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When Microsoft presented their new project ELL, the Embedded Learning Library, to the public at the end of June 2017, the media echo failed to acknowledge its groundbreaking potential. Only a few tech-focused news sites referred to the press release and the related github project. This rather underwhelming public attention is not the result of a misguided project decision at Microsoft, but the exact opposite.

About our Blog

This blog is a place for us to reflect on data science, AI, and machine learning. Hence, it covers a broad array of topics: technical considerations, our view on certain industries, interviews with researchers, thought leaders, and industry experts, as well as light-weight visualisation.

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Data Trails No. 3 – Snapshots from the history of data visualisation

Visualising data on health and mortality has a most up-to-date ring to it, as if it had required the rise of big data and computational tools for something as intricate as visual health statistics to develop.

Summer Book Recommendation: “Everybody Lies”

“Everybody Lies” is the harsh title of Seth Stephens-Davidowitz’s new book. While it doesn’t provide any feasible recipe to prevent people from lying, the book helps the reader in one essential realm: to grasp and conceptualize the power of data and data science. Its key strength: It does so in a very engaging and accessible way.

Data Trails No. 2 – Snapshots from the history of data visualisation

Once we have grown used to a new technology, it is hard to turn back and imagine what it was like when it was all new and unheard of. We do not even have an idea of what it was like before the internet anymore.

A Modern Visualization of Group Comparisons

More and more companies, governmental institutions and researchers employ data-centric methods to derive insights from data. Visualizing complex patterns in a simplistic yet intuitively comprehensible way is more important than ever.

How Parties can Leverage Data in this Year’s Federal Election Campaign

How predictable is voter behavior? Could big data really swing an election? The past US presidential campaign and the debate about the effectiveness of Cambridge Analytica have fueled the discourse about the role of data in election campaigning.

Data Trails No. 1 – Snapshots from the history of data visualisation

81 years of budget data and various categories in three diagrams – the United States Fiscal Chart from the 1870 US census atlas is a real blockbuster in the history of data visualisation. The atlas as a whole is full of interesting graphics and has a widespread reputation as an early gem of data visualisation.

Data Science for Pharma – A Short Case Study

Open data in biomedicine is a gold mine that can strengthen innovation in pharmaceutical R&D. In combination with the right analytics, public data helps identify therapeutic targets and ligands, enhance clinical development, and boost portfolio management efficiency. The challenge is to purposefully integrate abundant and heterogeneous data scattered across data sources.

Artificial Intelligence and Law

Legal hackathons are popping up with such increased frequency, one might think that the legal bar exam would by now include some mandatory tech section. That’s not quite the case yet, but academics and representatives of the legal profession are not tired to emphasize that after retail, insurance and banking, law is the next major sector to get disrupted by tech.

Big Data and the United Nations’ 2030 Agenda

The volume of data in the world is increasing exponentially, and with it the opportunity to take on the many environmental, social and developmental challenges facing the world. In other words, big data represents a catalyst for achieving the Sustainable Development Goals, as set by the United Nations (UN). The opportunity is there for governments, business, academia and civil society to drive forward this movement. And the UN is looking to be of enabling forefront of this movement.