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DeepSeek and Huawei Collaborate to Develop Advanced AI and Cloud Technologies

Huawei, a global technology giant and DeepSeek, a leader in artificial intelligence (AI) and data analytics, have teamed up to develop cutting-edge technological solutions. The collaboration focuses on leveraging AI, Big Data Analytics,, and Cloud Computing to create innovations that meet the demands of businesses and society in the digital age.  The partnership combines the strengths of both companies to develop advanced and high-performance technologies. The primary focus is on creating solutions in three main areas: 1. Artificial Intelligence (AI) and Machine Learning  DeepSeek and Huawei will develop AI models capable of fast and accurate data processing, along with automated learning systems to enhance operational efficiency. These technologies will be applied across industries such as healthcare, finance, and manufacturing. 2. Big Data Analytics  The collaboration will create tools to analyze massive datasets in real-time and develop predictive analytics systems to support accurate decision-making. These solutions will help organizations improve efficiency

MFEC

MFEC

MFEC and Google Cloud Partner to Revolutionize Thai Enterprises with Agentic AI and Enhanced Data Accessibility

Experience the cutting-edge with Agentic AI and intelligent data access tools that will transform your business to outpace the competition! In today’s fast-paced digital landscape, Thai enterprises are constantly seeking innovative solutions to enhance productivity, streamline workflows, and unlock the full potential of their data. Recognizing this need, MFEC, a leading technology solutions provider in Thailand, is partnering with Google Cloud to host a series of showcasing the transformative power of Agentic AI and Google’s cutting-edge data accessibility tools, including Google Agentspace and NotebookLM Plus. These events aim to empower businesses with the knowledge and tools to navigate the complexities of modern data management and leverage AI for strategic growth. Problem Statement:  Many Thai organizations struggle with fragmented data silos, making it difficult for employees to access and utilize critical information effectively. This leads to inefficiencies, delayed decision-making, and missed opportunities. Furthermore, the increasing volume and complexity of data necessitate

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Securing an AI-First Future with Palo Alto Networks

The rise of AI-driven cyber threats has transformed the cybersecurity landscape, making attacks more sophisticated, evasive, and challenging to detect. Threat actors are leveraging AI to automate attacks, bypass traditional defenses, and exploit vulnerabilities at an unprecedented scale. To stay ahead, organizations in Thailand must adopt AI-powered cybersecurity solutions that provide proactive, automated protection against evolving threats. Palo Alto Networks: AI-Driven Cybersecurity for the Modern Enterprise  At Palo Alto Networks, we are pioneering AI-driven security to help businesses in Thailand secure their digital future. Our industry-leading Cortex XSIAM platform harnesses the power of AI and automation to deliver:  ✅ Real-Time Threat Detection & Response – AI-driven analytics continuously monitor and detect anomalies, preventing breaches before they occur. ✅ Automated SOC Transformation – Streamlining security operations by reducing alert fatigue and enhancing incident response through AI-driven automation. ✅ Adaptive AI Models – Continuously learning and evolving to stay ahead of emerging threats.  Why

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Transforming Sustainability Reporting Challenges with AI and Digital Sustainability

In an era where the world and businesses are increasingly moving toward sustainability, Sustainability Reporting has become a critical foundation that enables organizations to demonstrate their social and environmental responsibility in a transparent and professional manner. This article introduces the concept of Sustainability Reporting, highlights common challenges organizations face, and shares insights on how Digital Sustainability combined with AI can help reduce workload and significantly improve reporting efficiency—through solutions designed by AI experts in collaboration with sustainability professionals who help define standards and validate data quality.  What Is Sustainability Reporting and Why Does It Matter?  Sustainability Reporting is the process of compiling sustainability-related data from all departments within an organization—ranging from finance and marketing to engineering and operations. The main objective is to evaluate the organization’s impact and performance across the three core pillars of ESG (Environmental, Social, and Governance). Benefits of Sustainability Reporting  Enhanced transparency: Builds credibility and trust among stakeholders  Better decision-making: Provides valuable insights for strategic

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Data & AI: How Two Technologies from MFEC Can Empower Your Business

The Relationship Between Data and AI  Skilled professionals play a crucial role in developing effective Data and AI solutions. Selecting the right platforms and software is essential to ensure worthwhile investment returns and to maximize value for organizations.  Data and AI work together seamlessly. Data serves as the fundamental foundation that AI uses for learning, analysis, and prediction to deliver accurate outcomes. Meanwhile, AI enhances the value of data by transforming raw data into insights, uncovering hidden patterns, and enabling more effective decision-making. AI development operates in a continuous cycle, as AI models can improve themselves with new data, making systems increasingly accurate and intelligent. “AI requires large volumes of high-quality data to learn and analyze accurately, while data needs the intelligence of AI to fully extract value from massive datasets.”  What Is Data Quality and Why Is It Important?  High-quality data enables businesses to compete effectively, deliver

MFEC

MFEC

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Business solution consultant service & Low code platform

In 2025, when discussing the rapidly growing trend of Artificial Intelligence (AI), it is impossible to overlook Agentic AI—a technology that has gained significant attention since late 2024. Both now and in the future, Agentic AI will play a critical role in deep operational work, decision-making, and adapting to the increasing complexity of today’s fast-changing business landscape. We invite you to explore Agentic AI and discover how MFEC’s professional consulting services empower organizations to achieve success in the digital era. What Is Agentic AI?  Agentic AI refers to artificial intelligence that operates autonomously, similar to a virtual assistant. It can think, analyze, make decisions, and learn independently to achieve specific goals—without requiring constant human guidance.  Today, enterprise IT systems face multiple challenges, including: Limitations of legacy systems Complexity in system maintenance High operational costs Products reaching End-of-Life (EOL) As a result, system transformation and optimization have

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Connecting Manufacturing and Retail Through the Power of AI

In an era of rapid technological advancement, Artificial Intelligence (AI) has emerged as a key driving force in transforming industries—particularly manufacturing, distribution, and retail. According to research by McKinsey, AI has the potential to significantly reduce production costs and greatly enhance operational efficiency. Businesses that integrate AI into their workflows are able to achieve higher profitability while responding more quickly to customer needs and rapidly changing market demands. This article explores how AI plays a critical role in connecting and optimizing the supply chain across manufacturing, distribution, and retail industries, as well as how businesses can leverage AI to improve efficiency, reduce costs, and sustainably enhance customer experience. Understanding the Two Industries  Manufacturing & Distribution This sector involves producing goods from raw materials through to finished products, as well as the movement of goods from manufacturers to markets or end consumers.  Retail Retail focuses on distributing products from retailers to consumers, serving

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AI-Lab: Transforming Organizations for the Future

Why Organizations Need to Develop Their Own AI  Today, artificial intelligence (AI) models such as ChatGPT, Gemini, and Claude play a significant role in enhancing organizational capabilities and operational efficiency across all industries, while also creating new business opportunities. However, adopting AI within an organization requires careful consideration of several factors, including specific use cases, cost, data security, and technology suitability. As a result, many organizations choose to develop their own AI solutions tailored to their unique needs. The level of AI development can vary, with costs depending on requirements. For example, some organizations have strict data security policies that prevent data from leaving a controlled environment; others require AI systems that integrate seamlessly with internal platforms; while some face high usage volumes that make pay-per-use cloud AI services costly. Organizations can begin developing their own AI by setting clear objectives, starting with specific use cases—such

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AI Revolution: Uplifting Our Future – Unlocking the Power of AI-Driven Coding

We are committed to empowering our internal teams with the most advanced tools, such as GitHub Copilot, through the session “AI Revolution: Uplifting Our Future” under the topic “AI-Driven Coding Mastery: Unlock GitHub Copilot’s Power.” This initiative brings AI into the development process to help developers work more efficiently, faster, and with greater ease. The session was led by Mr. Thongrit Thongthom (Full Stack Developer) and Mr. Prapawit Duangkaewsansuk (Technical Consultant), who actively tested and applied GitHub Copilot across multiple programming languages. They shared hands-on experiences to demonstrate the real-world benefits and capabilities of using AI in enterprise-level software development.  AI-Powered Coding Across Multiple Languages: The Versatility of GitHub Copilot  GitHub Copilot is an intelligent coding assistant that supports a wide range of programming languages, allowing developers to choose the most suitable language for each project. Key highlights from practical usage include: Python Python is ideal for data processing, especially in Data Science and Machine Learning, supported by a rich ecosystem of libraries. GitHub Copilot suggests relevant commands and reduces

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AI Revolution: Uplifting Our Future for a Safer Tomorrow

In an era where artificial intelligence has become a core driver of innovation and operations across various industries, at the event AI Revolution: Uplifting Our Future under the theme “AI Is Your Assistant, Not Your Master: Moving Forward Confidently,”our organization is not only committed to delivering AI solutions to our clients, but also to fostering the responsible and secure use of AI within the organization. We emphasize safety by proactively managing potential risks associated with AI adoption and by establishing thoughtful standards for technology usage. At the same time, we are dedicated to empowering our internal teams with the most advanced tools—particularly by leveraging AI to support developers in working more efficiently, faster, and with greater ease. Key Takeaways from the Presentation Deepfake and Synthetic Voice Cloning Techniques : AI is used to create highly accurate fake images and audio, making it easier to exploit these technologies in cyberattacks to

MFEC

MFEC