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MFEC | The Leading Tech Company in Thailand

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

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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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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

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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

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

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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

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MFEC Invited to Speak on “Sustainability: The Landscape of Sustainable Development and ESG, and Future Opportunities in the Engineering Profession”

MFEC, led by Chaidit Sittisunthornwat (Park), Digital Sustainability Specialist, was invited to speak at Chulalongkorn University on the topic “Sustainability: The Landscape of Sustainable Development and ESG, and Future Opportunities in the Engineering Profession.” The goal was to impart perspectives and understanding of sustainability and ESG to engineering students. In this session, Park discussed the fundamental principles of “Sustainability” and “ESG,” two essential concepts that foster organizational sustainability and promote sustainable growth for society. He highlighted the contrasting views of Inside-Out and Outside-In approaches. Sustainability involves a company considering its impact from the inside out (Inside-Out), meaning it undertakes activities to achieve business goals while also considering the impact on the environment and society beyond the organization, such as reducing energy usage or minimizing waste from production processes. On the other hand, ESG (Environmental, Social, and Governance) reflects the Outside-In perspective, where investors and stakeholders evaluate the organization based on

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. 

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MFEC

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Is It Really Time for Businesses to Invest in Handling Climate Change?

When discussing climate change from a business perspective, we can’t avoid asking the question: “Is it time to invest in addressing climate change?” “Is our business part of the group that should act now?” “If so, how much budget should we allocate and what should we invest in?” “When should we invest in digital tools to help with this?” Climate change is no longer just about weather-related issues such as rising temperatures, more frequent and severe natural disasters, or simply a “negative impact on the environment.” It has become a major factor that is increasingly affecting businesses across all industries. This is due to the growing enforcement of regulations both in Thailand and in key partner countries worldwide to drive environmental responsibility. There is also rising consumer demand for sustainable products. Additionally, the risks of natural disasters affecting business operations are pushing industries to seriously plan and prepare to address

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MFEC Invited to Join Cisco FSI Summit 2024

MFEC had been invited to participate in the Cisco FSI Summit 2024, an exclusive event for executive customers in the Financial Services Industry (FSI) business. The summit focused on fostering business opportunities, building strategic networks, and showcasing cutting-edge technologies from Cisco and its partners. At the MFEC booth, we highlighted two leading technologies: 1. ThousandEyes: An end-to-end network performance monitoring and analytics solution that tracks the performance of both on-premises and on-cloud networks and applications. It significantly reduces troubleshooting time and supports a wide range of monitoring deployments. This solution is ideal for network administrators and organizations with multiple branches seeking efficient network issue detection and analysis. 2. Catalyst Center: A network management solution that enables network administrators to quickly and efficiently manage their network systems. It features capacity and performance monitoring for network devices, with AI-driven problem analysis and real-time alerts offering immediate recommendations for troubleshooting. This solution

MFEC

MFEC