What problems can traditional energy companies solve by building data centers? How can they assist in the green and low-carbon transformation and development of energy? How can traditional energy companies achieve a deep integration of industrial collaborative scheduling and digital transformation?
Jia Pang, Partner and Managing Director of Frost & Sullivan's Greater China Region, was interviewed by Securities Daily to discuss how traditional energy companies' construction of data centers can assist in the green and low-carbon transformation and development of energy.
Q:What problems can traditional energy companies solve by building data centers? How can they assist in the green and low-carbon transformation and development of energy?
Jia Pang
Partner and Managing Director of Frost & Sullivan's Greater China Region
By building data centers, traditional energy companies can achieve centralized management and storage of data, thereby improving the quality and value of data. The construction of data centers can help companies form a unified digital governance system, ensuring data governance, achieving data sharing, and innovating data applications. This helps to establish a unified data management platform that makes data traceable and supports the digital transformation of enterprises. At the same time, the construction of data centers also provides strong support and foundation for the transformation and upgrading of artificial intelligence and big data.
In addition, with the construction of data centers and the improvement of digital capabilities, it helps to reduce energy consumption and emission intensity, enhance the efficiency of all factors of production, and thus assist in the green and low-carbon transformation and development of energy. Through technological transformation and production process improvement, traditional industries can achieve more efficient production capabilities and promote the green and low-carbon transformation of industrial structures.
Q:How can traditional energy companies achieve a deep integration of industrial collaborative scheduling and digital transformation?
Jia Pang
Partner and Managing Director of Frost & Sullivan's Greater China Region
Firstly, traditional energy companies should strengthen top-level design, improve data standards and management systems for the company and industrial chain, ensuring the systematicness and sustainability of digital transformation. Secondly, establish a unified data management platform to centrally store and precipitate data from various business departments and links for analysis and sharing. Utilize IoT and other technical means to achieve real-time monitoring of equipment and production processes and obtain real-time data. At the same time, use artificial intelligence and big data analysis tools to conduct in-depth analysis of collected data, perform predictive analysis and optimized scheduling, enhance the intelligence level of decision-making, improve production and scheduling efficiency, optimize resource allocation and scheduling. Moreover, build a fully industrial collaborative scheduling platform to promote the circulation and use of data resources as a new type of production factor, break down information barriers between different entities, drive interconnection, interaction, and complementarity among various links of the energy network, and improve the coordinated operation efficiency of upstream and downstream of the industrial chain and between industries. Through these measures, energy companies can achieve a deep integration of industrial collaborative scheduling and digital transformation, thereby enhancing the competitiveness and operational efficiency of enterprises.
*This interview has been published in Securities Daily, authored by Ma Yuwei, with the original title: Power Investment Energy Plans to Invest 127 Million Yuan to Build a Fully Industrial Collaborative Scheduling Command Platform.
