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MFEC | The Leading Tech Company in Thailand

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Betagro Enhances Organizational Network Efficiency with Cisco ThousandEyes

Betagro Public Company Limited (“BTG”) is Thailand’s leading integrated food company dedicated to enriching people’s lives with better food. Betagro’s business encompasses the production and distribution of animal feed, animal pharmaceuticals and supplements, livestock, pork products, chicken meat, eggs, fish, and processed food for domestic consumption and export to more than 20 countries worldwide. Betagro is also active in pet food, the distribution of farm equipment, and investment in neighboring countries, including Cambodia, Laos, Myanmar, and Singapore. Operating multiple branches and utilizing both on-premises and cloud-based applications from various locations, maintaining effective communication and connectivity between branches becomes a critical challenge. Any instability in the internal network can disrupt team collaboration and hinder the performance of essential applications, potentially impacting overall organizational efficiency. Recognizing these challenges, Amnat Piyathammarat, Specialist Infrastructure Network and Cloud at Betagro Public Company Limited, sought a solution to enhance network performance monitoring, diagnostics, and analysis. The

MFEC

MFEC

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MFEC Signs MOU with Huawei Cloud to Drive Technological Advancement in Thai   

MFEC has entered a landmark Memorandum of Understanding (MoU) with Huawei Cloud, marking a transformative partnership aimed at advancing technological innovation across key sectors in Thailand. This collaboration targets industries such as financial services, government, healthcare, carrier services, and insurance, focusing on cloud infrastructure, migration, big data, and AI to optimize operations and deliver cutting-edge solutions.   Beyond the cloud, the MoU extends into the Enterprise Business Group (EBG), covering banking, energy, government, and commercial sectors. Key areas of cooperation include Huawei’s advanced technologies, storage solutions, network infrastructure, and intelligent collaboration tools, ensuring mutual growth and equality in fostering market-driven solutions tailored to Thailand’s unique needs.   Combining MFEC’s deep understanding of the local market with Huawei Cloud’s cutting-edge technology, this partnership seeks to deliver solutions that boost efficiency, leverage data for growth, and enhance global competitiveness. Huawei Cloud’s secure and reliable infrastructure will strengthen MFEC’s services, benefiting Thai businesses and extending

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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

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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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Pure Storage: Reduces Storage Space, Reduces Energy Consumption, and Enhances Processing Speed

As the Climate Change crisis intensifies, the Earth’s temperature continues to rise, and natural patterns shift with no signs of improvement. These changes directly impact the environment and present challenges across all sectors, including IT infrastructure. Imagine you work for a large organization that handles enormous amounts of data, which continues to grow each day. The complexity of the data storage systems often leads to dependence on numerous data centers, each consuming significant amounts of energy and emitting concerning levels of carbon footprints. Slow data processing and the overuse of resources highlight inefficiencies while also increasing environmental impact. As organizations become more aware of their data center footprint, carbon emissions, and power consumption, it directly affects their future ESG goals. What is Pure Storage?  Pure Storage is a modern and efficient data storage solution that helps improve processing speed, simplify management, and reduce energy consumption. It’s suitable for organizations that

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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

MFEC, Led by DataWise, and Confluent Hosted ‘How to Build Trustworthy Data Platforms and High-Quality Data Products’

MFEC, led by DataWise, and Confluent recently hosted an event ‘How to Build Trustworthy Data Platforms and High-Quality Data Products’ to showcase Confluent’s Shift Left approach, which enhances the efficiency of Data Warehouses and Data Lakes.  At this event, MFEC addressed user challenges through the features that provide trustworthy data for Data Warehouses and Data Lakes, optimize costs for real-time data processing, and enhance productivity for Data Engineering teams, Shift Left empowers businesses to manage data smoothly and efficiently, meeting the demands of a rapidly evolving data landscape. Shift Left offers seamless integration with data sources and targets (Data Warehouses and Data Lakes), along with real-time streaming data platform and real-time data processing, which can effectively answer key user questions: What is shift left? and What does shift left do with data warehouse and data lakes? Will Shift left replace data warehouse and data lakes? How Confluent’s “Shift Left” approach

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MFEC

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MFEC Enhances CSOC for Banks with AI/ML and Splunk Integration

With the rapid growth of cyber threats, malicious actors are increasingly using AI technologies to launch attacks, making threats more complex and harder to combat. Organizations must prioritize enhancing their cybersecurity systems to protect data and user privacy from continuously evolving attacks. MFEC’s Infosec team recognizes the critical role of AI in addressing these threats and has collaborated with Splunk and banking clients to test the integration of Splunk SIEM with AI/ML capabilities through the Splunk DSDL (Data Science and Deep Learning) application What’s Splunk DSDL ?   Splunk DSDL is an application from Splunk installed on Splunk SIEM, designed to connect with AI/ML systems set up on containers such as Kubernetes or Docker. The integration between Splunk DSDL and the user’s AI/ML systems enables a variety of functionalities, including data exchange for threat detection based on existing models, sending data to train new AI models, or even refining AI models

MFEC

MFEC

MFEC, Collaborated with Confluent and Google Cloud, Hosted ‘Accelerating Business Growth with Cloud-Native Data Streaming and AI’

MFEC, led by DataWise in collaboration with Confluent and Google Cloud, recently hosted the event ‘Accelerating Business Growth with Cloud-Native Data Streaming and AI.’ The event showcased innovative solutions designed to support businesses aiming for exponential growth and unlocking future growth opportunities.  In this event, MFEC presented Cloud-Native Data Streaming, highlighting its role in creating a reliable real-time streaming platform, performing data processing on Google Cloud, and featuring data pipeline designs tailored to meet the specific needs of clients across various industries to ensure optimal efficiency. Key features of the Cloud-Native Data Streaming solution include: – Integration with data source and target (GCP Service)   – Real-time streaming data platform   – Real-time data processing  With MFEC’s strength as a Premium Partner with Confluent and certified to deliver Confluent Professional Global Services, along with the expertise of the DataWise team, we offer end-to-end support from data integration to analytics and visualization. Our team

MFEC

MFEC