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MFEC | The Leading Tech Company in Thailand

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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

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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

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AI Revolution: Uplifting Our Future – Smart Data Management for Accurate Decision-Making

In an era where vast amounts of data flow in from all directions, high-quality and reliable data management has become a crucial factor in business analysis and decision-making. At the event “AI Revolution: Uplifting Our Future,” under the topic “AI Data Revolution: Basic Cleaning Data,” Mr. Sakan Punyanon (Technical Consultant) shared his insights and experiences in Data Cleaning using Generative AI technology, which improves efficiency and minimizes errors in organizational data management.  Mr. Sakan explained the key steps in organizing and cleaning data, from Data Standardization, Data Validation, to handling repetitive tasks with Generative AI. These components are essential for preparing data for in-depth analysis and more accurate business decision-making. He outlined three fundamental AI-powered steps for effective Data Cleaning that can be practically applied to enhance data quality, making it suitable for detailed analysis and precise decision-making: Data Standardization: Mr. Sakan recommended using OpenAI ChatGPT to standardize data from

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MFEC

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AI Revolution: Uplifting Our Future – From Chatbots to Intelligent Colleagues

From the early days of chatbots to a future where AI evolves into an intelligent assistant and colleague, this seminar, under the theme “Where are we now? What’s Next?”, featured Mr. Wason Liwlompaisan sharing insights into the evolution of AI technology from its origins to the present. He also explored AI’s transformative potential in shaping the future of organizations and society. AI development began in 1966 with Eliza, one of the earliest chatbots created by Joseph Weizenbaum to simulate human conversation. Although it couldn’t truly understand language, Eliza represented a pivotal milestone in human-machine communication. In the late 1960s and 1970s, another significant advancement came with Shakey, the first robot capable of independent thinking and decision-making. Equipped with sensors to analyze its environment and choose its path, Shakey demonstrated AI’s potential for autonomy and logical reasoning. A major milestone that popularized AI occurred in 1997 when IBM’s Deep Blue defeated

MFEC

MFEC

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MFEC Invited to Ai Thailand Conference 2024

‘From Idea to Frontier : MFEC Ready to Elevate Organizations with AI Alongside You’  MFEC was invited to participate in the AI Thailand Conference 2024 to share technical insights on AI, drawing from its expertise, experiences, and various use cases of AI implementation to transform businesses.  The session that MFEC shared today was ‘AI Implementation that work – Successfully AI adoption in your business.’ Attendees had the opportunity to discuss and exchange real-world use cases from the perspectives of business, data, and security, led by experts from MFEC, Venture Lab Company Limited, and Data Café Thailand, regarding how to create and implement AI within organizations effectively and cost-efficiently. The session was led by: Ms. Ratchatawan – Digital Data Excellence Manager, Mr. Thanapong – Information Security Director, Mr. Weerabutr – Strategic Business Development Manager, Ms. Chotima – CEO of Venture Lab, Mr. Tanasak – Managing Director at Data Cafe.  In addition

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MFEC

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DataWise Participates in Seminar on “From Strategy to Execution and Utilizing AI in Data Governance and Management”

DataWise participated in a seminar on the topic “From Strategy to Execution and Utilizing AI in Data Governance and Data Management,” organized by DAMA Thailand-Bangkok.  The seminar encouraged businesses to prioritize AI governance in Thailand and integrate AI across various sectors. It offered insights into applying AI in the medical and banking industries through real-world use cases, allowing attendees to understand the key components for successful data governance projects and AI innovations, which serve as guidelines for effective governance. The seminar also covered Data Management Professional Certification, ISO 8000 standards, and the “soft side” of Organizational Change Management—essential elements for achieving success and ensuring compliance in data governance. Additionally, Mr. Vorapol Santhadkolkarn, Solutions Architect Director (BAC), was invited to speak on “Active Data Governance – From Theory to Practice for Data-Driven Decision.” He presented approaches for implementing Data Governance in organizations to enhance data quality and security. The talk introduced

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MFEC

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DataWise Collaborated with Google Thailand and Confluent to Host “Data in Action”

MFEC, led by DataWise, in collaboration with Google Thailand and Confluent, organized the “Data in Action” event, inviting customers from the “Data in Motion” event to continue the discussion on Real-Time Data with Artificial Intelligence (AI).  The session provided insights into using Confluent and Google Cloud Services for efficient data connectivity and processing, featuring use cases that demonstrated the integration of the Confluent real-time streaming platform to transfer data between various sources and destinations with Google Cloud services, such as BigQuery ML, in building models on Vertex AI for more convenient operations. The DataWise team from MFEC, recognized as the first and only Confluent Professional Global Service team in Thailand, participated in sharing their expertise, allowing attendees to gain practical knowledge that they could apply to their own businesses.

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MFEC

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5 Factors to Consider Before Training Your Own Artificial Intelligence Model

Developing your own Artificial Intelligence (AI) model is a significant step that can enhance an organization’s capabilities and help in competing more effectively in the market. However, before embarking on this process, there are key considerations to carefully evaluate, to ensure that the investment and AI development are worthwhile and meet genuine needs. The Problem to Be Solved AI development should start with a clear identification of the problem to be solved. It is essential to know the purpose of creating the AI model. For instance, existing market models may not sufficiently meet business needs, there might be concerns about data security, or there could be extremely high usage that makes existing services impractical. Analyzing the problem is a crucial step to ensure that the developed AI effectively addresses these issues. Availability of Data Data is the heart of training AI models. If the problem to be solved involves making the model

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MFEC

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DataWise Showcases at Data Analytics Day 2024 Under the Theme “Beyond the Numbers”

DataWise participated in Data Analytics Day 2024 with a booth under the theme “Beyond the Numbers,” exploring deeper insights into data analysis and focusing on both current and future trends in Analytics and AI.  At the event, DataWise presented its End-to-End Solution technology designed for comprehensive data management. This solution covers data ingestion from various sources and in-depth analytics to delivering analyzed results in easy-to-use dashboards or reports, also integrated AI into applications to enhance the customer experience. This entire process was managed by experienced professionals specializing in Data Analytics, Visualization, and Artificial Intelligence (AI), ensuring that customers receive a complete, high-quality, and cost-effective solution.

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MFEC

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MFEC and ServiceNow Co-Host ‘ServiceNow Innovation Summit Bangkok (Put AI to Work for People)’

MFEC and ServiceNow co-hosted the ‘ServiceNow Innovation Summit Bangkok (Put AI to Work for People)’ to showcase solutions that streamline IT services in customer organizations, reduce complexity, and enhance user satisfaction by integrating Generative AI into ServiceNow, while Ms. Piamnatda Guntawong, Solution Consultant Manager at MFEC, spoke as an expert on the solution.  This solution combines ITOM (IT Operations Management), ITSM (IT Service Management), and Generative AI, offering flexibility and adaptability to meet the unique needs of various industries. ITOM (IT Operations Management) involves managing an organization’s IT operations, covering the automated discovery of IT infrastructure and services. It also utilizes AI to aggregate issues and relationships, reducing the time needed to identify root causes and ensuring efficient and continuous IT operations. ITSM (IT Service Management) is the management of IT services that enables organizations to provide services quickly, with high quality, and effectively meet business needs. Integrating AI enhances

MFEC

MFEC