Professor of Computer Science at the University of Illinois
Title of the speech:
AI and Sensors Can Reduce Costs at “Old Economy” Companies
Insights from data science can reduce operating costs for companies far from the high-tech world. This presentation highlights how operators of chiller plants (air conditioning) and computer chip fabrication facilities have saved money by using AI to gain insights into the behavior of their heavy equipment.
Title of workshop:
Using AI in your organisation
Data science and AI can be valuable tools for companies far outside the high-tech world. In this workshop, we examine how a small company that designs and operates chiller plants (air conditioning) for major buildings is using AI and other tools of data science to achieve significant energy savings. We will also briefly examine how a bus manufacturer is using machine learning to gain insights into driver, engine, and battery behavior, and take a quick look at where a giant retailer uses AI (everywhere!). We close with a discussion of the steps you should take now in order to take advantage of AI and data science in the future.
Marianne Winslett has been a professor in the Department of Computer Science at the University of Illinois since 1987. After four years as the director of Illinois’s research center in Singapore, the Advanced Digital Sciences Center, she returned to the US in 2013. She is an ACM Fellow and the recipient of a Presidential Young Investigator Award from the US National Science Foundation. She is the former vice-chair of ACM SIGMOD and the co-editor-in-chief of ACM Transactions on the Web, and has served on the editorial boards of ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information and Systems Security, the Very Large Data Bases Journal, and ACM Transactions on the Web. She has received two best paper awards for research on managing regulatory compliance data (VLDB, SSS), one best paper award for research on analyzing browser extensions to detect security vulnerabilities (USENIX Security), and one for keyword search (ICDE). Her PhD is from Stanford University.