The goal of the event is to showcase real industrial AI deployments with proven business benefits and to explain how machine–human collaboration has helped to optimize industrial processes and innovate new industrial products.
Experienced Cloud Solutions Architect with a demonstrated history of working in the computer software industry. Skilled in Data Warehousing and Business Intelligence, Customer Relationship Management (CRM), IT Service Management, IT Strategy, Business Transformation, and Management. Strong engineering professional with a MSc focused on Renewable Urban Energy Systems from University of Applied Sciences Technikum Wien.
Keyi Sun
Foxconn - Head of Industrial AI; Associate Dean of iAI Institute
With more than 10 years of experience in industrial big data, Keyi Sun is leading Foxconn’s Industrial AI team to systematically develop algorithms for industrial applications. She is Associate Dean of the iAI Institute, which aims to provide skills cultivation and community for industrial big data and AI talents. Keyi Sun graduated from NCSU with a PhD degree in engineering.
Sessions in this Summit
Keynote 1: Industrial AI
User assistance system (UAS) in specialty glass production
Drones to predict faults at wind turbines
AI-driven process monitoring and simulation in additive manufacturing
Overview of physical analytics research with focus on semiconductor manufacturing applications
Panel 1: Technology, project challenges and solutions
Keynote 2: Introduction of Industrial AI with Applications - Systematic Approach
Control Theory meets Artificial Intelligence: Safe AI-driven Industrial Process Control
Dr. Marco Gallieri, Sr. Researcher NNAISENSE
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Continental’s IT infrastructure for AI projects
Enhancing AI across the Intelligent Edge Ecosystem Architecture
Fog AI – Foxconn’s Industrial AI platform
Fireside Chat with Prof. Jay Lee: State of Industrial AI
Keynote 3: smartFactory - Use of AI in Industry 4.0
State of AI in industrial processing – Hype vs. reality and Human-Machine collaboration trends
Industrial Plant of the Future: How Control + AI Technology Improve Operations
How to fast-track your AI projects with state-of-the-art ML services
NVIDIA’s perspective on Industrial AI & Transformative Industrial AI use cases
Panel 3: How to integrate AI projects into your enterprise?