{"id":42071,"date":"2025-10-14T04:41:17","date_gmt":"2025-10-14T04:41:17","guid":{"rendered":"https:\/\/www.mfec.co.th\/uncategorized\/why-do-ai-projects-fail-in-organizations\/"},"modified":"2026-02-06T07:32:34","modified_gmt":"2026-02-06T07:32:34","slug":"why-do-ai-projects-fail-in-organizations","status":"publish","type":"post","link":"https:\/\/www.mfec.co.th\/en\/tech-talk\/why-do-ai-projects-fail-in-organizations\/","title":{"rendered":"Why Do AI Projects Fail in Organizations?"},"content":{"rendered":"\n

“One key reason is that organizations lack an Orchestrator for managing the AI lifecycle.”<\/span><\/span><\/strong>\u00a0<\/span><\/strong>
<\/span>\u2014\u00a0<\/span><\/span>Mr.\u00a0<\/span>Jum<\/span>\u00a0<\/span>Damrongsak<\/span>\u00a0<\/span>Reetanon<\/span>, Chief Infrastructure and Integration Officer<\/span><\/span>\u00a0<\/span><\/h4>\n\n

What is an Orchestrator, and why is it important?<\/span><\/span><\/strong><\/p>\n\n

Implementing AI in an organization is like running an orchestra with many different instruments. Even if you have talented musicians, without a conductor to guide the rhythm, volume, and harmony, the music will lack cohesion. Similarly, managing an AI project requires someone who sees the big picture\u2014an Orchestrator\u2014who can align technical and business elements to work together efficiently, ensuring the final output truly meets organizational goals.<\/p>\n\n

Challenges and Complexity in Managing the AI Lifecycle<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n\n

  • Different perspectives<\/strong> :<\/span><\/span>\u00a0Technical teams focus on model creation and management, while business leaders expect AI to drive better business outcomes. The Orchestrator bridges these viewpoints.<\/span><\/span>\u00a0<\/span><\/li>
  • Misunderstanding AI<\/strong> :<\/span><\/span>\u00a0Many\u00a0<\/span>think<\/span>\u00a0AI is only Generative AI or\u00a0<\/span>ChatGPT<\/span>, but it also includes\u00a0<\/span><\/span>Predictive Models<\/span><\/span>\u00a0for specialized analytics, such as AI for reading X-rays.<\/span><\/span>\u00a0<\/span><\/li>
  • ESG and energy considerations<\/strong> :<\/span><\/span>\u00a0Building AI models\u00a0<\/span>consumes<\/span>\u00a0significant energy. Poor planning can negatively\u00a0<\/span>impact<\/span>\u00a0an organization\u2019s ESG KPIs.<\/span><\/span>\u00a0<\/span><\/li>
  • Model selection and integration<\/strong> :<\/span><\/span>\u00a0Different AI models have different strengths. Choosing and combining the right models to meet business needs requires expert guidance.<\/span><\/span>\u00a0<\/span><\/li>
  • Cybersecurity concerns<\/strong> :<\/span><\/span>\u00a0AI often processes sensitive data. Using external cloud services increases the risk of data leakage, making risk management critical.<\/span><\/span>\u00a0<\/span><\/li><\/ul>\n\n

    Key Considerations in the AI Lifecycle<\/span><\/span>\u00a0<\/span><\/strong><\/p>\n\n

    • Data security and protection <\/strong>:<\/span><\/span>\u00a0Careful planning is needed to safeguard sensitive data both on-premises and in the cloud.<\/span><\/span>\u00a0<\/span><\/li>
    • Post-Implementation Care<\/strong> :<\/span><\/span>\u00a0Beyond building AI applications, organizations must ensure continuous operation, including stability management, data backup and recovery, vulnerability management, and regular system updates.<\/span><\/span>\u00a0<\/span><\/li>
    • Cross-functional coordination<\/strong> :<\/span><\/span>\u00a0Large AI projects may involve multiple technologies. A person overseeing the whole picture ensures all components work smoothly toward business goals.<\/span><\/span>\u00a0<\/span><\/li><\/ul>\n\n

      MFEC\u2019s Experience and Readiness<\/span><\/span><\/strong><\/p>\n\n

      MFEC recognizes the importance of managing the AI lifecycle and has established an AI Lab to drive AI technologies across various organizational functions. We have experience applying AI to solve real business problems with an Orchestrator perspective, effectively managing complexity.<\/p>\n\n

      We are ready to provide consulting and AI lifecycle management strategies for any organization, enabling AI to become an orchestra that plays the symphony of business success beautifully and sustainably. <\/p>\n\n

      <\/p>\n\n

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