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In 2025, when discussing the rapidly growing trend of Artificial Intelligence (AI), it is impossible to overlook Agentic AI—a technology that has gained significant attention since late 2024. Both now and in the future, Agentic AI will play a critical role in deep operational work, decision-making, and adapting to the increasing complexity of today’s fast-changing business landscape. We invite you to explore Agentic AI and discover how MFEC’s professional consulting services empower organizations to achieve success in the digital era. What Is Agentic AI?  Agentic AI refers to artificial intelligence that operates autonomously, similar to a virtual assistant. It can think, analyze, make decisions, and learn independently to achieve specific goals—without requiring constant human guidance.  Today, enterprise IT systems face multiple challenges, including: Limitations of legacy systems Complexity in system maintenance High operational costs Products reaching End-of-Life (EOL) As a result, system transformation and optimization have

MFEC

MFEC

Confluent X MFEC : Real-time Data Integration Hub 

MFEC x Confluent MFEC is proud to be a part of the Build with Confluent initiative. By verifying our streaming-based use cases with Confluent, you can have confidence that our Confluent-based service offering is not only built on the leading data streaming platform but also verified by the experts at Confluent. Confluent is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven back-end operations. Real-time Data Integration Hub use case Centralizing data helps reduce data silos in your organization. All departments can syncronize data, with access permissions

MFEC

MFEC

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Connecting Manufacturing and Retail Through the Power of AI

In an era of rapid technological advancement, Artificial Intelligence (AI) has emerged as a key driving force in transforming industries—particularly manufacturing, distribution, and retail. According to research by McKinsey, AI has the potential to significantly reduce production costs and greatly enhance operational efficiency. Businesses that integrate AI into their workflows are able to achieve higher profitability while responding more quickly to customer needs and rapidly changing market demands. This article explores how AI plays a critical role in connecting and optimizing the supply chain across manufacturing, distribution, and retail industries, as well as how businesses can leverage AI to improve efficiency, reduce costs, and sustainably enhance customer experience. Understanding the Two Industries  Manufacturing & Distribution This sector involves producing goods from raw materials through to finished products, as well as the movement of goods from manufacturers to markets or end consumers.  Retail Retail focuses on distributing products from retailers to consumers, serving

MFEC

MFEC

Hospital Application: Enhancing Access to Healthcare Services for Thai

What is a Hospital Application?  A Hospital Application is a mobile application designed to assist patients and hospitals in managing medical information and healthcare services. Its primary goal is to improve convenience and efficiency in patient care. Features That Enhance Convenience for Patients in the Digital Era  Online Appointment Booking Patients can easily schedule, view, reschedule, or cancel appointments online, reducing waiting time and making healthcare services more accessible.  Telemedicine Patients can consult with doctors remotely for non-complex conditions, follow-ups, or medication guidance, saving time and avoiding unnecessary hospital visits.  Queue Tracking Patients can monitor real-time queue status through the app or website, reducing anxiety and helping manage their time more effectively.  Health Record Access Digital access to medical history, prescriptions, and lab results allows patients to check essential health information anytime, anywhere.  Automated Notifications The system can send reminders for appointments, medication intake, or health check-ups to help patients stay on track with their healthcare routines. 

MFEC

MFEC

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AI-Lab: Transforming Organizations for the Future

Why Organizations Need to Develop Their Own AI  Today, artificial intelligence (AI) models such as ChatGPT, Gemini, and Claude play a significant role in enhancing organizational capabilities and operational efficiency across all industries, while also creating new business opportunities. However, adopting AI within an organization requires careful consideration of several factors, including specific use cases, cost, data security, and technology suitability. As a result, many organizations choose to develop their own AI solutions tailored to their unique needs. The level of AI development can vary, with costs depending on requirements. For example, some organizations have strict data security policies that prevent data from leaving a controlled environment; others require AI systems that integrate seamlessly with internal platforms; while some face high usage volumes that make pay-per-use cloud AI services costly. Organizations can begin developing their own AI by setting clear objectives, starting with specific use cases—such

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MFEC

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AI Revolution: Uplifting Our Future – Unlocking the Power of AI-Driven Coding

We are committed to empowering our internal teams with the most advanced tools, such as GitHub Copilot, through the session “AI Revolution: Uplifting Our Future” under the topic “AI-Driven Coding Mastery: Unlock GitHub Copilot’s Power.” This initiative brings AI into the development process to help developers work more efficiently, faster, and with greater ease. The session was led by Mr. Thongrit Thongthom (Full Stack Developer) and Mr. Prapawit Duangkaewsansuk (Technical Consultant), who actively tested and applied GitHub Copilot across multiple programming languages. They shared hands-on experiences to demonstrate the real-world benefits and capabilities of using AI in enterprise-level software development.  AI-Powered Coding Across Multiple Languages: The Versatility of GitHub Copilot  GitHub Copilot is an intelligent coding assistant that supports a wide range of programming languages, allowing developers to choose the most suitable language for each project. Key highlights from practical usage include: Python Python is ideal for data processing, especially in Data Science and Machine Learning, supported by a rich ecosystem of libraries. GitHub Copilot suggests relevant commands and reduces

MFEC

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AI Revolution: Uplifting Our Future for a Safer Tomorrow

In an era where artificial intelligence has become a core driver of innovation and operations across various industries, at the event AI Revolution: Uplifting Our Future under the theme “AI Is Your Assistant, Not Your Master: Moving Forward Confidently,”our organization is not only committed to delivering AI solutions to our clients, but also to fostering the responsible and secure use of AI within the organization. We emphasize safety by proactively managing potential risks associated with AI adoption and by establishing thoughtful standards for technology usage. At the same time, we are dedicated to empowering our internal teams with the most advanced tools—particularly by leveraging AI to support developers in working more efficiently, faster, and with greater ease. Key Takeaways from the Presentation Deepfake and Synthetic Voice Cloning Techniques : AI is used to create highly accurate fake images and audio, making it easier to exploit these technologies in cyberattacks to

MFEC

MFEC

Beyond Cost Cutting, The Strategic Power of FinOps

The cloud offers incredible scalability and agility, but it can also lead to unchecked spending. FinOps is a crucial discipline that blends finance, technology, and operations to optimize cloud costs and maximize the business value of cloud investments. It’s about building a culture of cost awareness and accountability.  Why is FinOps Essential?  The cloud’s dynamic nature often leads to:  Overspending: Paying for unused or underutilized resources.  Lack of visibility: Uncertainty about where cloud budgets are going.  Budget surprises: Unpredictable cost spikes.  Siloed teams: Finance and technology working in isolation, causing inefficiencies.  These challenges are universal, as highlighted in the video “3 เหตุผลที่ทุกองค์กรต้องใช้โซลูชัน FinOps ” (3 Reasons Every Organization Needs FinOps), which emphasizes the importance of cost visibility, optimization, and establishing a strong FinOps culture within organizations.  The FinOps Framework: Inform, Optimize, Operate  FinOps follows a continuous cycle:  Inform: Gain visibility into cloud costs and usage through detailed billing data, dashboards,

MFEC

MFEC

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Proud to be MFEC: Looknam, Wasuntara Kantayo, Business Development and Partner Alliance

Hello, I’m Wasuntara Kantayo, or Looknam, currently working at MFEC as a Business Development and Partner Alliance in the Information Security team. This year, I had the opportunity to be part of the Cyber Sec Pro project once again, now in its second year.   Cyber Sec Pro was established by the Information Security (InfoSec) team as a valuable opportunity to showcase advanced solutions and insights in cybersecurity. The event not only helps clients understand potential future threats but also builds their confidence in selecting the best technologies and tools to safeguard their organizational data.  I was honored to be entrusted by Mr. Kokanok (Senior Information Security Director) and Mr. Damrongsak (Chief Cyber Security Officer) with the role of Project Manager for the inaugural Cyber Sec Pro event. My role involved coordinating and managing every aspect of the project to ensure its seamless execution and overall efficiency. I was

MFEC

MFEC

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AI Revolution: Uplifting Our Future – Moving Forward with MFEC

At the AI Revolution: Uplifting Our Future, under the theme “Inside MFEC – Current State and Future Trends,” Mr. Natnaka Sundaranaga (the Head of M-Lab) shared his real-world experiences along with concrete examples of AI implementation within the organization. His presentation showcased the approach to driving AI innovation from within, not merely as a concept or directive, but as a testament to the knowledge, expertise, and tangible efforts of the team’s leading organizational transformation.  Mr. Natnaka highlighted insights from the AI Thailand Conference 2024, detailing MFEC’s structured approach to AI adoption across seven levels. These levels range from foundational understanding to fully embedding AI into every aspect of operations. With most employees equipped to leverage AI in generating complex outcomes, this integration has significantly enhanced both work efficiency and decision-making quality. This tiered framework underscores MFEC’s commitment to developing its people and fostering a learning environment that promotes effective AI

MFEC

MFEC