Topic

Data Science

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.

Why to be sceptical about the rise of AI startups

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?

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. 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.

Trend Detection – Delineating possibilities and utopia

In times where seemingly every second “The Economist” Special Report focuses on either Artificial Intelligence (AI) or Big Data, general expectations regarding current technological capabilities are higher than ever. Rightly so, as there have been so many notable advances in recent years. What does this mean for trend detection?