{"id":33162,"date":"2023-08-19T03:00:00","date_gmt":"2023-08-19T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33162"},"modified":"2023-08-21T12:50:35","modified_gmt":"2023-08-21T19:50:35","slug":"new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/","title":{"rendered":"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignright size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"300\" height=\"100\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/weka-logo_2023.png\" alt=\"\" class=\"wp-image-33181\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/weka-logo_2023.png 300w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/weka-logo_2023-150x50.png 150w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure><\/div>\n\n\n<p>According to a new global study conducted by S&amp;P Global Market Intelligence and commissioned by <a href=\"http:\/\/www.weka.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">WEKA<\/a>, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023. \u00a0<br>\u00a0<br>These findings were published as part of S&amp;P Global\u2019s new <a href=\"https:\/\/www.weka.io\/resources\/analyst-report\/2023-global-trends-in-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">2023 Global Trends in AI <\/a>report. The research findings are based on a sweeping global survey conducted by S&amp;P Global of more than 1,500 AI practitioners and decision-makers at medium to large enterprise and research organizations across APAC, EMEA and North America \u2013 one of the largest of its kind to date. \u00a0<br>\u00a0<br>The study identifies the opportunities and obstacles organizations have encountered in their AI journeys, the unique motivators and value drivers spurring global AI adoption across industries, and provides insights into what steps organizations will need to take to succeed with AI in the future. \u00a0<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p>\u201cThe meteoric rise of data and performance-intensive workloads like generative AI is forcing a complete rethink of how data is stored, managed and processed. Organizations everywhere now have to build and scale their data architectures with this in mind over the long term,\u201d said Nick Patience, senior research analyst at 451 Research, part of S&amp;P Global Market Intelligence. \u201cAlthough it is still the early days of the AI revolution, one of the overarching takeaways from our 2023 Global Trends in AI study is that data infrastructure will be a deciding factor in which organizations emerge as AI leaders.<sup>1<\/sup> Having a modern data stack that efficiently and sustainably supports AI workloads and hybrid cloud deployments is critical to achieving enterprise scale and value creation.\u201d&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p>Key findings from the study include:&nbsp;&nbsp;<\/p>\n\n\n\n<p><strong>AI Adoption and Use Cases Are Accelerating, But Enterprise-Scale Still Remains Elusive<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>69% of survey respondents reported having at least one AI project in production.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Only 28% say they have reached enterprise scale, with AI projects being widely implemented and driving significant business value.&nbsp;<\/li>\n\n\n\n<li>AI has shifted from simply being a cost-saving lever to a revenue driver, with 69% of respondents now using AI\/ML to create new revenue streams.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Data Management Is the Top Technical Inhibitor to AI Adoption&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>The most frequently cited technological inhibitor to AI\/ML deployments is data management (32%), outweighing challenges for security (26%) and compute performance (20%), evidence that many organizations\u2019 current data architectures are unfit to support the AI revolution.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Enterprise AI Use Cases Are Shifting From Cost-Savings to Topline Growth&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>69% of respondents cited that their AI\/ML projects focus on developing new revenue drivers and value creation versus 31% still being cost reduction-focused.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>As AI Initiatives Mature, a Hybrid Approach and Multiple Deployment Locations Are Needed to Support Workload Demands<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>AI\/ML workloads are being deployed in a variety of locations, from the public cloud to enterprise data centers and, increasingly, edge sites.Respondents running AI in production leverage more deployment locations on average (3.2 for training, 2.5 for inference) than those in pilots and proof-of-concept phases (2.9, 2.3 ).&nbsp;&nbsp;<\/li>\n\n\n\n<li>The public cloud is the primary deployment location for training AI\/ML models (47%) and inferencing (44%).&nbsp;&nbsp;<\/li>\n\n\n\n<li>Those who leverage the public cloud to run AI\/ML are more likely to leverage a hybrid approach incorporating more locations for both training (4.2, on average) and inference (3.2), as opposed to those who do not use the public cloud (2.2, 1.9).&nbsp;<\/li>\n\n\n\n<li>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>AI\u2019s Energy and Carbon Footprint Are Straining Corporate Sustainability Goals, But The Cloud Presents a Path to Improvement<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>68% of respondents indicated they were concerned with the impact AI\/ML had on their organization&#8217;s energy use and carbon footprint&nbsp;<\/li>\n\n\n\n<li>74% of respondents said sustainability is an important or critical motivator for moving more workloads to the public cloud.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Aging Data Infrastructures and Legacy Architectures Directly Impact AI\u2019s Sustainability Performance&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>77% of respondents said their data architectures directly impact their sustainability performance.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Organizations Must Get Their Data and Infrastructure \u2018Houses in Order\u2019 to Lead with AI&nbsp;<\/strong>&nbsp;<\/p>\n\n\n\n<ul>\n<li>Companies leveraging a modern data architecture to overcome significant data challenges (sources, types, requirements etc.) can accommodate AI workloads operating across multiple infrastructure venues.&nbsp;<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p>\u201cThis expansive study from S&amp;P Global validates what WEKA has heard repeatedly from our customers: traditional data infrastructures are having a direct, negative impact on their ability to use AI efficiently and sustainably at scale because they weren\u2019t developed with modern performance-intensive workloads or hybrid cloud and edge modalities in mind,\u201d said Liran Zvibel, cofounder and CEO at WEKA. \u201cJust as you wouldn\u2019t expect to use battery technologies developed in the 1990s to power a state-of-the-art electric vehicle, like a Tesla, you can\u2019t expect data management approaches designed for last century\u2019s data challenges to support next-generation applications like generative AI. Organizations that build a modern data stack designed to support the needs of AI workloads that seamlessly span from edge to core to cloud will emerge as the leaders and disruptors of the future.\u201d&nbsp;&nbsp;<\/p>\n<\/blockquote>\n\n\n\n<p>To learn more about S&amp;P Global Market Intelligence 2023 Global Trends in AI study, click <a href=\"https:\/\/www.weka.io\/resources\/analyst-report\/2023-global-trends-in-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">HERE<\/a> to read the full report,<\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a href=\"http:\/\/inside-bigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;<a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on LinkedIn:&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/insidebigdata\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on Facebook:&nbsp;<a href=\"https:\/\/www.facebook.com\/insideBIGDATANOW\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>According to a new global study conducted by S&#038;P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023. <\/p>\n","protected":false},"author":10513,"featured_media":32631,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,182,1054,180,67,268,56,84,1],"tags":[437,324,594,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0 - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0 - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"According to a new global study conducted by S&amp;P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-19T10:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-21T19:50:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/AI_shutterstock_2287025875_special.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1100\" \/>\n\t<meta property=\"og:image:height\" content=\"550\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/\",\"url\":\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/\",\"name\":\"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0 - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2023-08-19T10:00:00+00:00\",\"dateModified\":\"2023-08-21T19:50:35+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0 - insideBIGDATA","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:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/","og_locale":"en_US","og_type":"article","og_title":"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0 - insideBIGDATA","og_description":"According to a new global study conducted by S&P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023.","og_url":"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2023-08-19T10:00:00+00:00","article_modified_time":"2023-08-21T19:50:35+00:00","og_image":[{"width":1100,"height":550,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/AI_shutterstock_2287025875_special.jpg","type":"image\/jpeg"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/","url":"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/","name":"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0 - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2023-08-19T10:00:00+00:00","dateModified":"2023-08-21T19:50:35+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2023\/08\/19\/new-study-reveals-data-management-is-a-top-challenge-in-the-ai-revolution\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"New Study Reveals Data Management Is a Top Challenge in the AI Revolution\u00a0\u00a0"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/AI_shutterstock_2287025875_special.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-8CS","jetpack-related-posts":[{"id":19705,"url":"https:\/\/insidebigdata.com\/2018\/01\/01\/study-ai-future-sales\/","url_meta":{"origin":33162,"position":0},"title":"Study on AI and the Future of Sales","date":"January 1, 2018","format":false,"excerpt":"Whether it\u2019s redefining the world of marketing, finance or customer support, it is no secret that artificial intelligence (AI) is changing the way we work. Sales, as both a function and a profession, is no exception to the sea change. Our friends over at Cien produced a global study: The\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/12\/Cien_Future-of-Sales-report.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":23921,"url":"https:\/\/insidebigdata.com\/2020\/01\/29\/report-reveals-business-critical-cloud-adoption-for-analytics-and-ai-on-the-rise-yet-challenges-remain\/","url_meta":{"origin":33162,"position":1},"title":"Report Reveals Business-Critical Cloud Adoption for Analytics and AI on the Rise, Yet Challenges Remain","date":"January 29, 2020","format":false,"excerpt":"Trifacta, a leader in data preparation and data wrangling, released its \u201cObstacles to AI & Analytics Adoption in the Cloud\u201d report, which reveals inefficiencies that are hindering analytics and artificial intelligence (AI) adoption in the cloud. The research, which surveyed 646 data professionals across different industries and titles, examines how\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Trifacta_white_paper_cover.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":18771,"url":"https:\/\/insidebigdata.com\/2017\/08\/31\/artificial-intelligence-real-world-business-case-takes-shape\/","url_meta":{"origin":33162,"position":2},"title":"Artificial Intelligence in the Real World \u2013 the business case takes shape","date":"August 31, 2017","format":false,"excerpt":"Artificial Intelligence in the Real World: The business case takes shape is a report from The Economist Intelligence Unit (EIU) sponsored by Wipro Limited. It draws upon a survey conducted in the second half of 2016 of 203 executives around the globe. The purpose of the study has been to\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/08\/Economist_Wipro_AI.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":22700,"url":"https:\/\/insidebigdata.com\/2019\/05\/26\/survey-96-of-enterprises-encounter-training-data-quality-and-labeling-challenges-in-machine-learning-projects\/","url_meta":{"origin":33162,"position":3},"title":"Survey: 96% of Enterprises Encounter Training Data Quality and Labeling Challenges in Machine Learning Projects","date":"May 26, 2019","format":false,"excerpt":"IDC predicts worldwide spending on artificial intelligence (AI) systems will reach $35.8 billion in 2019, and 84% of enterprises believe investing in AI will lead to greater competitive advantages (Statista). However, nearly eight out of 10 enterprise organizations currently engaged in AI and machine learning (ML) report that projects have\u2026","rel":"","context":"In &quot;Google News Feed&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/08\/alegion-430x300.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":22887,"url":"https:\/\/insidebigdata.com\/2019\/07\/02\/leveraging-data-blockchain-and-ai-to-help-agriculture-meet-growing-global-demand\/","url_meta":{"origin":33162,"position":4},"title":"Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand","date":"July 2, 2019","format":false,"excerpt":"Given the scale of the world\u2019s food supply, there aren\u2019t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/07\/Agriculture_shutterstock_532304770.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":30386,"url":"https:\/\/insidebigdata.com\/2022\/09\/17\/verta-insights-study-reveals-that-fewer-than-half-of-companies-are-ready-to-scale-real-time-ai-within-three-years\/","url_meta":{"origin":33162,"position":5},"title":"Verta Insights Study Reveals that Fewer than Half of Companies Are Ready to Scale Real-time AI Within Three Years","date":"September 17, 2022","format":false,"excerpt":"Verta Inc., a leading provider of enterprise model management and operational artificial intelligence (AI) solutions, released findings from the 2022 State of Machine Learning Operations study, which surveyed more than 200 machine learning (ML) practitioners about their use of AI and ML models to drive business success. The study was\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/33162"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=33162"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/33162\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/32631"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=33162"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=33162"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=33162"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}