Internet of Things: A Concept for the Future
The Scientific Method in Tech – A|B testing as the driver of Data Driven Product Development
Recommender Systems for Mass Customization of Financial Advice
Will we arrive on time? Forecasting train delays by using data rather than assumptions
Responsible and Trusted Artificial intelligence
Predicting future business performance of hotels and restaurants with the help of online ratings
AI-powered customer care
The Future of Swiss Railway Dispatching: Deep Learning on a Digital Twin
Automating insurance claim processing: Using NLP methods to learn sparse spaces
SME default prediction using novel data sources and machine learning techniques
When will my train run? Predicting the duration of disruptions in the SBB railway network with Recurrent Neural Networks
AnalyticsOps – DevOps for Data Science
Valorisation of smart grid monitoring data
Information Theory of Deep Learning: What do the Layers of Deep Neural Networks represent?
10 learnings from the trenches
Automated AI/ML: What can (and can’t) be automated in Data Science
Goodness of fit assessment by chi-square decomposition and its application for critical decision making
Modern Information Platforms – How digitalisation can be managed in enterprises
Data Science in Action – 2 use cases
Data as the Fuel and Analytics as the Engine of the Digital Transformation: Demystification, Challenges, Opportunities and Principles for Success