📋 Tender Overview
Vietnams energy industry is facing the time of the hinge to convert, where the current is not only from the physical grid, but also through the power of data management and artificial intelligence (AI). Data administration and AI become the focus in all operating decisions. From the global energy crisis to the internal pressure on green growth and operating efficiency, the energy industry is adapting to unprecedented conversion speed. Data administration and AI become the focus in all operating decisions. Data becomes a strategic asset in a digital era, data is the core factor, like the second current to support the factory. Every day, power plants, monitoring centers, transmission stations generate millions of data lines from sensors, cameras, monitoring control systems and data collection ... The processing, storage and proper exploitation of this data source will determine the operating performance and forecast capacity in the entire supply chain.However, in fact, many businesses and factories are still facing the knots in the system of discrete data, not connected to the system of data management, the system is not connected to the system of data management, the system is not connected to the system of data management, the system is not connected in the system of the data management, the data is not connected in the system of the system, the data is not connected, the data is not connected in the system of the system, the data is not connected in the system of the system, the data is not connected in the system of the data, the data is not connected in the system of the data. The circuit to form a multi -dimensional picture on production and business activities. This is not only a big barrier in the process of digital transformation, but also reduces the efficiency of governance, hinder the decision -making speed and limit the long -term competitiveness. The fragmentation system is the congestion of digital conversion. Most businesses are still operating on many single systems. Data dispersed and lack of overall planning, causing great difficulties in management and synchronization. The use of data from multiple heterogeneous sources from software systems, hand enter, to separate tracking files. At the same time, the inconsistency in the indicators and calculations as well as the in -depth data exploitation tool also makes the evaluation and measurement report becomes lacking in reliability, reducing the effectiveness of the executive decisions. In particular, many businesses only focus on digitizing the process but not actually investing in data. As a result, there is a lot of non -structured data in the form of attachments, causing waste of storage resources and it is difficult to effectively exploit. Treatment and development, and at the same time develop clear data strategies, from determining system architecture, standardizing data structure, to implementing appropriate technology and tools for data to really become the number heart of the business. Experimental construction of data strategy on July 23, 20:52 22:52 07/07/2025 00:27 02/07/2025 17:54 01/07/2025 04/06/02 Along with the energy enterprises, Mr. Nguyen Chi Linh, representative of Viettel Business Solution Corporation (Viettel Solutions) shared the approach to the 5 core questions to help businesses determine the data strategy, including: Determining the existing data assets; Understand data demand for business and administration; Managing and storing key data effectively; Ensuring data true - enough - clean - live; build multi -dimensional reports, accurate and comprehensive forecasting support.With complicated operating characteristics and monitoring requirements in real time, energy industry enterprises need to approach data management methodically, according to data management framework such as key arrays: Safety and quality of data, super data management, hosting, modeling, construction and operation of an analysis. Data ecology is uniform, effective support for both operating and making strategic decisions. Especially, businesses need to clearly identify the data strategy before investing in technology. When the data is ready, AI becomes a lever to help the energy industry operate smart. Reality. Thanks to that, the system can detect abnormal signs before the incident, automatically adjust the maintenance schedule to reduce the time to stop and optimize the operating costs.Regenerative and operate the technical chatbot system in the factory. These AI models are trained and operated through AI Studio, the basis of integrating tools such as Jupyter Notebook, deduction from AI (API), central archive ... Help businesses deploy AI from testing to real products without investing in private infrastructure. The true value is only created when data, AI, IoT and computing infrastructure are connected into a unified ecosystem - capable of expanding according to needs and ensuring sovereignty in operation. Currently, Viettel Solutions owns a platform of a make in Vietnam ecosystem, designed specifically for Vietnamese enterprises. This ecosystem allows the implementation of the entire AI life cycle right on the domestic cloud infrastructure, from the flexible GPU-AS-A-Service service, to the Kubernetes coordination platform (VKE), and AI Studio for development, training and modeling. Businesses can easily put AI models into practice without investing in physical infrastructure, while ensuring speed, security and smooth integration with existing operating systems such as EMS, HMI ... In the journey to convert the energy industry, the combination of data and AI not only help Vietnamese businesses optimize operation, but also give initiative to shape the future of technology.
