AILifeCycle

“One key reason is that organizations lack an Orchestrator for managing the AI lifecycle.” — Mr. Jum Damrongsak Reetanon, Chief Infrastructure and Integration Officer  What is an Orchestrator, and why is it important? 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—an Orchestrator—who can align technical and business elements to work together efficiently, ensuring the final output truly meets organizational goals. Challenges and Complexity in Managing the AI Lifecycle  Different perspectives : Technical teams focus on model creation and management, while business leaders expect AI to drive better business outcomes. The Orchestrator bridges these viewpoints.  Misunderstanding AI : Many think AI is only Generative AI or ChatGPT, but it also includes Predictive Models for specialized analytics, such as AI for reading X-rays.  ESG and

Many organizations begin by asking, “Which AI model should we choose?”  However, according to Khun Joob Damrongsak Reetanon – Chief Infrastructure and Integration Officer, this question is not the most important when it comes to using AI effectively for business.  “Before asking which AI model to use, the more important question is: what business problem does the organization want the AI application to solve?” AI Model vs AI Application AI Model : The “brain” or intelligent mechanism that processes data.  AI Application : The “tool” that applies the AI’s capabilities to address real business needs.  Why Start with the Business Problem?  Investing in AI purely from a technology perspective can lead to high costs without delivering real results. On the other hand, starting from a business problem ensures that AI applications have clear objectives, such as:  Increasing operational efficiency while reducing time and costs Enhancing customer experience Strengthening cybersecurity and data governance Enabling competitive new business models Recommended Checklist Before Investing in