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MFEC | The Leading Tech Company in Thailand

Tech Talk

Optimize IT Operations Costs with “MServ” Automation & Management Platform by MFEC

MServ is an automation and management platform that enables organizations to efficiently manage IT operations and enhance business processes—helping reduce costs, increase agility, and create a competitive advantage for businesses in Thailand. Which businesses should use MServ?Any business that aims to leverage technology to gain a competitive advantage. Why should every business use MServ? It directly addresses the real challenges faced by businesses in Thailand at a lower cost, as it is a localized platform built by MFEC’s experts. Helps you make faster and more accurate data-driven decisions. Reduces repetitive and time-consuming tasks. The system is flexible and adaptable to change. Enables smoother cross-team collaboration. Reduces the risk of human error. What modules does MServ have? IT Service Management (ITSM) Issue Reporting System (Ticketing) Change Management Incident & Problem Management Asset Management IT Asset and Resource Monitoring & Management Asset Lifecycle Management Automation Workflow Create and manage automated workflows to

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Reality Check: Why Organizations Invest in AI but Still Don’t See Business Results

At a time when economic recovery is slow and every investment must be carefully considered, AI has become a source of hope for many organizations. However, the reality is that many still have not seen clear results from their AI investments. More than 80–95% of organizations report that their AI projects have yet to deliver clear ROI. Less than 30% of organizations are able to deploy AI effectively at an enterprise-wide level. The problem isn’t AI—it’s the way organizations invest in it.Most organizations don’t fail because they choose the wrong technology, but because they start in the wrong place.Common challenges seen across many organizations include: Purchasing AI tools in silos Providing one-off training sessions Viewing AI as solely an IT responsibility Reality Check: The Numbers Behind the Failure Over 50% of organizations state that AI challenges lie in workflows—not in the models. More than 40% of AI budgets are spent

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When Buildings Learn to Think: MFEC’s Perspective from the CU Living ARCH 5.0 Project with Digital Twin Technology

Climate change is a critical global challenge that impacts both the environment and human livelihoods. Today, technology plays a vital role in mitigating these effects and addressing such challenges—ranging from clean energy to intelligent systems—all in pursuit of sustainable development. This raises an important question: in an era driven by AI, can technology help humanity effectively respond to environmental changes?  The CU Living ARCH 5.0 project is a collaboration between Chulalongkorn University, Cisco, and MFEC Public Company Limited. In this initiative, MFEC designed the role of Digital Twin technology to go beyond being merely a data visualization tool, evolving into a proactive management system that integrates environmental data, building systems, and real-world usage.  CU Living ARCH 5.0 is therefore more than just a smart building project—it represents the creation of a “living building” capable of sensing and analyzing changes both inside and outside the structure. For example, when the number of occupants increases,

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The Launch of the Google Cloud Region in Thailand: A Major Milestone Toward Future-Ready Digital Infrastructure

The launch of the Google Cloud Region in Thailand represents a strategic investment that lays the foundation for the country’s digital future. It aims to empower Thai organizations to confidently lead in the AI-driven economy through a secure, data-sovereign, and high-performance infrastructure. MFEC views Google Cloud not merely as a global cloud service provider, but as a strategic partner ready to closely support Thailand’s national AI strategy. The Four Core Value Pillars of the Google Cloud Region Designed for Thailand 1. Sovereignty & Trust“A Cloud Built for Thailand” Supports in-country data storage Compliant with the Personal Data Protection Act (PDPA) Equipped with industry-leading security systems 2. Speed & Resilience“A Cloud That Accelerates Your Business” Supports low-latency operations Highly resilient with three independent Availability Zones 3. AI Innovation“A Cloud Designed to Bring AI to Life for Thai Enterprises” Direct access to Gemini and Vertex AI from within Thailand Supports enterprise-grade deployment

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MFEC and Huawei Elevate The Mall Group’s IT Infrastructure with Huawei OceanStor Solution, Enhancing Stability and Supporting Future Growth

MFEC and Huawei have collaborated to upgrade The Mall Group’s IT systems with the Huawei OceanStor solution, enhancing the stability of the IT infrastructure, supporting expansion, and increasing flexibility in data storage — effectively addressing the challenges of modern retail businesses. Organizations experiencing continuous growth require a strong IT infrastructure as a backbone. A major step for The Mall Group was this Tech Refresh, entrusting MFEC and Huawei to design and deploy OceanStor for new Production Storage to accommodate the ever-increasing data volume. This storage upgrade is more than just a hardware refresh; it is a strategic investment for the business’s future, helping to reduce downtime, improve efficiency, and enable the IT team to operate more effectively while supporting complex workloads over the long term. Watch the testimonial to hear real user experiences and see how the IT infrastructure is ready to scale to the next level. If your organization

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MFEC, a leading digital technology and end-to-end services provider in Thailand, has received the Google Cloud Data Analytics Specialization, reaffirming its expertise in data analytics.

MFEC Public Company Limited (MFEC), a leading digital technology and end-to-end services provider in Thailand, has announced a major milestone with the achievement of the Google Cloud Data Analytics Specialization. This recognition certifies MFEC’s excellence in consulting, designing, and delivering data analytics solutions on the Google Cloud platform with efficiency, security, and adherence to international standards. Achieving this Google Cloud Specialization serves as a testament to MFEC’s deep expertise and proven capabilities in helping clients transform raw data into meaningful insights, creating business advantages through leading data analytics technologies on Google Cloud, such as BigQuery, Looker, Dataflow, and more. This achievement also reflects MFEC’s strong commitment and reinforces customer confidence that leveraging Data Analytics services on Google Cloud with MFEC delivers maximum return on investment (ROI), supported by use cases precisely tailored to each business’s unique needs—from data ingestion and storage to processing and insight visualization. It further solidifies MFEC’s

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MFEC Joins Forces with Google Cloud at PanyaThAI: Driving Thai Organizations Toward Full Agentic AI

MFEC collaborated with Google Cloud in the PanyaThAI Program to support Thai businesses in transitioning confidently, securely, and efficiently into the era of Agentic AI.  Khun Siriwat Wongcharukorn (Khun Leng), CEO of MFEC, shared his vision during the keynote, emphasizing effective AI adoption in organizations and highlighting the importance of modern Thai organizations adapting to AI to gain a business advantage.  “We need to drive organizations toward AI, not wait for AI to come to the organization.” – Khun Siriwat Wongcharukorn, CEO, MFEC  From assisting multiple clients with AI adoption, Khun Leng observed that the main challenge isn’t technology—it’s people (People). He distilled his insights into three key points:  Adapt the organization to AI, not AI to the organization Trying to fit AI into existing processes rarely succeeds. Organizations must be willing to rethink processes and structures to align with AI capabilities (e.g., let AI handle 80% of tasks while humans manage the remaining 20%). 2.AI is not just an IT responsibility Business units themselves (HR, Finance, Sales, etc.) should drive AI

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CrowdAbout Wins the ‘DIPROM x Delta Angel Fund Connect 2025’ Award and Creates a Sensation on ‘Shark Tank Thailand’ — A Major Milestone for a Thai Startup Backed by Investments from MFEC and Venture Lab.

CrowdAbout, a Business Intelligence consultancy backed by MFEC and Venture Lab, wins an award at the DIPROM x Delta Angel Fund Connect 2025 and secures co-investment from Shark Tae of Shark Tank Thailand, reinforcing its leadership in Thailand’s consumer insight space. Empowering Business Through Data – When Data Becomes the Power of Success. CrowdAbout was established through a collaboration between MFEC and Venture Lab to build a data-driven business ecosystem. At its core is the Crowdster platform, which brings together a nationwide network of over 250,000 consumers via LINE Official Account and CrowdAbout’s mobile application. All participants are required to create a verified profile containing key information such as age, gender, occupation, income, and consumption behavior. This data is stored within a Big Data infrastructure designed to enable deep connectivity and granular consumer segmentation. As surveys are completed, the system updates profiles in real time, creating a continuously learning and

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Why Do AI Projects Fail in Organizations?

“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

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AI for Business: Start with the Business Problem, Not the Technology

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

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