Jisheng Wang
Head of Data Science, Mist Systems

Jisheng Wang is the head of data science at Mist Systems, where he leads the development of Marvis—the first AI-driven self-driving network solution that automates the visibility, troubleshooting, reporting, and maintenance of enterprise networking. He has 10+ years of experience applying state-of-the-art big data and data science technologies to solve challenging enterprise problems including security, networking, and IoT. Previously, he was the senior director of data science in the CTO office of Aruba, a Hewlett-Packard Enterprise company since its acquisition of Niara; as the chief scientist at Niara, he led the overall innovation and development effort in big data infrastructure and data science; he invented the industry’s first modular and data-agonistic User and Entity Behavior Analytics (UEBA) solution, which is widely deployed today among global enterprises; and he was a technical lead in Cisco, responsible for various security products. He earned a PhD in electric engineering from Penn State. Jisheng is a frequent speaker at AI and ML conferences, including Frontier AI, Spark + AI Summit, the O’Reilly Artificial Intelligence Conference, AI DevWorld, and Hadoop Summit.

Sessions

4:00pm–4:40pm Thursday, September 12, 2019

Location: 230 C

Building autonomous network operation using deep learning and AI

Implementing AI

Secondary topics: Deep Learning, Ethics, Security, and Privacy, Machine Learning, Reinforcement Learning, Text, Language, and Speech

Jisheng Wang (Mist Systems)

Increased complexity and business demands continue to make enterprise network operation more challenging. Jisheng Wang outlines the architecture of the first autonomous network operation solution along with two examples of ML-driven automated actions. He also details some of his experiences and the lessons he learned applying ML, DL, and AI to the development of SaaS-based enterprise solutions. Read more.