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MFEC | The Leading Tech Company in Thailand

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Unlock Business Sustainability with Digital Sustainability Solution

Digital Sustainability Solution is a comprehensive sustainability service with certified consulting and auditing partners that meet international standards, utilizing digital tools to help you strategize and create perfect sustainability reports. Digital Sustainability Solution consists of 3 services:  1.Data Discovery: A comprehensive sustainability solution for sustainability, partnered with consulting and auditing firms that are certified to meet international standards, utilizing digital tools to help you in planning strategies and creating sustainability reports with precision and effectiveness.  2.Sustainability Platform: A platform which can assist with the calculations and reporting according to various standards such as TGO, ISO 14064-1, GRI, TCFD, IFRS, and SASB. 3.Data Visualization: A tool that analyzes and visualizes sustainability data to provide business insights, enabling businesses to make informed decisions in planning investments and operations aligned with sustainability policies. How Can Businesses Overcome Challenges with the Digital Sustainability Solution?  Managing Complex Data: Reduces manual processes and simplifies data management

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MFEC

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5 Factors to Consider Before Training Your Own Artificial Intelligence Model

Developing your own Artificial Intelligence (AI) model is a significant step that can enhance an organization’s capabilities and help in competing more effectively in the market. However, before embarking on this process, there are key considerations to carefully evaluate, to ensure that the investment and AI development are worthwhile and meet genuine needs. The Problem to Be Solved AI development should start with a clear identification of the problem to be solved. It is essential to know the purpose of creating the AI model. For instance, existing market models may not sufficiently meet business needs, there might be concerns about data security, or there could be extremely high usage that makes existing services impractical. Analyzing the problem is a crucial step to ensure that the developed AI effectively addresses these issues. Availability of Data Data is the heart of training AI models. If the problem to be solved involves making the model

MFEC

MFEC

Confluent Kafka Real-time data monitoring use case

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 monitoring use case In the current era, there’s a growing preference for online shopping, necessitating stores to access real-time data for

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MFEC

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MFEC Public Company Limited Launches CrowdAbout

CrowdAbout: A consulting firm under MFEC’s investment.   MFEC Public Company Limited has launched CrowdAbout, a business consulting firm with a consumer-centric approach, aiming to strengthen the potential of Thai businesses. CrowdAbout focuses on deeply understanding consumers (Customer Insight) and analyzing their behaviors to offer actionable insights that clients can use to drive tangible results for their businesses. From day one, the importance of consumers has been central to CrowdAbout’s operations, ensuring that clients receive strategies tailored to align with the ever-changing market and consumer dynamics of today. For more information: https://crowdabout.io/ Read the full article at: https://www.bangkokbiznews.com/pr-news/news/prnews/1128134

MFEC

MFEC

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Incident Response – Detecting and Analyzing Threats Through Malicious Behavior

One of the challenges in responding to cyber threats is monitoring and responding to attacks that continuously evolve in their methods and techniques. Relying solely on signature-based detection, which identifies specific characteristics of attack patterns, may not be sufficient. It’s necessary to also incorporate anomaly detection or abnormal behavior analysis for more comprehensive coverage. Although there are tools available today to assist in detecting such incidents, the ability of analysts to understand how these tools work or to identify abnormalities that the tools might miss can greatly enhance the accuracy of threat response. The incident response process, as recommended by NIST SP 800-61r2, is divided into four steps. This article focuses on step 2, Detection and Analysis. The aim is to help those involved in threat analysis understand how to detect and analyze malicious behavior. Key points from two documents—Technical Approaches to Uncovering and Remediating Malicious Activity and Federal Government

MFEC

MFEC

Cisco Enterprise Agreement (EA): A Tool to Help Your Business Move Toward an Efficient Future

หนึ่งในเทคโนโลยีที่สามารถเข้ามาช่วยเหลือในด้านนี้ได้คือการใช้ AI ที่มีความสามารถในการวิเคราะห์ละคาดการณ์ ไปจนถึง Generative AI ที่สามารถคิดสร้างสรรค์ได้ ให้มาช่วยวิเคราะห์การดำเนินธุรกิจให้มีความยั่งยืนและสอดคล้องกับหลักการ ESG มากขึ้น ต่อไปนี้คือตัวอย่างภาคส่วนที่ AI สามารถเข้ามาช่วยเหลือให้ยั่งยืนขึ้นได้

MFEC

MFEC