Where in industrial processing and machinery is AI already being used?
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 products.
Location: Virtual and on-demand video channel
Live dates: March 24–25, 2022
Time: 8am – 5pm CET
Why is this important?
AI in industrial (manufacturing, energy) applications is at the beginning of its life cycle. According to a very recent analyst report*, in the near term only 14% of companies will have adopted AI solutions, but in 2 to 6 years an additional 83% will join the club. So now is the time to prepare for this wave and if you aim to be an innovation leader to engage.
Who should attend?
The event will provide insights into real AI client projects. It is suitable for both technology and operations management as well as R&D and innovation decision makers. In particular, strategy and business development officers will be able to profit by getting insights into what is real and what is hype, what can be done now and what will need more research work in the coming years.
What will you learn?
How AI is used in industrial processes and industrial machinery products. The challenges, opportunities and realized business benefits.
Whom will you meet?
You can have 1:1 online meetings with participants as well as the speakers.
Can I watch it also later?
Yes, you will first need to register in order to gain access to our video channel where the talks and panels can be re- watched.
Day 1, March 24 – AI Technologies and Projects
|Machine Learning for battery management
|Anomaly detection in industrial process predictive maintenance applications
|General-Purpose AI (AGI) applications in industrial
Director of AGI
|Transportation, shop floor automation
|3rd generation data-driven AI-powered Digital Twin applications
|nnSPECT: Industrial Inspection AI as a Service
Director of Deep Learning
Day 2, March 25 – AI Technology Infrastructures & Platforms
|Petro-SIM and supervised ML
Digital Transformation Consultant
|Oil and Gas
|Microsoft Cloud for Manufacturing
Cloud Solution Architect
|AI in process optimization
Director Process Applications
|Pulp and paper
|Increasing Profitability, Quality, and Solving Supply Chain Challenges with Next Generation AI and Deep Learning
VP of Software Products
|Supply chain management
|How to Find Industrial AI Business Cases
|Optimizing Manufacturing Data and Analytics with Cloud Computing
|Kaytlin M. Henderson
Analytics and Digital Thread Platform Lead, Digital Operations Center
|Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls
Principal AI Engineer
|Panel discussion: Industrial AI project opportunities and challenges
|Kaytlin Henderson, Jürgen Käser, Martin Szugat, Joyce Weiner, Florian Guldner, Florian Trifterer