AI for automation
This intensive course target persons who needs to understand best way for his or her company to adopt AI in order to drive automation. You may like to improve operations efficiency for example by automating your currently manual quality inspection or by improving your existing product by adding predictive maintenance. You may have little or no experience with AI.
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 look at why ethics is important to create artificial intelligence that people trust. We also look at risks to avoid such as cyber attacks and undesired surveillance. Finally we briefly discuss how AI besides automation can help your company to meet its sustainability goals.
Sections to cover
- Components needed & system design for AI
- Rule based AI & Machine Learning
- Neural Networks & how to create a POC
- General AI & ethics
- Security, how to avoid costly attacks
- How AI can contribute to your business sustainability goals (briefly
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.
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.