Datathon2020 – Predicting weather disruption of public transport – provided by Ernst and Young

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Data Use Case Introduction Climate change is projected to increase the frequency and intensity of some extreme weather events which is likely to damage transportation infrastructure and cause a disruption in the public transport and increase the risk of delays and failure due to storm, flooding and higher temperatures affecting the reliability and capacity of […]

The Kaufland Case – Recognize the Product

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On 22.01.2018 Amazon opened Amazon Go – their first ever physical store without cashiers and checkout lines – customers just grab the products from the shelves and go. AI algorithms detect what product you have grabbed.

Kaufland offers the unique opportunity to work with their internal data on a similar problem – developing a computer vision algorithm that detects which is the fruit or vegetable scanned.

ACADEMIA DATATHON CASE: THE A.I. CRYPTO TRADER

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In an attempt to make a case which is to be somewhat universally understandable by various types of students, the case is financial time-series prediction, while making it more engaging with the hot topic of cryptocurrencies. The case integrates knowledge from various sources – Crypto Currencies, Quantitative Finance and Machine learning. At the same time, the case is stratified as the teams solving it could complete various levels – as far as they could solve it.