This presentation introduces Multi-Agent Generative Systems (MAGS), an advanced AI-driven platform that integrates multiple software agents with large language models to optimize industrial processes. Unlike traditional multi-agent systems, MAGS agents can reason, collaborate, and adapt to complex environments.
Pieter van Schalkwyk will explore how MAGS agents observe their environment, reflect on past experiences, plan actions, and execute tasks. The presentation will highlight the crucial role of digital twins in providing a real-time proxy for physical assets, enabling continuous monitoring and simulation.
WHAT WILL BE COVERED
We will investigate the unique aspects of MAGS, including:
1. Advanced reasoning capabilities
2. Collaborative problem-solving among agents
3. Adaptive decision-making in dynamic environments
4. Integration with real-time data and business applications
We will discuss practical applications of MAGS in various industries and demonstrate how it enhances efficiency, safety, and decision-making in complex operational settings.
The presentation will conclude with a live demonstration of MAGS managing an industrial business process using digital twins, showcasing its potential to transform operations through intelligent automation and continuous optimization.
WHO SHOULD ATTEND
• Technologists and business executives across industries, committed to digital twins and taking their operational efficiency to the next level.
• Technologists and business executives interested in learning more about digital twins of real world implementations, digital engineering, 3d modeling and simulation, and how they realize value.
• Anyone interested in digital engineering or digital twins.