A Conversation With AI Talent: The Best and the Brightest (Part 3)
We are glad to have the opportunity to speak to renowned AI experts who are putting their exceptional knowledge into practice to solve some of society’s most pressing issues. In our past couple of conversations, we have spoken quite a bit about the role of AI in transforming business, but what about its role in helping to solve major societal issues like natural disaster prevention and preparation?
In Part 3 of our ongoing video series, Appier’s Chief AI Scientist Dr. Min Sun sat down with Professor Naonori Ueda, Deputy Director, RIKEN Center for Advanced Intelligence Project. He is also the Director of Machine Learning, Data Science Center, NTT Communication Science Laboratories and a visiting professor for the Graduate School of Informatics at both Kyoto and Kobe Universities. Professor Ueda has been working in the fields of artificial intelligence and machine learning for more than 30 years, and is passionate about applying his research to real-world issues that affect everyone.
In this discussion, the two AI professors talk about the importance of artificial intelligence experts working with domain experts to ensure that every discipline can make use of AI research to solve problems in almost every area imaginable. Professor Ueda uses natural disasters as an example – though he is not a weather or seismology expert, he can help those who are applying AI to improve predictive capabilities. For example, with AI, it can be easier to find out which structures might be most vulnerable in severe weather, meaning that any necessary repairs or reinforcement could happen before a disaster.
Take a look at the video to hear more details about these critical activities, and also to learn what young AI specialists and researchers need to be equipped with to have the most positive impact on business and society.
Stay tuned as always for more insights coming soon!
WE ARE HERE TO HELP
YOU MIGHT ALSO LIKE
The Asia Pacific (APAC) region is experiencing an insurance boom, as well as significant digital disruption in this sector, according to a recent report by
The way we think about artificial intelligence (AI) is changing. Traditionally, AI has tried to emulate and surpass human intelligence by mimicking how people think