DataOps & DataFabric in the Era of Large Models
In this presentation, Guo Wei, CEO of Baijiang Open Source and seasoned big‑data expert, explores how large‑model AI reshapes DataOps and DataFabric, detailing efficiency gains, intelligent deployment, and future enterprise architectures for big‑data and AI integration.
Guo Wei, CEO of Baijiang Open Source and a prominent figure in China’s open‑source and big‑data communities, holds positions such as member of the China Communications Society Open‑Source Technology Committee, vice‑chair of the China Software Industry Association Intelligent Application Service Branch, and former CTO of Analysys, among others. His extensive experience includes senior roles at Lenovo Research Institute, IBM, Teradata, and leadership in big‑data research and community projects like Presto, Alluxio, and HBase.
The talk titled “DataOps & DataFabric in the Era of Large Models” will address three main topics: (1) how DataOps can improve the efficiency and quality of large‑model training; (2) how large models drive the intelligent implementation of DataFabric; and (3) the future architecture and development model for enterprises combining large models and big data.
Audience members will learn: (1) the impact of the large‑model era on DataOps; (2) which operational processes can be automated with large models and how DataFabric can move from concept to practice; and (3) practical experiences and strategies for using large models to solve DataOps and DataFabric challenges.
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