Artificial Intelligence Conference San Francisco 110/114

Artificial Intelligence Conference San Francisco 110/114


Jisheng Wang
Senior Director of Data Science, Aruba, a Hewlett Packard Enterprise company

Jisheng Wang is senior director of data science at Aruba, a Hewlett Packard Enterprise company, where he leads the overall effort of applying data science into different enterprise network areas. Jisheng has over 12 years of extensive research and professional experience in applying state-of-art big data and data science technologies to solve challenging security problems. Previously, he was the chief scientist at Niara, where he led the overall innovation and development effort in big data infrastructure and data science, and was a technical lead for various security products at Cisco. Jisheng has published articles in top-tier publications and holds a number of patents, including one for a industry-first modular and data-agonistic UEBA solution. He holds a PhD in electrical engineering from Penn State University and an MS and BS in electrical engineering from Shanghai Jiao Tong University.

Sessions

4:50pm–5:30pm Tuesday, September 19, 2017
Deep learning in enterprise IoT: Use cases and challenges
Verticals and applications
Location: Imperial A
Level: Intermediate
Secondary topics:  Deep learning, IoT (including smart cities, manufacturing, smart homes/buildings)
Jisheng Wang (Aruba, a Hewlett Packard Enterprise company)
Recently, both deep learning and the IoT have attracted tremendous attention. Jisheng Wang shares firsthand experience in applying deep learning to solving some real-world enterprise IoT problems (e.g., IoT device identification and IoT security) and outlines some challenges for deep learning in enterprise applications, along with suggestions to overcome them.