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MFEC | The Leading Tech Company in Thailand

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MFEC Public Company Limited has been promoted to Elite Partner (Reseller) of ServiceNow

MFEC Achieves Elite Partner Status with ServiceNow, the highest partner level of ServiceNow. This recognition highlights MFEC’s expertise in consulting, designing, and delivering ServiceNow solutions to organizations in Thailand efficiently, maximizing the full potential of ServiceNow. Driven by dedication and commitment, MFEC’s team has undergone rigorous training and certification in various areas from ServiceNow. As an Elite Partner (Reseller), MFEC continues to drive innovation and empower businesses in Thailand with cutting-edge ServiceNow solutions. MFEC aims to expand its market reach and form partnerships with leading organizations across diverse industries, helping them adapt to future technological changes. The collaboration between MFEC and ServiceNow will benefit organizations in Thailand by enhancing operational efficiency through ServiceNow solutions that cater to various work processes. The integration of Workflow solutions will streamline organizational collaboration, improve work processes, and drive digital transformation, supported by experts from initial consultation through post-implementation care. Looking to optimize workflows for

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

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

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 Data Storage Platform?  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

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

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

Reduce Costs and Development Time with ServiceNow App Engine

In an era where fast and efficient application development is required, ServiceNow App Engine offers a Low Code solution that meets these demands. It helps reduce both time and budget costs for organizations by enabling development teams to quickly and cost-effectively build applications tailored to specific business needs. What is ServiceNow App Engine?    ServiceNow App Engine is a Low Code application development solution on the ServiceNow platform. While ServiceNow provides pre-built applications for specialized areas like IT Service Management (ITSM) and Customer Service Management (CSM), many organizations require further customized solutions. App Engine enables flexible and efficient application development tailored to meet the unique operational needs of each organization. ServiceNow App Engine leverages AI to elevate business operations By utilizing AI, ServiceNow App Engine allows for rapid application development and coding. This enables organizations to quickly respond to the rapidly changing digital market, ensuring the ability to compete efficiently. 

MFEC

MFEC