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MFEC | The Leading Tech Company in Thailand

AI Revolution

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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

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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

MFEC

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