Artificial Intelligence for Nudging Complex Supply Networks
January 22
Artificial intelligence has quickly transitioned from a concept in science fiction to an integral part of our daily lives. It has become an innovative tool across various industries, powering everything from the algorithms behind our favorite applications to the predictive models that optimize global logistics.
At the next event in our Distinguished Lecture Series, Alexandra Brintrup, a professor at the University of Cambridge, will discuss the role of artificial intelligence in operations and supply chain management. She will address the current state of affairs and the major driving forces shaping supply chains today.
Brintrup will introduce AI with multiple definitions, to cover what is AI and, importantly, what is not. She will introduce subfields of AI and data science and how they are primarily used in supply chain management. She will then delve deeper into an “exotic” selection of supply chain AI, to emphasize that which could not have been done before.
The lecture will also include state-of-the-art research examples in network analytics, digital supply chain surveillance, collective learning and distributed decision-making automation. Brintrup’s aim is to encourage debate on how AI should be evaluated by breaking disciplinary silos in the operations management community.
Lecture participants will also gain valuable insights into potential pitfalls and challenges associated with AI, including loss of data traceability, complacency, lack of accountability and cognitive atrophy.
About the speaker:
Alexandra Brintrup is a professor of digital manufacturing at the University of Cambridge, where she leads the Supply Chain AI Lab. She also leads digital manufacturing at the Alan Turing Institute, is external faculty at the Complexity Science Hub Vienna and a fellow of Darwin College.
A pioneer in studying large-scale supply chains as complex adaptive networks, her research has led to understanding of universal patterns that govern supply chains. She was first to develop algorithms to predict supply chain dependencies and disruptions.
Over the past decade she has advised policymakers as well as national and European scientific committees. She also has worked with startups, small- and medium-sized enterprises and international organizations.