{"id":42062,"date":"2025-09-24T12:57:43","date_gmt":"2025-09-24T12:57:43","guid":{"rendered":"https:\/\/www.mfec.co.th\/uncategorized\/ai-for-business-start-with-the-business-problem-not-the-technology\/"},"modified":"2026-02-06T07:18:28","modified_gmt":"2026-02-06T07:18:28","slug":"ai-for-business-start-with-the-business-problem-not-the-technology","status":"publish","type":"post","link":"https:\/\/www.mfec.co.th\/en\/tech-talk\/ai-for-business-start-with-the-business-problem-not-the-technology\/","title":{"rendered":"AI for Business: Start with the Business Problem, Not the Technology"},"content":{"rendered":"\n

Many organizations begin by asking,\u00a0<\/span><\/span>\u201cWhich AI model should we choose?\u201d<\/span><\/span>\u00a0<\/span>
<\/span><\/h4>\n\n

However, according to\u00a0<\/strong><\/span><\/span>Khun<\/span>\u00a0<\/span>Joob<\/span>\u00a0<\/span>Damrongsak<\/span>\u00a0<\/span>Reetanon<\/span>\u00a0\u2013 Chief Infrastructure and Integration Officer<\/span><\/span><\/strong>, this question is not the most important when it comes to using AI effectively for business.<\/span><\/span>\u00a0<\/span><\/p>\n\n

\u201cBefore asking which AI model to use, the more important question is: what business problem does the organization want the AI application to solve?\u201d <\/h4>\n\n
\"\"<\/figure><\/div>\n\n

AI Model vs AI Application<\/em><\/strong><\/p>\n\n

  • AI Model <\/span><\/span><\/strong>: The \u201cbrain\u201d or intelligent mechanism that processes data.<\/span><\/span>\u00a0<\/span><\/li>
  • AI Application <\/span><\/span><\/strong>: The \u201ctool\u201d that applies the AI\u2019s capabilities to address\u00a0<\/span>real business<\/span>\u00a0needs.<\/span><\/span>\u00a0<\/span><\/li><\/ul>\n\n

    Why Start with the Business Problem?<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n\n

    Investing in AI purely from a technology perspective can lead to\u00a0<\/span>high costs<\/span>\u00a0without delivering\u00a0<\/span>real results<\/span>. On the other hand, starting from a business problem ensures that AI applications have clear\u00a0<\/span>objectives<\/span>, such as:<\/span><\/span>\u00a0<\/span><\/p>\n\n

    • Increasing operational efficiency while reducing time and costs <\/li>
    • Enhancing customer experience <\/li>
    • Strengthening cybersecurity and data governance <\/li>
    • Enabling competitive new business models <\/li><\/ul>\n\n

      Recommended Checklist Before Investing in AI<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n\n

      Getting the most value from AI doesn\u2019t depend solely on choosing the \u201clatest\u201d technology. It starts with reviewing business problems and ensuring the supporting infrastructure is ready. Consider these points: <\/p>\n\n

      \u2611\ufe0f Define Clear Business Goals<\/span><\/span><\/strong>\u00a0<\/span><\/strong>
      <\/span>Ensure AI applications address\u00a0<\/span>real business<\/span>\u00a0challenges.<\/span><\/span>\u00a0<\/span><\/p>\n\n

      \u2611\ufe0fChoose the Right Tools and AI Models<\/span><\/span>
      <\/span><\/strong>Each AI model has different strengths.\u00a0<\/span>It\u2019s<\/span>\u00a0not always necessary to use just one. Sometimes, multiple simpler models working together can achieve the desired results. In other cases, a custom AI model may need to be developed for your specific needs.<\/span><\/span><\/p>\n\n

      \u2611\ufe0f<\/strong>Data is Critical<\/span><\/b> \nData quality<\/span><\/b>\u00a0is the foundation of reliable AI. High-quality data includes:<\/span>\u00a0<\/span> \n

        \n \t
      • Accuracy<\/span><\/b>: True and correct information<\/span>\u00a0<\/span><\/li> \n<\/ul> \n
          \n \t
        • Completeness<\/span><\/b>: No missing critical data<\/span>\u00a0<\/span><\/li> \n<\/ul> \n
            \n \t
          • Representativeness<\/span><\/b>: Reflects the overall real-world scenario without bias<\/span>\u00a0<\/span><\/li> \n<\/ul> \n
              \n \t
            • Consistency<\/span><\/b>: Uniform across all datasets<\/span>\u00a0<\/span><\/li> \n<\/ul> \n
                \n \t
              • Relevance<\/span><\/b>: Directly addresses the problem at hand<\/span> \nThese factors ensure precise and trustworthy AI outputs.<\/span>\u00a0<\/span><\/li> \n<\/ul><\/p>\n\n

                \u2611\ufe0f Manage Risks<\/span><\/span><\/strong>\u00a0<\/span><\/strong>
                <\/span>Cover\u00a0<\/span><\/span>cost optimization<\/span><\/span>,\u00a0<\/span><\/span>data security<\/span><\/span>, and\u00a0<\/span><\/span>governance<\/span><\/span>\u00a0to prevent leaks or misuse.<\/span><\/span>\u00a0<\/span><\/p>\n\n

                \u2611\ufe0f Build Flexible and Robust Infrastructure<\/span><\/span>\u00a0<\/span>
                <\/span><\/strong>Servers<\/strong>, storage, networks, cloud platforms, and cybersecurity\u00a0<\/span>form<\/span>\u00a0the backbone for safe and efficient AI operations.<\/span><\/span>\u00a0<\/span><\/p>\n\n

                \u2611\ufe0f Choose a Technology Consultant Who Understands Both Business and Infrastructure<\/span><\/span><\/strong>\u00a0<\/span><\/strong>
                <\/span>A good consultant not only knows AI but also helps link\u00a0<\/span><\/span>business\u00a0<\/span>objectives<\/span><\/span>\u00a0with\u00a0<\/span><\/span>technology foundations<\/span><\/span>\u00a0effectively.<\/span><\/span>\u00a0<\/span><\/p>\n\n

                By following these steps, organizations can ensure AI investments are valuable and deliver the highest possible returns. <\/p>\n\n

                #AIforBusiness #CostOptimization #MFEC #AIApplication #AILifeCycle<\/p>\n","protected":false},"excerpt":{"rendered":"

                Many organizations begin by asking,\u00a0\u201cWhich AI model should we choose?\u201d\u00a0 However, according to\u00a0Khun\u00a0Joob\u00a0Damrongsak\u00a0Reetanon\u00a0\u2013 Chief Infrastructure and Integration Officer, this question is not the most important when it comes to using AI effectively for business.\u00a0 \u201cBefore asking which AI model to use, the more important question is: what business problem does the organization want the AI […]<\/p>\n","protected":false},"author":10,"featured_media":41569,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[17,92,110],"tags":[351,734,732,733,352,691,731],"acf":[],"aioseo_notices":[],"yoast_head":"\nAI for Business: Start with the Business Problem, Not the Technology<\/title>\n<meta name=\"description\" content=\"Many organizations begin by asking, \u201cWhich AI model should we choose?\u201d\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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