Barely a week passes without the announcement of yet another (seed) funding round for a startup, which claims to utilize “artificial intelligence”, “deep learning”, “machine learning” or “proprietary algorithms”. Algorithms, it seems, are at the core of almost all ventures these days – is that really the case?

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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Hands on Microsoft ELL

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.

Data Trails No. 5 – Snapshots from the history of data visualisation

The Earth is roughly four and a half billion years old. During most of that time—i.e. over the course of some four billion years—the geological and biological development on our planet happened unbelievably slow. How can we possibly form even a faint idea of this unimaginable process that is the history of the Earth?

The Power of Text

If one desires the excitement of taking public transportation on a frequent basis, one observation is common through the bench: almost everyone is on the smartphone, checking apps, social media and the news. As “texting” has become so common in our lives, the importance of “text” has steadily increased. Understanding text in all its dimensions is also the basis for conversational AI.

Data Trails No. 4 – Snapshots from the history of data visualisation

There is a very basic joy in roaming through atlases and in looking at maps. Atlases are rich collections of places, and if there is one thing they can do it is making you travel around the world, to places near and far.

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.