{"id":8173,"date":"2024-07-17T18:03:57","date_gmt":"2024-07-17T18:03:57","guid":{"rendered":"https:\/\/tup.kxe.temporary.site\/china-leads-the-world-in-generative-ai-use\/"},"modified":"2024-07-17T18:03:57","modified_gmt":"2024-07-17T18:03:57","slug":"china-leads-the-world-in-generative-ai-use","status":"publish","type":"post","link":"https:\/\/okdesign.ca\/en\/china-leads-the-world-in-generative-ai-use\/","title":{"rendered":"China leads the world in generative AI use"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>Eighty-three percent of Chinese business decision-makers say their organizations are using AI. This contrasts with the U.S. (65%) and the U.K. (70%). However, closer questioning reveals that U.S. organizations are ahead in terms of genAI maturity having fully implemented solutions.<\/p>\n<p>These statistics come from an extensive global survey of 1,600 decision makers in genAI strategy or data analytics in organizations across key sectors conducted by Coleman Parkes for data management and analytics vendor SAS. But what is meant by full implementation? To get a clearer understanding of the results, we spoke with Jonathan Moran, head of martech solutions marketing at SAS.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-the-four-elements-of-genai-implementation\">The four elements of genAI implementation<\/h2>\n<p>The report lists four key elements for genAI success:<\/p>\n<ul>\n<li>Comprehensive governance.<\/li>\n<li>Strategic deployment.<\/li>\n<li>Technological integration.<\/li>\n<li>Expert guidance.<\/li>\n<\/ul>\n<p>It goes on to say: \u201c\u2026GenAI must be seamlessly embedded within business processes and systems. Performance should be reliable, transparent and ethical, accelerating productivity and improving customer experience, while adding measurable value to stakeholders.\u201d<\/p>\n<p>In other words, having some random team members using genAI tools here and there in their workflows just doesn\u2019t cut it.<\/p>\n<p>\u201cWhat the research shows is that they\u2019re doing a lot of experimentation with generative AI in China,\u201d said Moran. \u201cThere are a lot of governmental mandates for the use of generative AI. China is leading the way from a patent perspective when it comes to generative AI with more than 38,000 filed between 2014 and 2023. The U.S. filed 6,300 in that same time period.\u201d<\/p>\n<p>Government mandates, then, are to some extent enforcing deployment, but that falls far short of \u201cproductionizing\u201d it, to use Moran\u2019s term. \u201cThere\u2019s a a significant gap between what organizations would like to do and what they would like to productionize when it comes to generative AI and what they\u2019re actually comfortable doing right,\u201d he said. The problem remains a lack of understanding, including a lack of training. \u201cMany senior tech decision-makers admit that they don\u2019t fully understand generative AI or its impact on business processes, right? A quarter of all folks want to roll it out next year but almost everyone doesn\u2019t understand how to effectively use it.\u201d<\/p>\n<p>This goes for IT as well as other business teams. \u201cOf the CTOs surveyed, only 40% of them said that they were familiar with how their organization wanted to adopt and and deploy generative AI,\u201d said Moran.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-ai-is-not-just-generative-ai\">AI is not just generative AI<\/h2>\n<p>This report is specifically about the utilization of genAI, but the context against which it should be seen is the use, in many cases long-standing, of other types of AI. <\/p>\n<p>\u201cAt SAS, we\u2019ve been talking about AI and the different kinds of AI techniques long before generative AI kind of hit the scene,\u201d agreed Moran. \u201cWhether it\u2019s using natural language generation, natural language processing, natural language understanding to take unstructured data and and transform and normalize that into structured data; whether it\u2019s using machine learning models on the back end. But generative AI is bringing AI more to the front end CX applications. We\u2019re gonna see much immersive experiences from a CX perspective, right, whether it\u2019s actual usage of software, whether it\u2019s interactions at a point of sale or a kiosk or an ATM or even ordering, you know, fast food.\u201d<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-the-need-for-comprehensive-governance\">The need for comprehensive governance<\/h2>\n<p>The report insists that governance needs to be part of genAI implementation. Governance should address  everything from compliance with regulations, to mitigation of bias, to minimization of risks such as inadvertent data disclosure.<\/p>\n<p>\u201cGovernance builds in the kind of workflows that validate the entire life cycle of LLMs, from compliance to regulatory risk management through to reporting and measurement. If you don\u2019t have those processes in place, I think that you\u2019re setting yourself up for for trouble,\u201d said Moran.<\/p>\n<p>In absence of internal governance controls, governments or external agencies can step in. \u201cI think China\u2019s probably a good example of that where the U.S. is letting things happen more organically. One of the things we talk about at SAS is this idea of trustworthy AI \u2014 having privacy, security, compliance, all of those controls in place such that you don\u2019t end up in a situation where data gets in the wrong spot, or some bias occurs, or a data leak happens and then you\u2019ve got some bad press on your hands.\u201d<\/p>\n<p><strong><em>Dig deeper: <a rel=\"nofollow noopener\" href=\"https:\/\/martech.org\/rethinking-content-governance-in-the-era-of-generative-ai\/\" target=\"_blank\">Rethinking content\u00a0<strong>governance<\/strong>\u00a0in the era of generative AI<\/a><\/em><\/strong><\/p>\n<h2 class=\"wp-block-heading\" id=\"h-the-sas-solution\">The SAS solution<\/h2>\n<p>It should come as no surprise that SAS has developed a solution to many of the above challenges. Its Viya platform runs AI models \u2014 and not just generative AI \u2014 at speed and scale, with governance built in. It can also feed its results directly into Adobe and Salesforce instances.<\/p>\n<p>\u201cWe\u2019ve got a connector framework through which we integrate with the Salesforces and the Adobes of the world,\u201d Moran confirmed, \u201cbecause they\u2019re the big martech vendors in the space, right? What we do is position ourselves as that analytical horsepower that can sit behind them.\u201d<\/p>\n<p>The full report <a rel=\"nofollow noopener\" href=\"http:\/\/www.sas.com\/genai-report\" target=\"_blank\">can be found here<\/a> (registration required).<\/p>\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile is-vertically-aligned-center has-black-color has-white-background-color has-text-color has-background\" style=\"grid-template-columns:44% auto\">\n<figure class=\"wp-block-media-text__media\"><a rel=\"nofollow\" href=\"https:\/\/www.surveymonkey.com\/r\/HN2NQGJ\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"549\" height=\"354\" alt=\"2024 Replacement Survey Logo\" class=\"wp-image-392896 size-full\" srcset=\"https:\/\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo.png.webp 549w,https:\/\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo-524x338.png.webp 524w,https:\/\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo-175x113.png.webp 175w\" data-lazy-sizes=\"(max-width: 549px) 100vw, 549px\" src=\"https:\/\/i0.wp.com\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo.png.webp?resize=549%2C354&#038;ssl=1\"\/><img data-recalc-dims=\"1\" fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" width=\"549\" height=\"354\" src=\"https:\/\/i0.wp.com\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo.png.webp?resize=549%2C354&#038;ssl=1\" alt=\"2024 Replacement Survey Logo\" class=\"wp-image-392896 size-full\" srcset=\"https:\/\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo.png.webp 549w,https:\/\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo-524x338.png.webp 524w,https:\/\/martech.org\/wp-content\/uploads\/2024\/06\/2024-replacement-survey-logo-175x113.png.webp 175w\" sizes=\"(max-width: 549px) 100vw, 549px\"\/><\/a><\/figure>\n<\/div>\n<p><!-- START INLINE FORM --><\/p>\n<p><!-- END INLINE FORM --><\/p>\n<hr\/>\n<hr\/>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/martech.org\/china-leads-the-world-in-generative-ai-use\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Eighty-three percent of Chinese business decision-makers say their organizations are using AI. This contrasts with the U.S. (65%) and the U.K. (70%). However, closer questioning reveals that U.S. organizations are ahead in terms of genAI maturity having fully implemented solutions. These statistics come from an extensive global survey of 1,600 decision makers in genAI strategy [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":8174,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-8173","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agency"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.8 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>China leads the world in generative AI use - OK Design<\/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:\/\/okdesign.ca\/en\/china-leads-the-world-in-generative-ai-use\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"China leads the world in generative AI use\" \/>\n<meta property=\"og:description\" content=\"Eighty-three percent of Chinese business decision-makers say their organizations are using AI. 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