Event Update

Zhou Jingsen, a professor and PhD at the School of Software Technology of Zhejiang University, has confirmed his participation in AICon Shenzhen, where he will discuss performance engineering in the age of artificial intelligence.

What the Topic Means

As AI systems move from demos to production, performance is becoming a board-level engineering concern. Performance engineering refers to the practices used to keep software fast, stable and cost-efficient, including architecture design, load testing, monitoring and tuning.

AI applications add new complexity to this discipline. Model inference can consume significant computing resources, data pipelines may become longer, and latency can directly affect user experience. For developers and engineering managers, the question is no longer just whether an AI feature works, but whether it can run reliably at scale and at an acceptable cost. Zhou’s session is expected to bring an academic and engineering perspective to these practical challenges.

Industry View

As AI adoption matures, the next differentiator will be execution: robust performance engineering will decide which AI systems can survive real-world traffic.