Introduction
This is Abe from the Lakehouse Department of the GLB Division. I wrote an article summarizing the content of the session based on the report by Ichimura who participated in Data + AI SUMMIT2023 (DAIS) on site.
This time, we're highlighting the talk "Experience the New Era of Data & AI: Taking Bold Steps," where energy company Petronas introduces how it leverages data AI solutions to improve business performance.
This blog consists of two parts, and this time we will deliver the second part.
This is part 1 of the article.
In Part 1, Petronas introduced its approach to sustainability, and its efforts to optimize energy consumption, improve power grid efficiency, and promote renewable energy using data and AI solutions. In Part 2, we will discuss challenges in data utilization, efforts to address them, and efforts to democratize data.
Data Utilization Issues and Efforts
In the lecture, he explained that there are the following issues in data utilization.
1. Limitations on data transparency and accessibility
2. Lack of data rules and job definitions
3. Lack of skill set
4. The need for cultural change
Addressing these challenges requires a company-wide effort, and utilizing data AI solutions is said to lead to improved business performance.
Improving data transparency and accessibility
Limitations on data transparency and accessibility are major barriers to corporate data utilization. In order to deal with this, it is important to introduce a system that streamlines the management and sharing of data and to clarify the rules for data usage.
Maintenance of data rules and job definitions
If data rules and job definitions are lacking, the effectiveness of data utilization will not be fully demonstrated. In order to solve this, it is necessary to clarify the purpose and role of data, and define rules and jobs based on that.
Addressing Skill Set Shortages
If the skill set necessary for data utilization is lacking, companies need to work on human resource development and securing human resources from outside. It is also important to improve internal skills by holding training and study sessions on data utilization.
Driving cultural change
A change in corporate culture is essential for successful data utilization. Strong leadership from top management is required to build a culture in which the use of data is taken for granted. It is also important to share success stories related to data utilization to improve employee motivation.
Efforts to Democratize Data
The lecture introduced Petronas' efforts to democratize data. It aims to ensure data governance, data literacy, and alignment between business and enterprise goals. It also revealed that it is working toward data liberalization by creating autonomous teams that integrate the roles of business and technology teams.
Ensuring data governance and data literacy
Petronas is committed to data governance and data literacy to democratize data. Data governance is an organization-wide effort to ensure the quality, integrity and security of data. Data literacy is the ability to understand and utilize data, and improving this will improve the ability to utilize data throughout the organization.
Alignment of business and enterprise goals
Alignment of business and enterprise goals is critical to the democratization of data. At Petronas, business and technology teams work together to maximize the impact of data utilization by working toward common goals.
Create an autonomous team
Petronas is moving toward data liberalization by creating autonomous teams that integrate the roles of business and technology teams. Autonomous teams are teams that can work toward their goals independently, increasing the speed of data utilization and increasing efficiency across the organization.
About the latest concepts, features and services
The talks also touched on the latest concepts, features and services. By utilizing these, it is possible to further promote the democratization of data.
Summary
In this lecture, challenges in data utilization, efforts to address them, and efforts to democratize data were introduced. Through these efforts, companies are leveraging data AI solutions to improve business performance. As a company with a high degree of responsibility for sustainability, Petronas is expected to continue its work towards the democratization of data.
Conclusion
This content based on reports from members on site participating in DAIS sessions. During the DAIS period, articles related to the sessions will be posted on the special site below, so please take a look.
Translated by Johann
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