{"id":2342,"date":"2023-03-13T09:55:15","date_gmt":"2023-03-13T09:55:15","guid":{"rendered":"https:\/\/humanpotential.fi\/?p=2342"},"modified":"2023-03-13T09:55:16","modified_gmt":"2023-03-13T09:55:16","slug":"tekoalya-ihmislahtoisesti","status":"publish","type":"post","link":"https:\/\/humanpotential.fi\/en\/artikkelit\/tekoalya-ihmislahtoisesti\/","title":{"rendered":"AI FOR PEOPLE"},"content":{"rendered":"<p>Adopting new technology and innovations is important for companies to succeed in today\u2019s competitive environment. One technology that has received enormous attention in recent years is Artificial Intelligence (AI). Although more and more companies are already using AI and creating value with it, many are still struggling with its adoption. Where can it be used? What capabilities are needed? How will the AI solutions address real business needs? How can we realize the value from AI implementations? These were also the main questions in my Master\u2019s Thesis, which analyzed AI adoption in six Finnish companies at the forefront of the AI and analytics adoption.<\/p>\n\n\n\n<p>The main findings from the thesis suggest that companies should also put effort into post-implementation activities to realize the benefits from AI. The value and benefits aren\u2019t realized unless the organization\u2019s roles and processes are changed to support the interaction between humans and machines, the end users make data-driven decision and they actually use the implemented tools. On the other hand, many things already earlier in the process also affect getting the organization to change the behavior. Let\u2019s take an example. Concentrating on the end users and their tools during the implementation will make the subsequent deployment easier. Therefore, it is important for organizations to take into account post-implementation activities but also at an earlier stage concentrate on the mechanisms that make the change easier.<\/p>\n\n\n\n<p>The level and rate of AI adoption differ between industries and companies. Therefore, it is difficult to give unequivocal instructions to companies on how to approach and plan AI adoption activities. However, the findings from my thesis provide a foundation for some general guidelines.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1 \u2013 Ensure management\u2019s priority and support<\/strong><\/h3>\n\n\n\n<p>Management\u2019s prioritization and support of AI adoption activities is a prerequisite for successful AI adoption. It came out in the thesis that unless management understands and trusts AI\u2019s potential and benefits, the probability of success is minimal.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2 \u2013 Secure access to required capabilities for AI adoption<\/strong><\/h3>\n\n\n\n<p>To enable AI adoption, a company needs understanding of AI, technological capabilities, strategic and business related capabilities, and digital capabilities. These can be developed internally or acquired outside of the company. However, it is advisable that an understanding of AI and strategic and business related capabilities should reside inside the organization.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3 \u2013 Analyze the digital maturity of the company<\/strong><\/h3>\n\n\n\n<p>It is important to analyze the company\u2019s current maturity regarding digitalization. Higher digital maturity makes the AI adoption easier in two ways. First, the digital processes enable collection of larger amounts of high-quality data. Second, the earlier digitalization activities may have resulted in a positive mindset towards implementing new digital solutions.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4 \u2013 Address real business problems with implementation activities<\/strong><\/h3>\n\n\n\n<p>Companies should not adopt AI because of AI itself. More important is to see AI tools as a way to solve business problems. There are three ways companies can ensure that implementations address real business problems. (1) Implementation projects agile and continuous execution, (2) involving end users and focusing on their tools as well as (3) enabling smooth collaboration between technology and business people.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5 \u2013 Preparing the organization for deployment<\/h3>\n\n\n\n<p>Change management practices can be used to prepare employees to make changes in their behavior and deploy the implemented AI tools. Continuous and concrete communication about the reasons for change, the impact on different roles, as well as achieved successes, creates a positive attitude toward AI. This positive attitude speeds up the change itself.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6 \u2013 Focusing on behavioral changes in the organization<\/h3>\n\n\n\n<p>The benefits of AI adoption aren\u2019t realized until the organization has changed the behavior and adopted new ways of working. On a higher-level this requires managers to plan changes in roles and processes, ensure that data-driven decisions are made, and prepare end users to really use the implemented tools. However, this is not only the responsibility of managers but it is advisable to have everyone onboard from the very beginning.<\/p>\n\n\n\n<p>In conclusion, successful AI adoption requires more than fancy technology platforms and data scientists. If you recognize that perhaps your company has not concentrated on post-implementation activities enough nor equipped end users with the right tools and ensured that they know how to use them, now it is time to act.<\/p>\n\n\n\n<p><em>Eetu Rantanen<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Uusien teknologioiden ja innovaatioiden hy\u00f6dynt\u00e4minen yrityksiss\u00e4 on t\u00e4rke\u00e4\u00e4, jotta ne voivat selviyty\u00e4 nykyajan kilpailuymp\u00e4rist\u00f6ss\u00e4. Teko\u00e4ly on yksi teknologia, joka on viime vuosina saanut paljon huomiota osakseen. Vaikka yh\u00e4 lis\u00e4\u00e4ntyv\u00e4 m\u00e4\u00e4r\u00e4 yrityksi\u00e4 hy\u00f6dynt\u00e4\u00e4 jo teko\u00e4ly\u00e4 ja luo sill\u00e4 arvoa, moni viel\u00e4 kipuilee asian kanssa. Mihin sit\u00e4 voidaan k\u00e4ytt\u00e4\u00e4? Mink\u00e4laisia osaamisalueita teko\u00e4lyn hy\u00f6dynt\u00e4minen vaatii? Miten teko\u00e4lyratkaisut kohtaavat [&hellip;]<\/p>","protected":false},"author":1,"featured_media":2343,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-2342","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artikkelit"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>TEKO\u00c4LY\u00c4 IHMISL\u00c4HT\u00d6ISESTI - H.U.M.A.N.<\/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:\/\/humanpotential.fi\/en\/artikkelit\/tekoalya-ihmislahtoisesti\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TEKO\u00c4LY\u00c4 IHMISL\u00c4HT\u00d6ISESTI - H.U.M.A.N.\" \/>\n<meta property=\"og:description\" content=\"Uusien teknologioiden ja innovaatioiden hy\u00f6dynt\u00e4minen yrityksiss\u00e4 on t\u00e4rke\u00e4\u00e4, jotta ne voivat selviyty\u00e4 nykyajan kilpailuymp\u00e4rist\u00f6ss\u00e4. Teko\u00e4ly on yksi teknologia, joka on viime vuosina saanut paljon huomiota osakseen. Vaikka yh\u00e4 lis\u00e4\u00e4ntyv\u00e4 m\u00e4\u00e4r\u00e4 yrityksi\u00e4 hy\u00f6dynt\u00e4\u00e4 jo teko\u00e4ly\u00e4 ja luo sill\u00e4 arvoa, moni viel\u00e4 kipuilee asian kanssa. Mihin sit\u00e4 voidaan k\u00e4ytt\u00e4\u00e4? Mink\u00e4laisia osaamisalueita teko\u00e4lyn hy\u00f6dynt\u00e4minen vaatii? 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