Artificial intelligence (AI), Industry 4.0, and digital transformation are interconnected concepts shaping the future of industry and services. Therefore, FBE instructors, together with external experts in these fields, have prepared a seminar focused on current trends that introduces practical experience with implementing AI in manufacturing processes and service operations within a manufacturing company.
- Under the guidance of an experienced lecturer, participants apply the content mainly using exercises and examples from practice.
- Top lecturers with practical experience and experts in their field.
- High level of satisfaction among course participants.
- Gain an overview of the possibilities for using and implementing AI in manufacturing companies from case studies, practical examples, and best practices.
- Opportunity to explore opportunities for implementing and working with AI for your company under the guidance of an experienced expert.
- Gain an understanding of how artificial intelligence can increase the competitiveness of businesses and optimize manufacturing processes.
- Use AI to solve specific work tasks and problems. Become familiar with the latest AI technologies available.
AI helps increase our competitiveness
• Identify opportunities for deploying AI in production processes
• Does AI bring savings in materials, energy, labor, or increase production quality?
• What benefits can be expected from its deployment and which problems is it unable to solve?
• How to move from historical data analysis to supporting operators directly in processes?
• How to properly set up collaboration between human experts and AI systems and ensure that they are positively accepted?
Basic concepts of AI
• Machine learning and other intelligent algorithms
• Basic categories of machine learning: supervised, unsupervised, reinforcement.
• Uses of machine learning: segmentation, localization, detection, prediction, regression, classification, reinforcement, generation.
Case study of AI in manufacturing (examples of practical applications)
• Real-world examples of AI deployment in manufacturing, logistics, and services.
• Intelligent technologies and Industry 4.0 concepts.
• Big Data – data collection, validation, analysis, and utilization
• Exercise: analysis of your own process – where does it make sense to implement AI?
AI in production planning
• Optimization of capacities and schedules using AI
• Prediction of bottlenecks and delays
• What-if simulations for production scenarios
• Working with real (or model) production data
AI in logistics and supply chain
• Predictive inventory management (forecasting)
• AI for route and warehouse operations optimization
• Rapid analysis and reporting of logistics status using AI agents
• Case study: reducing transportation and storage costs
Strategic plan for implementing AI in a manufacturing company
• Methodology and roadmap for AI implementation.
• How to incorporate AI into a process efficiency strategy.
• Finding areas with the greatest potential for benefit.
• Big Data – data collection, validation, analysis, and utilization.
• Implementation and evaluation.
Practical examples
• Presentation of successful examples of AI implementation.
• Discussion of different approaches to AI and adaptation to specific business needs.
• Questions and answers on specific situations faced by participants.
We will provide you with more detailed information about the price, possible dates and training schedule at the e-mail address fbe@fbe.sk or at the phone number +421 2 54418 513.
