Digital & Data

Digital technology, Artificial Intelligence (AI) and big data can help improve communication, collaboration, content management and business results. Businesses are already using analytics data and social networking as well as customer experience data. It's also a field of study with excellent career prospects. ABS is home to researchers conducting cutting-edge research in digital business analytics and AI and our programmes feature the latest insights and expertise in this field.

UvA connects with NGOs to train data-experts

Over the next 10 years, 3.5 million data experts will be needed worldwide to tackle social issues in low- and middle-income countries, according to a report by one of the ‘data for good’ global think tanks data.org. ...

Read more
Amsterdam Business School helps make flying safer

Flying has become safer and safer in the past few decades. Human error, however, continues to be a key factor. If we are to learn more quickly from our failures, it is important that aviation specialists can ...

Read more
Claudia Orellana Rodriguez (ABS): 'You can have a big social impact with simple data models'

Studying people’s sentiments towards politicians, extending the reach of news on social media, or improving asylum seekers’ access to information: these are all in the domain of machine learning. Claudia Orellana ...

Read more
Marc Francke: 'Machine learning a democratising factor in the valuation process'

How do you value a house? Marc Francke, an econometrician and Professor of Real Estate Analytics at the Amsterdam Business School, has been pondering this question for a very long time. Where traditional models fall ...

Read more
Improving the world through the power of advanced analytics

Using data analysis to increase the impact NGOs and the public sector can have on the United Nations Sustainable Development Goals (SDGs) - that is the goal of the new Analytics for a Better World Institute from the ...

Read more
ABS investigates use of AI to detect accounting fraud

Is it possible to identify accounting fraud from the published financial statements of quoted companies? Indranil Bhattacharya, a PhD student at the Amsterdam Business School (ABS) thinks it is.

Read the interview
UvA alumni develop automated platform for corporate finance

Intrical AI, a startup founded by 3 UvA alumni, builds company profiles for corporate finance on the basis of AI. The product now has MVP (minimal viable product) status, with ABN AMRO as the 'launching customer'.

Read the article
AI in law: language model can speed up the work of lawyers

The use of AI models can help legal practitioners understand complex legal texts. ABS researcher Julien Rossi is trying to find out how such a solution might work using Natural Language Processing.

Read the interview
Deep learning networks study images of Amsterdam to improve quality of life

A partnership of nine cities and three universities has resulted in an initiative that uses geographic information about existing city objects to develop a data set with panoramic images of Amsterdam.

Read the interview
‘The combination of operations research and data science is like a happy marriage’

Dr Ilker Birbil is taking up a position as Professor of Artificial Intelligence & Optimisation Techniques for Business and Society at the ABS starting 1 May. This position will combine his passion for two ...

Read the interview
Europe needs its own Google!

An article by Marc Salomon on why limits have to be placed on Big Tech to protect consumers. Marc is Dean of the Amsterdam Business School and involved in the Amsterdam Data Science initiative.

Read the blog article
In search of the perfect picture with machine learning

What makes a photo perfect? This usually was a question of experience and gut feeling for marketers. PhD student Gijs Overgoor went looking for the answer with the help of machine learning.

Read the interview
Deep-learning model gives insight into paintings and the art market

What art paintings successful? Anastasios Efthymiou's research looks at deep-learning patterns and correlations in a data set containing more than 2 million images of 76,000 paintings.

Read the interview

Digital & Data

Cookie Consent