Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on AI Large Model Application Based on Deep Data Governance

LI Jun

(Sinopec Marketing Guangdong Company, Guangzhou 510620, China)

Section：Artificial Intelligence · Vol. 2026, Issue 6 · Pages：40-45 · 2096-4706（2026）06-0040-06 · CLC number：TP183 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.06.009

Abstract

To explore the intelligent application of AI Large Model technology with Deep Learning as the core in the oil product sales field and promote the digital and intelligent transformation and upgrading of enterprises, this study bases on the current application status of the DeepSeek Large Model in the petroleum and petrochemical industry, leverages the previous data governance achievements of Guangdong Petroleum, and builds the AI middle-end platform of Guangdong Petroleum. It carries out the exploration of large model scenario application around the dual paths of “AI+Scenario” and “Scenario+AI”. By analyzing actual business requirements, this study innovatively designs the implementation schemes for the landing of five types of AI Agent, and focuses on realizing the intelligent application of typical scenarios including AI marketing assistant, AI operation and maintenance assistant, and AI customer preferential inquiry. Practical application results show that this platform significantly improves the digital and intelligent operation efficiency of enterprises, and has broad application prospects and promotion value.

Keywords

AI Large Model; data governance; AI middle-end platform; AI Agent

References

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About the authors

Li Jun (1981-), male, Han ethnicity, born in Taizhou, Jiangsu, is a senior engineer and a master's student. His research interests include big data technology and artificial intelligence technology.