The Erasmus University of Rotterdam works in close collaboration with TU Delft and the University of Leiden in research related to Artificial Intelligence (AI). How designers become even more creative with a robot in their team, how Twitter can possibly predict the stock market, and catching a single bacterium in the act of infecting a cell. On the mutual platform Leiden - Delft – Erasmus you find recent examples.
In the online magazine Professor of Digital Business Ting Li explains how companies can benefit from data at the Erasmus Centre for Data Analytics. You probably don’t realise it, but Google gets smarter with every search you make. “It’s a learning algorithm and it’s becoming more and more precise. The more often we click on a page, the higher that page will appear in the list of search results”, she explains.
AI is everywhere
AI is everywhere, says Li. It’s in cars and banking systems, in dating sites and all over the media. Companies often use recommendation systems – a form of AI – to recommend products, such as movies on Netflix, music on Spotify, and all manner of items on Amazon. “You might think that you never click on those recommendations, but 30 to 35% of Amazon’s sales come from smart recommendation systems that are increasingly being fine-tuned by their data engineers”, she says.
Stock market forecasting with Twitter
In another project, Li is investigating whether you can predict the stock market using Twitter or Facebook. “Algorithms can browse through those media and distil sentiments. For example, based on the sentiment ‘Apple did well in the first quarter’ you might be able to predict how their share price will go”, she says. It’s not certain whether this will work yet; it could also be that the sentiment only becomes more positive after the share price has risen.
Information that benefits society
It is not just about making money. “You could also improve your service based on such data and AI systems. For example, I work with public transport companies who want to improve their fare structure based on travel patterns, or ensure that passengers do not have to stand.” Li describes the core of her research as follows: “I’m always looking to understand the relevance of information, be it for the benefit of companies, individuals or society as a whole.”
Read the full interview including other examples here
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AI within Erasmus Universiteit Rotterdam: Erasmus Centre for Data Analytics
And visit the mutual Leiden-Delft-Erasmus platform
