Seminar on artificial intelligence and machine learning

The Customer-Oriented Marketing Research Group and the NOVI – Research Group for Information and Knowledge Management invite you to the seminar on artificial intelligence and machine learning on 28.06.2022 at 9.30-16.00 at TAU Linna 5014. During this day, we will have presentations from international researchers that make use of artificial intelligence and machine learning in marketing and consumer research. The workshop in the afternoon is an opportunity to explore and initiate research collaborations among those interested in these topics. 

Please, register for the seminar in this link: https://forms.office.com/r/m9r36GpSgT.

 

PROGRAM

9.30 - 9.35 Opening

9.35 - 10.20 Presentation 1: Utilitarian and hedonic consumer behavior in a supermarket setting: an unsupervised machine learning approach – Associate Professor Vinícius Brei, UFRGS (Brazil) and MIT Media Lab (USA)

10.30 - 11.15 Presentation 2: Demand prediction for branded food products at the brand and individual levels – Cameron McRae, McGill University (Canada)

11.15 - 12.15 Break

12.15 - 13.00 Presentation 3: Managing B2B customer journeys in the digital era: Four management activities with artificial intelligence-empowered tools – Sami Rusthollkarhu, Tampere University

13.00 – 13.45 Presentation 4: Champions for social good: deep learning methods for discovering social sentiment and attitudes patterns in the case of refugees and UNHCR - Raghava Mukkamala, Copenhagen Business School (Denmark)

14.15 – 15.00 Workshops to foster collaboration

15.00 - 16.00 Presentation of ideas and comments

 

PRESENTERS

Associate Professor Vinícius Brei is Research Affiliate & Connection Science Fellow at MIT Media Lab (http://connection.mit.edu/vinicius-brei) from USA and Associate Professor of Marketing / Chair Tramontina Eletrik at UFRGS School of Management (www.ufrgs.br/escoladeadministracao/professor/vinicius-andrade-brei) from Brazil. He is interested in business/customer analytics target at market potential estimation/development. 

Cameron McRae is a PhD student at McGill University (https://www.mcgill.ca/desautels/cameron-mcrae) from Canada. His research interests are consumer health, food marketing, health informatics, and consumer behavior.

Sami Rusthollkarhu is a doctoral researcher in the unit of Industrial Engineering and Management at Tampere University (https://www.tuni.fi/en/sami-rusthollkarhu). His research focuses on digital value creation, artificial intelligence, B2B sales management, and circular economy value creation. Sebastian Toukola, Professor Leena Aarikka-Stenroos, and Dr. Tommi Mahlamäki are co-authors in this project.

Raghava Mukkamala is the director of the Centre for Business Data Analytics (https://cbsbda.github.io/) and an associate professor at the Department of Digitalization, Copenhagen Business School (CBS). He is also the programme director for the Master's Programme in Data Science at CBS. His current research interests focus on big data analytics, data science, blockchain technologies, and cybersecurity. Combining formal/ mathematical modeling approaches with machine learning techniques, his current research program seeks to develop new methods for big data analytics.