The prevalence of digital twins has skyrocketed across industries, with organizations utilizing the technology to streamline service delivery and optimize decision-making.
We are at the precipice of the next phase for digital twins, fusing the technology with Gen AI. The result is Multi-agent GenAI Systems (known as MAGS), which can drive 20-30% increases in production throughput, 20-40% reduction maintenance planning time, and 10-30% increases in asset service life.
MAGS are composed of multiple interacting GenAI-based agents, each with a defined role, that work together to solve complex problems and operational challenges across industries. These agents can independently perceive their environments across multiple modalities, make informed decisions and communicate with other agents.
What Will Be Covered
In this session, Greg Porter will discuss:
• Examples of MAGS in practice and possibilities we’ll see take shape in the next year.
• Best practices for deploying MAGS effectively and selecting use cases.
• The use of MAGS and digital threads
• GenAI capabilities empowering the next generation of digital twins with cutting-edge autonomy, self-optimization and data-driven insights.
Who Should Attend
• Business and technology professionals investing or considering investing in digital twins
• Professionals tasked with operational efficiency of systems or supply chains, including operations and maintenance managers
• Digital twin practitioners, data and AI engineers, digital transformation leaders.