{"id":38358,"date":"2024-01-24T08:58:08","date_gmt":"2024-01-24T16:58:08","guid":{"rendered":"https:\/\/salesforcedevops.net\/?p=38358"},"modified":"2024-01-24T08:58:12","modified_gmt":"2024-01-24T16:58:12","slug":"mulesoft-report-ai-adoption","status":"publish","type":"post","link":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/","title":{"rendered":"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation"},"content":{"rendered":"\n<p class=\"has-drop-cap wp-block-paragraph\">According to MuleSoft\u2019s 2024 Connectivity Benchmark Report, organizations now juggle an average of 991 applications &#8211; each with their own data, interfaces, and access needs requiring integration. As Param Kahlon, EVP and GM at MuleSoft explains: \u201cAI further tangles API sprawl. You must balance nearly 1,000 applications to create a cohesive customer experience.\u201d At the same time, however, some Salesforce customers are turning to the Einstein 1 platform to help address complexity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There is a new app in town that\u2019s causing this mess to get even more complicated. While artificial intelligence conjures visions of boosted efficiency through uncannily accurate predictions and responsive automation, it is no wonder that AI adoption has exploded. 80% of organizations now use multiple models. And overall, AI adoption is expected to grow 78% in three years according to <a href=\"https:\/\/www.mulesoft.com\/lp\/reports\/connectivity-benchmark\">MuleSoft&#8217;s 2024 Connectivity Benchmark Report<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, sky high ambitions around AI currently create a sobering reality for many enterprises. While interest and usage surge, most IT leaders face foundational issues operationalizing AI to realize material gains. And for some Salesforce users, the company\u2019s approach to building AI trust and under-the-hood features helps to address application complexity and time-to-market.<\/p>\n\n\n\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h2>Table of contents<\/h2><ul><li><a href=\"#h-the-core-tension-data-access-vs-data-silos\" data-level=\"2\">The Core Tension: Data Access vs. Data Silos<\/a><\/li><li><a href=\"#h-it-symptoms-plaguing-enterprises\" data-level=\"2\">IT Symptoms Plaguing Enterprises<\/a><ul><li><a href=\"#h-data-silos-stymieing-progress\" data-level=\"3\">Data Silos Stymieing Progress<\/a><\/li><li><a href=\"#h-systems-too-tightly-coupled\" data-level=\"3\">Systems Too Tightly Coupled<\/a><\/li><li><a href=\"#h-integration-headaches\" data-level=\"3\">Integration Headaches<\/a><\/li><\/ul><\/li><li><a href=\"#h-proliferating-technology-compounds-gaps\" data-level=\"2\">Proliferating Technology Compounds Gaps<\/a><\/li><li><a href=\"#h-einstein-1-platform-offers-less-complexity\" data-level=\"2\">Einstein 1 Platform Offers Less Complexity<\/a><\/li><li><a href=\"#h-customer-likes-einstein-1-strategy\" data-level=\"2\">Customer Likes Einstein 1 Strategy<\/a><\/li><li><a href=\"#h-crafting-a-connectivity-cure\" data-level=\"2\">Crafting a Connectivity Cure<\/a><\/li><\/ul><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-the-core-tension-data-access-vs-data-silos\">The Core Tension: Data Access vs. Data Silos<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The key tension illuminated across the MuleSoft research is that AI relies on accessing unified, quality data to reason accurately about an organization &#8211; yet contending with hundreds of disconnected, overlapping data sources makes assembling that single source of truth difficult. \u201cAI has to understand a business&#8217;s full context to derive the right predictions and directives,\u201d explains Kahlon in an interview with SalesforceDevops.net. &#8220;We&#8217;re stuck bringing all this data together to feed AI.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Without complete information, AI risks faulty inferences. With fragmented infrastructure, executing at scale on AI-generated insights becomes its own challenge. This is the data access versus data silos tension enterprises now navigate.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-it-symptoms-plaguing-enterprises\">IT Symptoms Plaguing Enterprises<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Many symptoms of this core tension plague enterprises struggling to operationalize AI innovations, according to the report:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-data-silos-stymieing-progress\">Data Silos Stymieing Progress<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>81%<\/strong> of IT leaders cite <em>data silos<\/em> as hampering digital transformation initiatives needed to harness AI, indicating fundamental connectivity issues.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-systems-too-tightly-coupled\">Systems Too Tightly Coupled<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>72%<\/strong>&nbsp;state their infrastructure relies on <em>overly interdependent systems<\/em> that lack flexibility &#8211; if one application shifts, a ripple effect is likely to damage others.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-integration-headaches\">Integration Headaches<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The inability to connect insights to customer experiences frustrates&nbsp;<strong>75%<\/strong>&nbsp;of organizations.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Organizations rely on us to guide AI implementation and strategy,&#8221; Kahlon notes regarding CIO pressure. &#8220;But despite great interest, they remain stuck integrating the data AI relies on.&#8221;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-proliferating-technology-compounds-gaps\">Proliferating Technology Compounds Gaps<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Rather than consolidate systems, enterprises appear to continually expand them.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Organizations now juggle an <em>average of 991 applications<\/em> comprising their digital environment, according to the report.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">With existing integration headaches, more technologies layering into infrastructure heightens fragility risks. And if AI can&#8217;t seamlessly access data across all those disparate sources &#8211; or actuate on insights across them &#8211; its potential remains bottlenecked.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;AI further tangles API sprawl,&#8221; Kahlon explains regarding growing connectivity debt. &#8220;You must balance nearly 1,000 applications to create a cohesive customer experience.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This proliferation combines with integration gaps to address likely contributes to the mixed progress on overall digital transformation efforts. As the study finds:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>98% <\/strong>of IT organizations face notable challenges advancing strategic modernization goals. Obviously, thorny issues still abound.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For AI to shift from promise to practical daily value at enterprises, integration and infrastructure priorities warrant as much investment and airtime as the advanced analytics techniques themselves. Data access sits at the heart of the matter.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-einstein-1-platform-offers-less-complexity\">Einstein 1 Platform Offers Less Complexity<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Many of the difficulties cited in the MuleSoft report highlight the problems in data integration. Data Cloud, the newest Cloud offering from Salesforce, is designed to deal with sprawl and redundant data storage.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As Kahlon notes: \u201cThe Zero Copy feature in Data Cloud has the ability keeps the data where it is and we\u2019re able to understand it and print and read it. Then we enhance it with metadata that the Salesforce application can understand, and you can start to train over that set of metadata without moving the data.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kahlon further positions this as a major advantage for customers already invested in certain repositories or having data gravity around existing enterprise lakes: \u201cData Cloud brings that together without having to move the existent data from an enterprise data lake or warehouse. Customers that don&#8217;t want to copy data around see Zero Copy as a huge value proposition.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-customer-likes-einstein-1-strategy\">Customer Likes Einstein 1 Strategy<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For Lawson Dees, VP of Operations at commercial real estate disruptor and long-time Salesforce customer Crexi, the decision to adopt Einstein capabilities like predictive lead scoring and pipeline risk analysis centered heavily on established integration capabilities and comfort with the Salesforce platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As both a long-time customer and past user himself, he expressed relief at their embedded AI expanding available insights rather than replacing core tools requiring new security reviews and skill building: \u201cIt was a good nudge in the right direction. If Salesforce is doing this, they obviously have a big customer base, they&#8217;re not making this decision on a whim, they clearly see market appetite&#8230;it was a nice little kick in the rear and maybe some FOMO too.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond satisfying an appetite for efficiency, for Dees responsibility continues looming large as AI permeates operations. So, Salesforce\u2019s AI stewardship helps accelerate application: \u201cIf I had to develop all that governance myself, we wouldn&#8217;t be using it right now. There are just too many hoops to jump through without a trusted platform like Salesforce making sure we can focus on our use cases rather than reinventing all the security protocols.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This ability to move AI into daily rhythms without disorienting disruption remains imperative as integration headaches still cause 90% surveyed to report struggles making progress. For Dees and 79% of the survey\u2019s respondents concerned over missteps however, Salesforce\u2019s custodial approach sparks more excitement than apprehension.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-crafting-a-connectivity-cure\">Crafting a Connectivity Cure<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Transformative technologies like AI are often <em>hyped without acknowledging the hidden system work required to surface benefits<\/em>. For enterprises seeking to capitalize on AI&#8217;s potential as a driver of efficiency and automation, investing in unblocking data flows deserves parallel attention.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Architecting composable, API-first connectivity across fragmented IT estates is essential to preventing perpetually disconnected data. Only with comprehensive visibility into how systems currently exchange data can you augment access points to democratize information streams.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tools for federated data unification without endless copying or adjustments as sources evolve are also maturing, per the report &#8211; promising ways to flexibly share context across integration pain points. Empowering more autonomous, reusable integration building further alleviates reliance on IT bottlenecks to customize all touch points.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As Kahlon summarized regarding AI payoffs: &#8220;It&#8217;s dependent on integrated data. Breaking down data silos can unlock AI&#8217;s full potential.&#8221; The integration focus simply can&#8217;t be neglected.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prioritizing that connectivity layer with equal zeal as transformative AI will allow more global enterprises to transition from proofs of concept to productive implementations. Simplifying access and analytics deserves partnership with the powers, unleashing predictions.<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>According to MuleSoft\u2019s 2024 Connectivity Benchmark Report, organizations now juggle an average of 991 applications &#8211; each with their own data, interfaces, and access needs requiring integration. As Param Kahlon,&hellip;<\/p>\n","protected":false},"author":1,"featured_media":38361,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[4],"tags":[1537,1539,1540,1536,1342,1538],"post_series":[],"class_list":["post-38358","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","tag-ai-integration-challenges","tag-application-overload-management","tag-artificial-intelligence-adoption","tag-modern-digital-landscape","tag-mulesoft","tag-technology-fragmentation","entry","has-media"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v22.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation - SalesforceDevops.net<\/title>\n<meta name=\"description\" content=\"Explore Artificial Intelligence integration in the modern digital landscape, overcoming of technology fragmentation and application overload.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation - SalesforceDevops.net\" \/>\n<meta property=\"og:description\" content=\"Explore Artificial Intelligence integration in the modern digital landscape, overcoming of technology fragmentation and application overload.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\" \/>\n<meta property=\"og:site_name\" content=\"SalesforceDevops.net\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/salesforcedevopsnet\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-24T16:58:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-24T16:58:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Vernon Keenan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@salesforcedevop\" \/>\n<meta name=\"twitter:site\" content=\"@salesforcedevop\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Vernon Keenan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\"},\"author\":{\"name\":\"Vernon Keenan\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/#\/schema\/person\/ac094823465a60be4f47d7321ed7ce04\"},\"headline\":\"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation\",\"datePublished\":\"2024-01-24T16:58:08+00:00\",\"dateModified\":\"2024-01-24T16:58:12+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\"},\"wordCount\":1223,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/#organization\"},\"image\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png\",\"keywords\":[\"AI integration challenges\",\"application overload management\",\"artificial intelligence adoption\",\"modern digital landscape\",\"MuleSoft\",\"technology fragmentation\"],\"articleSection\":[\"Industry News\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/#organization\"},\"accessibilityFeature\":[\"tableOfContents\"]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\",\"url\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\",\"name\":\"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation - SalesforceDevops.net\",\"isPartOf\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png\",\"datePublished\":\"2024-01-24T16:58:08+00:00\",\"dateModified\":\"2024-01-24T16:58:12+00:00\",\"description\":\"Explore Artificial Intelligence integration in the modern digital landscape, overcoming of technology fragmentation and application overload.\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage\",\"url\":\"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png\",\"contentUrl\":\"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png\",\"width\":1200,\"height\":675,\"caption\":\"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation\"},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/#website\",\"url\":\"https:\/\/cms.salesforcedevops.net\/\",\"name\":\"SalesforceDevops.net\",\"description\":\"Elevating Salesforce Devops with Insights and Innovation\",\"publisher\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/cms.salesforcedevops.net\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/#organization\",\"name\":\"SalesforceDevops.net\",\"url\":\"https:\/\/cms.salesforcedevops.net\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2021\/04\/logo-horiz-325.jpg\",\"contentUrl\":\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2021\/04\/logo-horiz-325.jpg\",\"width\":325,\"height\":101,\"caption\":\"SalesforceDevops.net\"},\"image\":{\"@id\":\"https:\/\/cms.salesforcedevops.net\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/salesforcedevopsnet\",\"https:\/\/twitter.com\/salesforcedevop\",\"https:\/\/www.linkedin.com\/in\/vernonkeenan\",\"https:\/\/www.youtube.com\/channel\/UCOgOn9rD5gyXSOmV7-Q0n7g\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/#\/schema\/person\/ac094823465a60be4f47d7321ed7ce04\",\"name\":\"Vernon Keenan\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/cms.salesforcedevops.net\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/cms.salesforcedevops.net\/wp-content\/wphb-cache\/gravatar\/09b\/09bd30f3ca2e049fbd8b9313ef5a41aex96.jpg\",\"contentUrl\":\"https:\/\/cms.salesforcedevops.net\/wp-content\/wphb-cache\/gravatar\/09b\/09bd30f3ca2e049fbd8b9313ef5a41aex96.jpg\",\"caption\":\"Vernon Keenan\"},\"description\":\"Vernon Keenan (LinkedIn) works as a senior information technology industry consultant based in Oakland, California. He earned his B.Sc. in Biomedical Engineering at Northwestern University where he programmed a PDP-8 with punched paper tape. In his 34-year-long career he has been a teacher, SPSS programmer, database administrator, clinical researcher, technology journalist, product marketing manager, market researcher, management consultant, and industry analyst. Most recently he is a telecom operator, cloud architect, Go devops engineer and Salesforce Developer\/Architect. For inquiries about Salesforce strategy briefings or solution architect work please contact Vern directly at +1-510-679-1900 or vern@vernonkeenan.com.\",\"sameAs\":[\"https:\/\/ceres-gw.tnxs.net\",\"https:\/\/linkedin.com\/in\/vernonkeenan\",\"https:\/\/twitter.com\/salesforcedevop\"],\"url\":\"https:\/\/cms.salesforcedevops.net\/index.php\/author\/vern\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation - SalesforceDevops.net","description":"Explore Artificial Intelligence integration in the modern digital landscape, overcoming of technology fragmentation and application overload.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/","og_locale":"en_US","og_type":"article","og_title":"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation - SalesforceDevops.net","og_description":"Explore Artificial Intelligence integration in the modern digital landscape, overcoming of technology fragmentation and application overload.","og_url":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/","og_site_name":"SalesforceDevops.net","article_publisher":"https:\/\/www.facebook.com\/salesforcedevopsnet","article_published_time":"2024-01-24T16:58:08+00:00","article_modified_time":"2024-01-24T16:58:12+00:00","og_image":[{"width":1200,"height":675,"url":"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png","type":"image\/png"}],"author":"Vernon Keenan","twitter_card":"summary_large_image","twitter_creator":"@salesforcedevop","twitter_site":"@salesforcedevop","twitter_misc":{"Written by":"Vernon Keenan","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"TechArticle","@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#article","isPartOf":{"@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/"},"author":{"name":"Vernon Keenan","@id":"https:\/\/cms.salesforcedevops.net\/#\/schema\/person\/ac094823465a60be4f47d7321ed7ce04"},"headline":"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation","datePublished":"2024-01-24T16:58:08+00:00","dateModified":"2024-01-24T16:58:12+00:00","mainEntityOfPage":{"@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/"},"wordCount":1223,"commentCount":0,"publisher":{"@id":"https:\/\/cms.salesforcedevops.net\/#organization"},"image":{"@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage"},"thumbnailUrl":"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png","keywords":["AI integration challenges","application overload management","artificial intelligence adoption","modern digital landscape","MuleSoft","technology fragmentation"],"articleSection":["Industry News"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#respond"]}],"copyrightYear":"2024","copyrightHolder":{"@id":"https:\/\/cms.salesforcedevops.net\/#organization"},"accessibilityFeature":["tableOfContents"]},{"@type":"WebPage","@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/","url":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/","name":"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation - SalesforceDevops.net","isPartOf":{"@id":"https:\/\/cms.salesforcedevops.net\/#website"},"primaryImageOfPage":{"@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage"},"image":{"@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage"},"thumbnailUrl":"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png","datePublished":"2024-01-24T16:58:08+00:00","dateModified":"2024-01-24T16:58:12+00:00","description":"Explore Artificial Intelligence integration in the modern digital landscape, overcoming of technology fragmentation and application overload.","inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/cms.salesforcedevops.net\/index.php\/2024\/01\/24\/mulesoft-report-ai-adoption\/#primaryimage","url":"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png","contentUrl":"https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png","width":1200,"height":675,"caption":"MuleSoft Report: AI Adoption Adds to Mounting Tech Fragmentation"},{"@type":"WebSite","@id":"https:\/\/cms.salesforcedevops.net\/#website","url":"https:\/\/cms.salesforcedevops.net\/","name":"SalesforceDevops.net","description":"Elevating Salesforce Devops with Insights and Innovation","publisher":{"@id":"https:\/\/cms.salesforcedevops.net\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/cms.salesforcedevops.net\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/cms.salesforcedevops.net\/#organization","name":"SalesforceDevops.net","url":"https:\/\/cms.salesforcedevops.net\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/cms.salesforcedevops.net\/#\/schema\/logo\/image\/","url":"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2021\/04\/logo-horiz-325.jpg","contentUrl":"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2021\/04\/logo-horiz-325.jpg","width":325,"height":101,"caption":"SalesforceDevops.net"},"image":{"@id":"https:\/\/cms.salesforcedevops.net\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/salesforcedevopsnet","https:\/\/twitter.com\/salesforcedevop","https:\/\/www.linkedin.com\/in\/vernonkeenan","https:\/\/www.youtube.com\/channel\/UCOgOn9rD5gyXSOmV7-Q0n7g"]},{"@type":"Person","@id":"https:\/\/cms.salesforcedevops.net\/#\/schema\/person\/ac094823465a60be4f47d7321ed7ce04","name":"Vernon Keenan","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/cms.salesforcedevops.net\/#\/schema\/person\/image\/","url":"https:\/\/cms.salesforcedevops.net\/wp-content\/wphb-cache\/gravatar\/09b\/09bd30f3ca2e049fbd8b9313ef5a41aex96.jpg","contentUrl":"https:\/\/cms.salesforcedevops.net\/wp-content\/wphb-cache\/gravatar\/09b\/09bd30f3ca2e049fbd8b9313ef5a41aex96.jpg","caption":"Vernon Keenan"},"description":"Vernon Keenan (LinkedIn) works as a senior information technology industry consultant based in Oakland, California. He earned his B.Sc. in Biomedical Engineering at Northwestern University where he programmed a PDP-8 with punched paper tape. In his 34-year-long career he has been a teacher, SPSS programmer, database administrator, clinical researcher, technology journalist, product marketing manager, market researcher, management consultant, and industry analyst. Most recently he is a telecom operator, cloud architect, Go devops engineer and Salesforce Developer\/Architect. For inquiries about Salesforce strategy briefings or solution architect work please contact Vern directly at +1-510-679-1900 or vern@vernonkeenan.com.","sameAs":["https:\/\/ceres-gw.tnxs.net","https:\/\/linkedin.com\/in\/vernonkeenan","https:\/\/twitter.com\/salesforcedevop"],"url":"https:\/\/cms.salesforcedevops.net\/index.php\/author\/vern\/"}]}},"uagb_featured_image_src":{"full":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",1200,675,false],"thumbnail":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800-150x150.png",150,150,true],"medium":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800-300x169.png",300,169,true],"medium_large":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800-768x432.png",768,432,true],"large":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800-1024x576.png",980,551,true],"1536x1536":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800-1536x864.png",1536,864,true],"2048x2048":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",1200,675,false],"lightbox":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",1200,675,false],"search_results":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800-125x125.png",125,125,true],"blog_entry":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",750,422,false],"blog_post":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",750,422,false],"blog_post_full":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",1200,675,false],"blog_related":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",1200,675,false],"gallery":["https:\/\/cms.salesforcedevops.net\/wp-content\/uploads\/2024\/01\/presentation_slide_16_91920x1080-rid_63000b70-1b36-428d-bdcf-335012199800.png",1200,675,false]},"uagb_author_info":{"display_name":"Vernon Keenan","author_link":"https:\/\/cms.salesforcedevops.net\/index.php\/author\/vern\/"},"uagb_comment_info":0,"uagb_excerpt":"According to MuleSoft\u2019s 2024 Connectivity Benchmark Report, organizations now juggle an average of 991 applications &#8211; each with their own data, interfaces, and access needs requiring integration. As Param Kahlon,&hellip;","_links":{"self":[{"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts\/38358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/comments?post=38358"}],"version-history":[{"count":5,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts\/38358\/revisions"}],"predecessor-version":[{"id":38364,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts\/38358\/revisions\/38364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/media\/38361"}],"wp:attachment":[{"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/media?parent=38358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/categories?post=38358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/tags?post=38358"},{"taxonomy":"post_series","embeddable":true,"href":"https:\/\/cms.salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/post_series?post=38358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}