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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

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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Enhance Professional Customer Service with ServiceNow CSM and Contact Center

In the digital age, where customer needs are at the heart of building strong business-customer relationships, ServiceNow Customer Service Management (CSM) and Contact Center play a crucial role in helping businesses respond to customer demands quickly and accurately, while also enabling teams to manage information effectively. What is ServiceNow CSM?  ServiceNow Customer Service Management, or ServiceNow CSM, is a platform that helps businesses manage customer requests and strengthen relationships through comprehensive services—from service requests and case management to issue resolution. It streamlines customer service processes by providing tools that enhance the efficiency and quality of service delivery.  The Contact Center facilitates the management of customer interactions across various channels, such as phone, email, and chat, ensuring all information is systematically collected and tracked for a more organized and swift service experience.  What Problems Does ServiceNow CSM Solve?  1. Delayed Service  ServiceNow CSM features automatic task assignment to responsible staff,

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Reduce Vulnerabilities and Prevent Attacks with Reasonable Cybersecurity from Infosec

Reasonable Cybersecurity “Free Security Infrastructure Assessment” – Protect your business from start to finish with comprehensive security solutions.  4 Cybersecurity Pain Points Businesses Face:   Budget Constraints  Many businesses face budget limitations, especially when technology evolves rapidly, investing in high-performance security solutions requires significant financial resources, making it difficult for small to medium-sized businesses to allocate sufficient funds for comprehensive protection. Personnel Shortages  A shortage of skilled personnel is a major issue for many organizations. Without enough experienced cybersecurity professionals, it becomes challenging to effectively plan, consult, and address security issues, leading to delays and reduced efficiency in managing security threats The Growing Complexity of Cyber Threats  Cyber threats are evolving rapidly, becoming increasingly sophisticated and harder to detect. This growing complexity poses a major challenge for businesses, demanding constant vigilance and up-to-date tools to effectively protect systems and data from emerging risks. Complexity of System Management  As cybersecurity infrastructure and

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Enhance Your Business Security with the SecOps Solution from ServiceNow

SecOps (Security Operations) from ServiceNow is an approach to managing system and data security within an organization, focusing on threat detection to provide visibility into cybersecurity risks and reduce vulnerabilities in the system. It also enables you to prioritize issues or risks effectively. Professional Collaboration between Business Service Management (BSM) and Information Security (Infosec)  BSM, experts in IT operations with experience in using tools or software, has collaborated with Infosec, specialists in security with experience in security tools.  The result is a more comprehensive threat protection system. This enables efficient and responsive implementation of security operations, addressing issues quickly while enhancing business opportunities. It also elevates system security beyond previous levels. Which Problems Can SecOps Solutions Help?  Threat Detection: Enables businesses to identify and respond to threats quickly, preventing damage and reducing potential risks to the system. Prioritization of Issues: Helps in identifying and prioritizing the most critical

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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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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 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

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