AI for secure automation
1 day, 8.30-16.30 (CEST)
This target persons involved in system design & who needs to understand best way for his or her company to continue driving automation by applying AI in a profitable, secure and sustainable way. You may like to add predictive maintenance to an existing solution or consider a new design by start creating a proof of concept.
We combine theoretical foundation, design examples and an example of how to use cheap standard modules to build your own first AI Proof Of Concept. We understand why ethical design is important for your business. We also look at how to avoid cyber attacks and undesired surveillance. Finally we briefly discuss how AI can help your company to meet its sustainability goals
Sections to cover
- Hardware requirements & AI system design
- AI, Machine Learning and federated training
- Neural Networks & how to create a POC
- General AI & ethics, to be considered in your business planning
- Security, how to avoid costly attacks
After the training you shall have a good overview knowledge of AI for automation, ability to come up with basic requirements and be able to start or continue driving change in your own organisation towards safe automation.
Course participant review
“My main takeaway from the course was the points to consider when implementing predictive maintenance and the overview of different neural networks. This will kickstart the work on AI in our company.” Anders Ejdeling, Evolabel
Jonas Kallmén, Founder of Intelligent Connected Products, has 25 years experience of automation and helped adopting model based design, real-time operating systems, EDA-tools, industrial computers (COTS), SaaS, AI and IoT into the development process of networking, industrial, manufacturing, consumer products etc.