Course no. 21
Target group
The course is for process engineers, quality managers, maintenance managers, data analysts, and decision-
makers aiming to capitalize on the capabilities of AI and machine learning for operational optimization.
Prerequisites
No prior knowledge of AI or machine learning is strictly required, but attendees should possess a foundational
understanding of their industry’s operational processes. Familiarity with basic data analysis tools is
an advantage but not mandatory.
Course content
This hands-on workshop takes a deep dive into Intelecy’s no-code industrial AI platform and explores its applications in various process industries. Utilizing real-world case studies, participants will learn how to
employ AI algorithms and machine learning models to optimize various aspects of operations such as:
• Energy management
• Predictive maintenance
• Quality control
• Process optimization
We will review a tool for a potential cost-benefit analysis based on the implementation of AI.
Objectives
Upon completing the course, participants will be able to:
• Understand the role of AI and machine learning in industrial operations.
• Navigate Intelecy’s no-code platform to set up operational KPIs.
• Apply data-driven approaches to optimize energy usage and maintenance schedules.
• Make informed decisions based on predictive analytics.
Various
This course runs with min. 4 max. 10 participants.
This course is conducted in Danish or English – all material in English
Location
This course is available in Academy Silkeborg, Denmark
