRun SCXW8087584 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW8087584 BCX0\">In Pro 3.6, the\u00a0<\/span><\/span><a class=\"Hyperlink SCXW8087584 BCX0\" href=\"https:\/\/link.esri.com\/analytics-release\/O0fCDGL\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW8087584 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW8087584 BCX0\" data-ccp-charstyle=\"Hyperlink\">Find Path tool<\/span><\/span><\/a><span class=\"TextRun SCXW8087584 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW8087584 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW8087584 BCX0\">is enhanced with a Least Cost Path and Cycle handling features, enabling more use cases like multi-modal or quick\/high-level routing, and finding fraud ring transactions.\u00a0<\/span><\/span><span class=\"EOP SCXW8087584 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>6. 3D Data: New support for Gaussian Splats<\/strong><\/h3>\n<p>ArcGIS Pro 3.6 now supports a new layer type called <a href=\"https:\/\/link.esri.com\/analytics-release\/PLXcsCj\">Gaussian Splat layers<\/a> that deliver photorealistic 3D visualization. These layers are georeferenced, so they align accurately with your spatial data, and they can be shared and viewed directly in ArcGIS Pro without converting to multiple formats. This reduces data duplication and saves storage, streamlining workflows, especially for reality mapping and urban modeling projects where creating lifelike environments is essential.<\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>7. Automation: Improvements &amp; new resources for low-code, no-code automation<\/strong><\/h3>\n<p><em>ArcGIS Data Pipelines (Beta) in ArcGIS Enterprise 12.0<\/em><\/p>\n<p>ArcGIS Data Pipelines is <a href=\"https:\/\/link.esri.com\/analytics-release\/9rTKTxQ\">now available in beta for ArcGIS Enterprise<\/a> organizations. Run data pipelines on a schedule with options to replace, append, update, or overwrite data, keeping your data current without manual intervention. This no-code application replaces repetitive workflows and Python scripts, dramatically boosting efficiency.<\/p>\n<p><em>ModelBuilder Makeover<\/em><\/p>\n<p>ArcGIS Pro 3.6 features a completely <a href=\"https:\/\/link.esri.com\/analytics-release\/Z0RsUx6\">redesigned ModelBuilder interface<\/a> with improved usability, responsiveness, and layout clarity. The consistent look and feel across ArcGIS Online and ArcGIS Pro makes building and managing geoprocessing workflows more intuitive than ever.<\/p>\n<p><em>Ready-to-use ArcGIS Notebooks templates<\/em><\/p>\n<p>ArcGIS Notebooks now include <a href=\"https:\/\/link.esri.com\/analytics-release\/b8utoLI\">pre-defined templates<\/a> for:<\/p>\n<ul>\n<li>Administrative tasks<\/li>\n<li>Content management<\/li>\n<li>Analysis and data science<\/li>\n<li>Mapping workflows<\/li>\n<li>Deep learning<\/li>\n<\/ul>\n<p>Start faster, maintain consistency, and support a wider range of workflows with these ready-to-use starting points.<\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>8. Microsoft Fabric Integration: Geospatial Analytics Meets Enterprise Data<\/strong><\/h3>\n<p><i><span data-contrast=\"auto\">ArcGIS\u00a0GeoAnalytics\u00a0for Microsoft Fabric (General\u00a0availability)<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This new\u00a0<\/span><a href=\"https:\/\/link.esri.com\/analytics-release\/XRaxSge\"><span data-contrast=\"none\">Spark library<\/span><\/a><span data-contrast=\"auto\">\u00a0brings geospatial analytics directly into Fabric&#8217;s data science and data engineering workloads. Discover where things are occurring, how they relate, and which actions to pursue\u2014all within Microsoft Fabric Spark notebooks. Seamlessly integrate, transform, enrich, and analyze geospatial data alongside your enterprise data\u00a0in the cloud.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">\u00a0<\/span><i><span data-contrast=\"auto\">ArcGIS Maps for Microsoft Fabric (Public Preview)<\/span><\/i><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Try\u00a0<a href=\"https:\/\/link.esri.com\/analytics-release\/oHruUY2\">ArcGIS Maps for Microsoft Fabric<\/a>\u00a0at no cost during\u00a0<\/span><a href=\"https:\/\/link.esri.com\/analytics-release\/7kIA5c1\"><span data-contrast=\"none\">the public preview<\/span><\/a><span data-contrast=\"auto\">. This intelligent mapping capability adapts to any data, providing smart suggestions for visualization while giving you complete control. Visualize business data alongside critical infrastructure, environmental, and demographic data to see patterns, relationships, and trends that tables and basic maps\u00a0can&#8217;t\u00a0reveal.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3><strong>Bringing it all together<\/strong><\/h3>\n<p><span class=\"TextRun SCXW126629782 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW126629782 BCX0\">These analytics enhancements\u00a0<\/span><span class=\"NormalTextRun SCXW126629782 BCX0\">represent<\/span><span class=\"NormalTextRun SCXW126629782 BCX0\">\u00a0a major leap forward in making sophisticated spatial analysis more accessible, efficient, and powerful. Whether\u00a0<\/span><span class=\"NormalTextRun SCXW126629782 BCX0\">you&#8217;re<\/span><span class=\"NormalTextRun SCXW126629782 BCX0\">\u00a0conducting predictive modeling,\u00a0<\/span><span class=\"NormalTextRun CommentStart SCXW126629782 BCX0\">creating photorealistic 3D visualizations<\/span><span class=\"NormalTextRun SCXW126629782 BCX0\">, or automating complex workflows, the latest ArcGIS releases provide the tools you need to unlock deeper insights and make better decisions.<\/span><\/span><span class=\"EOP SCXW126629782 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<h3>&#8230;Plus, what&#8217;s coming!<\/h3>\n<p><span class=\"TextRun SCXW267306963 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW267306963 BCX0\">We\u2019re<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0working on\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">capabilities<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">to make your\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">N<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">otebook<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">s<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0workflows even\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">easier\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">&#8211; <\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">an<\/span><\/span><span class=\"TextRun SCXW267306963 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">AI\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">A<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">ssistant that is\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">optimized<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0to understand and write code for the ArcGIS Python Libraries.\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">You<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u2019ll<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0be able to<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0pass in natural language prompts to generate new Python code, explain code you\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">don\u2019t<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0understand, and fix code that is broken.\u202f<\/span><\/span><span class=\"TextRun SCXW267306963 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW267306963 BCX0\">Coming to\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">beta\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">in early 2026,\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">with an Early Adopter Community<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u00a0that\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">lets you test and give feedback, the ArcGIS Notebook assistant is\u00a0<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">almost here<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">.<\/span><span class=\"NormalTextRun SCXW267306963 BCX0\">\u202f<\/span><\/span><span class=\"EOP SCXW267306963 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"}],"related_articles":"","show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Untitled-1.png","wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What&#039;s new in Analytics across ArcGIS in Q4 2025<\/title>\n<meta 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