{"id":33004,"date":"2023-08-01T06:00:00","date_gmt":"2023-08-01T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33004"},"modified":"2023-08-01T08:07:33","modified_gmt":"2023-08-01T15:07:33","slug":"survey-shows-top-down-pressure-to-adopt-generative-ai-but-just-30-of-enterprises-are-ready-to-do-so-today","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/08\/01\/survey-shows-top-down-pressure-to-adopt-generative-ai-but-just-30-of-enterprises-are-ready-to-do-so-today\/","title":{"rendered":"Survey Shows Top-Down Pressure to Adopt Generative AI,\u00a0But Just 30% of Enterprises are Ready to Do So Today\u00a0"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignright size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"218\" height=\"63\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_logo.jpg\" alt=\"\" class=\"wp-image-17740\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_logo.jpg 218w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Teradata_logo-150x43.jpg 150w\" sizes=\"(max-width: 218px) 100vw, 218px\" \/><\/figure><\/div>\n\n\n<p>Executives at large enterprises across the globe are facing unprecedented pressures around adopting generative artificial intelligence (GenAI), addressing ever-increasing data complexity, and managing a growing skills gap. That\u2019s according to a new IDC survey, sponsored by&nbsp;<a href=\"https:\/\/www.teradata.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Teradata<\/a>&nbsp;(NYSE:&nbsp;TDC).&nbsp;<\/p>\n\n\n\n<p>IDC Executive Preview, sponsored by Teradata,&nbsp;<a href=\"https:\/\/www.teradata.com\/getattachment\/19d9642d-03f1-4b30-8a03-9fd7edf4745d\/IDC-The-Possibilities-and-Realities-of-GenAI.pdf?origin=fd\" target=\"_blank\" rel=\"noreferrer noopener\"><em>The Possibilities and Realities of Generative AI<\/em>,<\/a>&nbsp;IDC # US51015023, July 2023. The research was conducted among 900 senior executives across the US, Europe, and Asia in March, 2023.&nbsp;<\/p>\n\n\n\n<p><strong>GenAI: Ready or Not, Here We Come!<\/strong>&nbsp;<\/p>\n\n\n\n<p>Although nearly 80% of the 900 global executives surveyed had a high or significant level of trust that GenAI could be leveraged for their company\u2019s future offerings and operations, more work is to be done. Eighty-six percent of respondents agree more governance is needed to ensure the quality and integrity of GenAI insights, and 66% also expressed concerns around GenAI\u2019s potential for bias and disinformation.&nbsp;<\/p>\n\n\n\n<p>Also in question is the growing skills gap around GenAI, with just 30% saying they are extremely prepared or ready to leverage GenAI today, and only 42% completely agreeing they will have the skills in place to implement GenAI in 6 to 12 months. Nonetheless, the pressure to implement is mounting, with 56% confirming they are under \u201chigh\u201d or \u201csignificant\u201d pressure to leverage GenAI within their organization in the next 6 to 12 months.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Moreover, while 89% of those surveyed said they understand GenAI\u2019s merits and potential, not all are convinced it will remain the darling of public opinion it is today: Surprisingly, 57% believe interest in GenAI will fade with time.&nbsp;<\/p>\n\n\n\n<p><strong>Doing the Right Things<\/strong>&nbsp;<\/p>\n\n\n\n<p>The survey also explored concerns around data privacy and ethics, particularly with ChatGPT becoming a near-overnight phenomenon. Across the globe, companies said data ethics and the responsible use of data was paramount (92% of respondents) and 97% said they were intimately familiar with data ethics and the responsible use of data within their own organizations. Nearly 9 in 10 respondents confirmed they have a formal ethical data resource or board in place.&nbsp;&nbsp;<\/p>\n\n\n\n<p>The survey also showed companies are becoming digitally mature, with 54% saying the information flow within their organizations is either very unconstrained or highly unconstrained and free flowing.&nbsp;49% said their companies do a better than average job and 33% said they perform at an expert level of creating value from the data available within their organizations.&nbsp;<\/p>\n\n\n\n<p><strong>IT Complexity is on the Rise<\/strong>&nbsp;<\/p>\n\n\n\n<p>The survey also revealed the extent to which executives say their organizations have been impacted by major corporate changes over the last two years. Those polled noted their companies have seen a new or significantly increased focus on economic challenges and geopolitical changes\/supply chain disruptions\/wars\/inflation (47% said this is true); a growing influx in work-from-home and hybrid work (47% noted this is true); and an increased focus on environmental\/social and corporate governance (53% said this is true).&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>With these additional pressures in place, it may not be surprising that nearly 70% of the respondents noted data complexity in their organization had increased, with 20% saying they have felt \u201csignificantly more complexity\u201d in the last 24 months.&nbsp;&nbsp;<\/p>\n\n\n\n<ul>\n<li>85% said the complexity will remain constant or increase in the next two years&nbsp;<\/li>\n\n\n\n<li>20% remain convinced data problems will become significantly more complex.&nbsp;<\/li>\n<\/ul>\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>Executives at large enterprises across the globe are facing unprecedented pressures around adopting generative artificial intelligence (GenAI), addressing ever-increasing data complexity, and managing a growing skills gap. That\u2019s according to a new IDC survey, sponsored by\u00a0Teradata\u00a0(NYSE:\u00a0TDC).<\/p>\n","protected":false},"author":10513,"featured_media":32763,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,182,180,67,268,56,84,101,1],"tags":[437,1245,278,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Survey Shows Top-Down Pressure to Adopt Generative AI,\u00a0But Just 30% of Enterprises are Ready to Do So Today\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\/01\/survey-shows-top-down-pressure-to-adopt-generative-ai-but-just-30-of-enterprises-are-ready-to-do-so-today\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Survey Shows Top-Down Pressure to Adopt Generative AI,\u00a0But Just 30% of Enterprises are Ready to Do So Today\u00a0 - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Executives at large enterprises across the globe are facing unprecedented pressures around adopting generative artificial intelligence (GenAI), addressing ever-increasing data complexity, and managing a growing skills gap. 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We\u2019ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/GenerativeAI_shutterstock_2313909647_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33653,"url":"https:\/\/insidebigdata.com\/2023\/10\/16\/generative-ai-report-10-16-2023\/","url_meta":{"origin":33004,"position":1},"title":"Generative AI Report \u2013 10\/16\/2023","date":"October 16, 2023","format":false,"excerpt":"Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We\u2019ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/GenerativeAI_shutterstock_2313909647_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33544,"url":"https:\/\/insidebigdata.com\/2023\/10\/02\/what-does-the-commercialization-of-generative-ai-mean-for-society\/","url_meta":{"origin":33004,"position":2},"title":"What Does the Commercialization of Generative AI Mean for Society?","date":"October 2, 2023","format":false,"excerpt":"ACM, the Association for Computing Machinery has released \"TechBrief: Generative Artificial Intelligence.\u201d It is the latest in the quarterly ACM TechBriefs series of short technical bulletins that present scientifically grounded perspectives on the impact and policy implications of specific technological developments in computing.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/Generative_AI_shutterstock_2273007347_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33231,"url":"https:\/\/insidebigdata.com\/2023\/08\/28\/generative-ai-report-nutanix-simplifies-adoption-of-generative-ai-with-new-nutanix-gpt-in-a-box-solution\/","url_meta":{"origin":33004,"position":3},"title":"Generative AI Report: Nutanix Simplifies Adoption of Generative AI with New Nutanix GPT-in-a-Box Solution","date":"August 28, 2023","format":false,"excerpt":"Nutanix\u00a0(NASDAQ:\u00a0NTNX), a leader in hybrid multicloud computing, announced the Nutanix GPT-in-a-Box\u2122\u00a0solution for customers looking to jump-start their artificial intelligence (AI) and machine learning (ML) innovation, while maintaining control over their data. 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These are exciting times, so we decided to put\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/07\/ChatGPT_shutterstock_2249988847_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/33004"}],"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=33004"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/33004\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/32763"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=33004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=33004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=33004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}