Agentic systems have demonstrated their ability to leverage foundation models (FMs) to tackle complex, real-world challenges. With multi-agent collaboration to orchestrate multiple agents, these systems enable autonomous collaboration, decision-making, and efficient problem-solving across diverse environments and industries.
In this talk, we will take a first-principles approach to deconstruct the architecture of multi-agent collaboration frameworks via industry use cases and explore how specialized agents could be prompted and orchestrated to boost intra-agent collaboration. We’ll touch on methods for evaluating these multi-agent systems and how to deploy and scale these systems in production in a governed and responsible manner.
Tingyi Li is an Enterprise solutions architect at Amazon Web Services, where she leads strategic engagements with major Nordic enterprises on their cloud-optimized digital transformations. As founder and leader of AWS Nordics Generative AI community, she is dedicated to Generative AI productionisation, working towards enterprise adoption and governance of industry-specific GenAI solutions and agentic workflows. Prior to AWS, she worked as a Data & AI Engineer at Intel, Foxconn, and Huawei, building large-scale intelligent industrial information platforms and data integration systems with advanced data pipelining and AI/ML technologies.
Tingyi is a frequent speaker at premier conferences globally, including AWS Re:Invent, AWS Summit, QCon, TDC, NextM, Nordics AI Week, IEEE Cloud Summit, IEEE WIE Leadership Summit, etc. and is the featured instructor for the flagship GenAI courses at the University of Oxford. In her spare time, she works as a part-time illustrator who writes novels and plays the piano.
