{"id":11649,"date":"2019-07-23T19:19:47","date_gmt":"2019-07-23T16:19:47","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=11649"},"modified":"2026-03-27T18:23:22","modified_gmt":"2026-03-27T15:23:22","slug":"gartner-survey-reveals-leading-organizations-expect-to-double-the-number-of-ai-projects-in-place-within-the-next-year","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/gartner-survey-reveals-leading-organizations-expect-to-double-the-number-of-ai-projects-in-place-within-the-next-year\/","title":{"rendered":"Gartner Survey Reveals Leading Organizations Expect to Double the Number of AI Projects In Place Within the Next Year"},"content":{"rendered":"

Organizations that are working with artificial intelligence<\/a> (AI) or machine learning<\/a> (ML) have, on average, four AI\/ML projects in place, according to a recent survey by Gartner, Inc. Of all respondents, 59% said that they have AI deployed today.<\/p>\n

 <\/p>\n

The Gartner \u201cAI and ML Development Strategies\u201d study was conducted via an online survey in December 2018 with 106 Gartner Research Circle Members \u2013 a Gartner-managed panel composed of IT and IT\/business professionals. Participants were required to be knowledgeable about the business and technology aspects of ML or AI either currently deployed or in planning at their organizations.<\/p>\n

 <\/p>\n

\u201cWe see a substantial acceleration in AI adoption<\/a> this year,\u201d said Jim Hare, research vice president at Gartner. \u201cThe rising number of AI projects means that organizations may need to reorganize internally to make sure that AI projects are properly staffed and funded. It is a best practice to establish an AI Center of Excellence to distribute skills, obtain funding, set priorities and share best practices in the best possible way.\u201d<\/p>\n

 <\/p>\n

Today, the average number of AI projects in place is four, but respondents expect to add six more projects in the next 12 months, and another 15 within the next three years (see Figure 1). This means that in 2022, those organizations expect to have an average of 35 AI or ML projects in place.<\/p>\n

 <\/p>\n

 <\/p>\n

Source: Gartner (July 2019)<\/p>\n

 <\/p>\n

<\/a>Customer Experience (CX) and Task Automation Are Key Motivators<\/strong><\/p>\n

Forty percent of organizations named CX<\/a> as their top motivator to use AI technology. While technologies such as chat bots or virtual personal assistants<\/a> can be used to serve external clients, most organizations (56%) today use AI internally to support decision making<\/a> and give recommendations to employees. \u201cIt is less about replacing human workers and more about augmenting and enabling<\/a> them to make better decisions faster,\u201d Mr. Hare said.<\/p>\n

 <\/p>\n

Automating tasks is the second most important project type \u2014 named by 20% of respondents as their top motivator. Examples of automation include tasks such as invoicing and contract validation in finance or automated screening and robotic interviews in HR.<\/p>\n

 <\/p>\n

The top challenges to adopting AI for respondents were a lack of skills (56%), understanding AI use cases (42%), and concerns with data scope or quality (34%). \u201cFinding the right staff skills<\/a> is a major concern whenever advanced technologies are involved,\u201d said Mr. Hare. \u201cSkill gaps can be addressed using service providers, partnering with universities, and establishing training programs for existing employees. However, establishing a solid data management foundation is not something that you can improvise. Reliable data quality<\/a> is critical for delivering accurate insights, building trust and reducing bias. Data readiness must be a top concern for all AI projects.\u201d<\/p>\n

 <\/p>\n

Measuring the Success of AI Projects<\/strong><\/p>\n

The survey showed that many organizations use efficiency as a target success measurement when they seek to measure a project\u2019s merit. \u201cUsing efficiency targets as a way of showing value is more prevalent in organizations who say they are conservative or mainstream in their adoption profiles. Companies who say they\u2019re aggressive in adoption strategies were much more likely instead to say they were seeking improvements in customer engagement,\u201d said Whit Andrews<\/a>, distinguished vice president, analyst at Gartner.<\/p>\n

 <\/p>\n

Gartner clients can learn more in \u201cSurvey Analysis: AI and ML Development Strategies, Motivators and Adoption Challenges.\u201d<\/a><\/p>\n

 <\/p>\n

 <\/p>\n

About Gartner<\/strong><\/p>\n

Gartner, Inc. (NYSE: IT) is the world\u2019s leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities\u00a0and build the successful organizations of tomorrow.<\/p>\n

 <\/p>\n

Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. We are a trusted advisor and objective resource for more than 15,000 organizations in more than 100 countries \u2014 across all major functions, in every industry and organization size.<\/p>\n

 <\/p>\n

To learn more about how we help decision makers fuel the future of business, visit www.gartner.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Organizations that are working with artificial intelligence (AI) or machine learning (ML) have, on average, four AI\/ML projects in place, according to a recent survey by Gartner, Inc. Of all respondents, 59% said that they have AI deployed today.   The Gartner \u201cAI and ML Development Strategies\u201d study was conducted via an online survey in […]<\/p>\n","protected":false},"author":2,"featured_media":495,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"1","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_pr_autopilot_social_copy":"","_yoast_wpseo_opengraph_title":"","_yoast_wpseo_opengraph_description":"","_yoast_wpseo_opengraph_image":"","_yoast_wpseo_opengraph_image_id":0,"_yoast_wpseo_twitter_title":"","_yoast_wpseo_twitter_description":"","_yoast_wpseo_twitter_image":"","_yoast_wpseo_twitter_image_id":0,"_yoast_wpseo_primary_category":0,"_extra_hide_author_box":"1","_extra_featured_post":"","_partner_post_id":0,"footnotes":""},"categories":[449],"tags":[172],"class_list":["post-11649","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-gartner","et-has-post-format-content","et_post_format-et-post-format-standard"],"yoast_head":"\nAI projects - Gartner survey shows rapid growth | Saudi Shopper<\/title>\n<meta name=\"description\" content=\"AI projects: Gartner survey finds 59% already have AI deployed and many expect to double AI projects within a year. 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