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.
Asha is a researcher focusing on the area of Computer-Vision related problems at NNAISENSE. Born and raised in the Silicon Valley, he obtained his undergraduate education at UC Berkeley (Electrical Eng. and Computer Sci.) and his graduate degree at the ETH Zürich.
Florian Trifterer
Senior Researcher at NNAISENSE
Florian has studied statistics and machine learning at LMU/TU Munich. He has over 15 years of experience in solving complex real-world problems in various domains using Machine Learning. He joined NNAISENSE in 2015 and works as a Senior Researcher, conceptualizing and implementing client solutions in problem settings such as anomaly detection, defect detection, prediction, process modeling, and sequential decision making.
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?