Artificial intelligence in service systems Event as iCalendar

(Information Systems and Operations Management)

19 December 2018

1 - 2pm

Venue: The University of Auckland Business School, Level 3, Room 317, 12 Grafton Road, Auckland, 1010

While there are impactful insights on how AI can solve isolated business problems, there is a gap of insights for AI applications within systems and business networks. To our current understanding, this is mostly due to IP preservation and technical issues (data volume, robustness, distributed sources). In this talk, I will highlight a few possibilities on how to tackle these barriers.

Niklas Kühl is team leader “Advanced Analytics & Applied AI” of the Karlsruhe Service Research Institute (KSRI) at the Karlsruhe Institute of Technology (KIT). He has been working on machine learning (ML) and artificial intelligence (AI) for the past 5 years. Niklas did his PhD in designing & implementing an AI capable to automatically identifying customer needs in social media data. Currently, he and his team of seven researchers are working on different ML & AI solutions within industrial services, sales forecasting, production lines or even creativity. Additionally, Niklas recently founded “kalytics”, a startup in the field of ML consulting.

For more information contact:
Jaeseok Lee
Ext: 82170