{"id":220683,"date":"2026-10-08T05:27:29","date_gmt":"2026-10-08T05:27:29","guid":{"rendered":"https:\/\/10pearls.com\/uk\/blog\/\/"},"modified":"2026-10-08T06:37:24","modified_gmt":"2026-10-08T06:37:24","slug":"ai-opportunity-enterprise-data","status":"publish","type":"post","link":"https:\/\/10pearls.com\/uk\/blog\/ai-opportunity-enterprise-data\/","title":{"rendered":"The AI Opportunity in Enterprise Data"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"220683\" class=\"elementor elementor-220683\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f9d254 e-flex e-con-boxed e-con e-parent\" data-id=\"4f9d254\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2cfa50b elementor-widget__width-initial indigo-h1 elementor-widget elementor-widget-heading\" data-id=\"2cfa50b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">The AI Opportunity Hiding Underneath Enterprise Data<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7deb589 elementor-icon-list--layout-inline elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"7deb589\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items elementor-inline-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"81\" height=\"81\" viewBox=\"0 0 81 81\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M41.9662 0.167969C54.7101 0.167969 65.9976 6.21222 73.207 15.5335C70.8038 14.2955 68.1822 13.4216 65.5606 12.8391L64.2498 12.6206L62.5749 12.4749H57.9871L56.1665 12.6206C45.1704 14.514 36.8686 22.2331 33.8829 32.6467C33.2275 34.9771 32.9362 37.3074 32.9362 39.7105C32.9362 44.5168 34.1014 49.2502 36.5773 53.4011C40.7282 60.392 48.0104 65.4168 56.5306 66.5819L58.3512 66.7276H62.7934L64.6139 66.5819C67.5996 66.0722 70.4397 65.1255 73.0613 63.7419C65.5606 73.4272 53.5449 79.5443 40.2184 78.9617C19.8282 78.0879 3.29751 61.5572 2.49646 41.1669C1.69541 18.7377 19.6825 0.167969 41.9662 0.167969ZM21.8672 65.6353H30.8972V14.1499H12.4003L17.862 23.4711H21.8672V65.6353Z\" fill=\"black\"><\/path><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M60.5396 20.9219C70.8803 20.9219 79.2549 29.2964 79.2549 39.6372C79.2549 49.978 70.8803 58.3526 60.5396 58.3526C50.1988 58.3526 41.8242 49.978 41.8242 39.6372C41.8242 29.2964 50.1988 20.9219 60.5396 20.9219Z\" fill=\"black\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">10Pearls Editorial Team<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-circle\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">10 min read<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f2b385d e-flex e-con-boxed e-con e-parent\" data-id=\"f2b385d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3f9c32d e-con-full e-flex e-con e-child\" data-id=\"3f9c32d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c7320a elementor-widget elementor-widget-heading\" data-id=\"5c7320a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66b0b66 elementor-widget elementor-widget-text-editor\" data-id=\"66b0b66\" 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>Traditional predictive systems often depend on manually engineered features that can limit how much context they extract from complex enterprise data. Transformer-based predictive models are capable of learning from richer sequences and relationships, creating new opportunities to improve risk detection, forecasting, and decision-making.<\/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-a13d4aa e-con-full e-flex e-con e-child\" data-id=\"a13d4aa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-7179144 e-con-full e-flex e-con e-child\" data-id=\"7179144\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-643fb29 section-head-margin-bottom elementor-widget elementor-widget-text-editor\" data-id=\"643fb29\" 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>Enterprises are collecting more data than ever and investing heavily in AI, yet predictive systems still rely on human-defined signals. While these models can uncover patterns on their own, their analysis of the problem is often shaped by the signals and features humans choose. That leaves a larger question: if enterprises already have the data, where is the next major AI opportunity?<br \/><br \/>In his latest <a href=\"https:\/\/www.forbes.com\/councils\/forbestechcouncil\/2026\/01\/29\/the-ai-iceberg-most-enterprises-are-chipping-away-at-the-surface\/\" target=\"_blank\" rel=\"noopener nofollow\" data-fpl-component=\"primitive\">Forbes Technology Council article<\/a>, Imran Aftab captures the opportunity simply, \u201cWhat lies beneath the AI iceberg is not unused data, but unused context.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94a4574 indigo-h2 section-title-margin-bottom elementor-widget elementor-widget-heading\" data-id=\"94a4574\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"complexData\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why more complex data requires a different approach<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a0ba215 section-head-margin-bottom elementor-widget elementor-widget-text-editor\" data-id=\"a0ba215\" 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>In the case of traditional predictive systems, data scientists will identify key variables, turn raw data into features, and train <a href=\"\/machine-learning\/\" target=\"_blank\" rel=\"noopener\" data-fpl-component=\"primitive\">machine learning<\/a> models to those choices. As enterprise data becomes more complex and interconnected, relying on manual feature engineering becomes harder to maintain. As behaviors shift and relationships multiply, teams must continually revisit features, thresholds, and assumptions to keep models aligned.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6db7fe indigo-h3 section-title-margin-bottom elementor-widget elementor-widget-heading\" data-id=\"a6db7fe\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"predictivePotential\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The predictive potential of transformers<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-90b49a6 section-head-margin-bottom elementor-widget elementor-widget-text-editor\" data-id=\"90b49a6\" 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><a href=\"\/artificial-intelligence\/generative-ai-development-services\/\" target=\"_blank\" rel=\"noopener\" data-fpl-component=\"primitive\">Generative AI<\/a> has largely entered organizations through capabilities like content generation, copilots, search, and workflow automation. However, the transformer architectures that power these tools can do much more than generate content.<\/p><p>Transformer-based predictive modeling offers a different approach, providing a richer picture of how a system behaves by learning from complex sequences and context, rather than relying on a predefined set of features. This enables organizations to make better use of the complexity their data already contains.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f5ff219 indigo-h3 section-title-margin-bottom elementor-widget elementor-widget-heading\" data-id=\"f5ff219\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"hiddenContext\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Turning hidden context into business value<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-152c902 section-head-margin-bottom elementor-widget elementor-widget-text-editor\" data-id=\"152c902\" 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>In practice, that richer context and ability to identify subtle relationships across data can translate directly to tangible business value with applications in many different industries, for example sharper anomaly detection, earlier risk identification, better equipment forecasting, and deeper patient insights.<\/p><p>For enterprise leaders, this represents an important shift in how they think about predictive AI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ee7f342 e-con-full e-flex e-con e-child\" data-id=\"ee7f342\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c363b98 elementor-widget elementor-widget-text-editor\" data-id=\"c363b98\" 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>The question is moving from how much data an organization can collect to how effectively its models can understand the relationships within it.<\/p>\n<p><span style=\"color: #0000ff;\">Read the full <a style=\"color: #0000ff;\" href=\"https:\/\/www.forbes.com\/councils\/forbestechcouncil\/2026\/01\/29\/the-ai-iceberg-most-enterprises-are-chipping-away-at-the-surface\/\" target=\"_blank\" rel=\"noopener nofollow\">article.<\/a><\/span><\/p>\t\t\t\t\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-3ae18e9 e-con-full e-flex e-con e-child\" data-id=\"3ae18e9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b9c5986 elementor-widget elementor-widget-heading\" data-id=\"b9c5986\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">TABLE OF CONTENTS<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a763e5 elementor-widget elementor-widget-heading\" data-id=\"4a763e5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"#complexData\">Why more complex data requires a different approach<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e222163 elementor-widget elementor-widget-heading\" data-id=\"e222163\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"#predictivePotential\">The predictive potential of transformers<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-729cfac elementor-widget elementor-widget-heading\" data-id=\"729cfac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"#hiddenContext\">Turning hidden context into business value<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3cde36e section-padding e-flex e-con-boxed e-con e-parent\" data-id=\"3cde36e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30a69f3 indigo-h2 section-head-margin-bottom elementor-widget elementor-widget-heading\" data-id=\"30a69f3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Insights<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e9a7eb elementor-widget elementor-widget-insights_section_widget\" data-id=\"7e9a7eb\" data-element_type=\"widget\" data-e-type=\"widget\" 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500px !important; }\n\t\t\t#isw-7e9a7eb.isw-v2 .isw-img-wrap { height: 402px !important; }\n\t\t\t#isw-7e9a7eb.isw-v2 .isw-img-wrap img { object-fit: fill !important; height: 95% !important; }\n\t\t}\n\n\t\t\/* Dots *\/\n\t\t#isw-7e9a7eb .isw-dots {\n\t\t\tdisplay: flex;\n\t\t\talign-items: center;\n\t\t\tjustify-content: center;\n\t\t\tgap: 16px;\n\t\t\tmargin-top: 32px;\n\t\t\theight: 36px;\n\t\t\tbox-sizing: content-box;\n\t\t}\n\t\t#isw-7e9a7eb .isw-dot {\n\t\t\twidth: 10px !important;\n\t\t\theight: 10px !important;\n\t\t\tborder-radius: 50% !important;\n\t\t\tbackground: var(--e-global-color-f527530) !important;\n\t\t\topacity: 0.25;\n\t\t\tcursor: pointer;\n\t\t\tborder: none !important;\n\t\t\tpadding: 0;\n\t\t\ttransition: width .25s ease, height .25s ease, opacity .25s ease, background .25s ease, border .25s ease;\n\t\t\tflex-shrink: 0;\n\t\t\tdisplay: block;\n\t\t\tbox-sizing: border-box;\n\t\t}\n\t\t#isw-7e9a7eb .isw-dot.active {\n\t\t\twidth: 14px !important;\n\t\t\theight: 14px !important;\n\t\t\topacity: 1 !important;\n\t\t\tbackground: var(--e-global-color-5d532a8) !important;\n\t\t\tborder: 3px solid var(--e-global-color-f527530) !important;\n\t\t}\n\n\t\t\/* Read More *\/\n\t\t#isw-7e9a7eb .isw-readmore {\n\t\t\tfont-size: 14px; font-weight: 600;\n\t\t\ttext-decoration: none; color: #171616 !important;\n\t\t\tborder-bottom: 1px solid #171616;\n\t\t\tdisplay: inline-block;\n\t\t}\n\t\t<\/style><div id=\"isw-7e9a7eb\" class=\"isw-v2\"><button class=\"isw-prev\" aria-label=\"Previous\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M15.75 19.5L8.25 12L15.75 4.5\" stroke=\"#000\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button class=\"isw-next\" aria-label=\"Next\"><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M8.25 4.5L15.75 12L8.25 19.5\" stroke=\"#000\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><div class=\"isw-outer\"><div class=\"isw-track\"><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-opportunity-enterprise-data\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/10\/The-AI-Opportunity-in-Enterprise-Data-Featured.webp\" alt=\"The AI Opportunity in Enterprise Data\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-opportunity-enterprise-data\/\">The AI Opportunity in Enterprise Data<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">Enterprises have more data than ever, but traditional predictive approaches may not be suitable to capture the context within it....<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/ai-opportunity-enterprise-data\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-pilot-failure\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/ai-pilot-failure-thumbnail.webp\" alt=\"AI Pilot Failure: Why Enterprise AI Pilots Don\u2019t Scale\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-pilot-failure\/\">AI Pilot Failure: Why Enterprise AI Pilots Don\u2019t Scale<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">AI pilot failure often stems from execution gaps. Discover why enterprise AI pilots struggle to scale, and what it takes...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/ai-pilot-failure\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-in-energy-industry\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/Understanding-the-uses-of-AI-in-energy-sector-Main-Blog-Thumbnail-1024x1024.webp\" alt=\"Understanding the uses of AI in energy sector\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-in-energy-industry\/\">Understanding the uses of AI in energy sector<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">This blog explores how AI is transforming the energy sector, the opportunities it offers in various energy domains, and what...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/ai-in-energy-industry\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/integrating-ai-with-legacy-systems\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/Integrating-AI-with-Legacy-Systems-Main-Blog-Thumbnail-1024x1024.webp\" alt=\"Integrating AI with Legacy Systems: Enterprise Guide\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/integrating-ai-with-legacy-systems\/\">Integrating AI with Legacy Systems: Enterprise Guide<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">Four in five enterprises are struggling to connect AI to the systems they already run. Four proven strategies for bridging...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/integrating-ai-with-legacy-systems\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/enterprise-ai-adoption-challenges\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/Why-AI-Adoption-Fails-In-Large-Organizations-Main-Blog-Thumbnail-1024x1024.webp\" alt=\"AI Adoption Challenges and How Enterprises Can Solve Them\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/enterprise-ai-adoption-challenges\/\">AI Adoption Challenges and How Enterprises Can Solve Them<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">Explore the key enterprise AI adoption challenges businesses face, from data and governance to talent and strategy, and discover practical...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/enterprise-ai-adoption-challenges\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-powered-devops-in-healthcare\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/ai-powered-devops-healthcare-release-cycles-thumbnail.webp\" alt=\"AI-powered DevOps in healthcare\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-powered-devops-in-healthcare\/\">AI-powered DevOps in healthcare<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">AI-powered DevOps in healthcare accelerates release cycles with smarter code review, self-healing test automation, and proactive monitoring, without risking compliance.<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/ai-powered-devops-in-healthcare\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-in-banking-use-cases\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/AI-in-Banking-Use-Cases-Main-Blog-Thumbnail-1024x1024.webp\" alt=\"AI in Banking Use Cases: What Works and What Stalls\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/ai-in-banking-use-cases\/\">AI in Banking Use Cases: What Works and What Stalls<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">A guide to AI in banking use cases, from fraud detection to document processing, the risks that stall them, and...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/ai-in-banking-use-cases\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/alternative-data-in-ai-credit-underwriting\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/What-is-Alternative-Data-Main-Blog-Thumbnail-1024x1024.webp\" alt=\"What is Alternative Data in AI Credit Underwriting\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/alternative-data-in-ai-credit-underwriting\/\">What is Alternative Data in AI Credit Underwriting<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">The CFPB dropped disparate impact from ECOA in April 2026. Here is what that changed for AI credit underwriting, and...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/alternative-data-in-ai-credit-underwriting\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/automated-regulatory-reporting-system\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/Automated-Regulatory-Reporting-Thumbnail-1024x1024.webp\" alt=\"Building Compliant System with Automated Regulatory\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/automated-regulatory-reporting-system\/\">Building Compliant System with Automated Regulatory<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">Turn agentic AI from an experimental concept into a production-ready capability with guidance on architecture, development, evaluation, deployment, observability, and...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/automated-regulatory-reporting-system\/\">Read More<\/a><\/div><\/div><\/div><\/div><div class=\"isw-slide\"><div class=\"isw-card\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/generative-ai-implementation-for-enterprises\/\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;z-index:1;display:block;text-decoration:none;\"><div class=\"isw-img-wrap\"><img decoding=\"async\" src=\"https:\/\/10pearls.com\/uk\/wp-content\/uploads\/2026\/09\/generative-ai-implementation-for-enterprises-thumbnail.webp\" alt=\"Generative AI implementation roadmap for enterprise\" loading=\"lazy\"><\/div><\/a><div class=\"isw-text-wrap\"><p class=\"isw-tag\">AI\/ML<\/p><p class=\"isw-title\"><a href=\"https:\/\/10pearls.com\/uk\/blog\/generative-ai-implementation-for-enterprises\/\">Generative AI implementation roadmap for enterprise<\/a><\/p><div class=\"isw-excerpt-wrap\"><p class=\"isw-excerpt\">Learn what Banking as a Service (BaaS) is, how it powers embedded finance, and how non-banks integrate accounts, cards, payments,...<\/p><\/div><div class=\"isw-readmore-wrap\" style=\"text-align:left\"><a class=\"isw-readmore\" href=\"https:\/\/10pearls.com\/uk\/blog\/generative-ai-implementation-for-enterprises\/\">Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"isw-dots\"><\/div><\/div><script>(function(){\n\t\t\tvar id       = \"isw-7e9a7eb\";\n\t\t\tvar spvDesk  = 3;\n\t\t\tvar spvTab   = 2;\n\t\t\tvar gap      = 20;\n\t\t\tvar total    = 10;\n\t\t\tvar autoplay = true;\n\t\t\tvar autoSpd  = 5000;\n\t\t\tvar showDots = true;\n\n\t\t\tvar wrap  = document.getElementById(id);\n\t\t\tif(!wrap) return;\n\t\t\tvar outer  = wrap.querySelector(\".isw-outer\");\n\t\t\tvar track  = wrap.querySelector(\".isw-track\");\n\t\t\tvar slides = wrap.querySelectorAll(\".isw-slide\");\n\t\t\tvar dotsWrap = wrap.querySelector(\".isw-dots\");\n\t\t\tvar btnPrev  = wrap.querySelector(\".isw-prev\");\n\t\t\tvar btnNext  = wrap.querySelector(\".isw-next\");\n\n\t\t\tvar cur      = 0;\n\t\t\tvar timer    = null;\n\t\t\tvar spv      = spvDesk;\n\n\t\t\tfunction getSpv(){\n\t\t\t\tvar w = window.innerWidth;\n\t\t\t\tif(w <= 480)  return 1;\n\t\t\t\tif(w <= 900)  return spvTab;\n\t\t\t\treturn spvDesk;\n\t\t\t}\n\n\t\t\tfunction setSlideWidths(){\n\t\t\t\tspv = getSpv();\n\t\t\t\tvar outerW = outer.offsetWidth;\n\t\t\t\tvar slideW = (outerW - gap * (spv - 1)) \/ spv;\n\t\t\t\t[].forEach.call(slides, function(s){\n\t\t\t\t\ts.style.width    = slideW + \"px\";\n\t\t\t\t\ts.style.minWidth = slideW + \"px\";\n\t\t\t\t});\n\t\t\t}\n\n\t\t\tfunction maxPage(){ return Math.max(0, total - spv); }\n\n\t\t\tfunction goTo(n, instant){\n\t\t\t\tn = Math.max(0, Math.min(n, maxPage()));\n\t\t\t\tcur = n;\n\t\t\t\tsetSlideWidths();\n\t\t\t\tvar slideW = slides[0] ? 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