Finland’s grand AI experiment

Finland’s grand AI experiment Elements

AI is shaping and driving the future of industry. But when you can’t be in the driving seat of AI development, how do you ensure that you can still be a leader? Finland knows it’s outclassed on raw resources. There is no point trying to compete in terms of developing the basic technology. But Finland has a grand plan. It aspires to become world leader in the practical applications of AI. And its plan is already in action, with tens of thousands of non-tech experts taking part in an experiment aimed at repurposing the country’s economy toward high-end applications of artificial intelligence. This experiment starts by teaching 1 percent of the country’s population – about 55,000 people, from dentists to accountants – the basic concepts at the root of artificial technology, discovering ways in which AI could benefit their day jobs. With an early success, Finland’s “1 percent” AI scheme is now being rolled out nationally.

The telling stories of 2018’s best dataviz?

The telling stories of 2018’s best dataviz?

Nothing tells a story like a good visualisation. We are visual animals capable of extracting information and logical conclusions out of abstract graphic representations. That’s why data visualisation is such a powerful tool, which can communicate nearly anything more effectively than text. 2018 brought an increasing wealth of visualisation work, changing our perceptions of the world around us, telling the story of a planet in flux. See a few of the best dataviz here.

Why data is never raw 

Why data is never raw

Like most substances – sugar or oil – data must be transformed from a raw state to a processed state before it can be put to use. That’s why a distinction is sometimes made between “raw” data and processed data, with “raw data” seen as a kind of ground truth… an empirical starting point. We often laud raw data for its independence from human judgment. But is this interpretation as misleading as it is useful? And rather than being consumed raw, should data be cooked with care instead?

Reinventing a masterpiece of ancient data visualisation

Reinventing a masterpiece of ancient data visualisation2

Euclid’s Elements was first published in 300 BC – the foundations of what we now call geometry. In 1847, mathematician Oliver Byrne rereleased the text with a new, watershed use of graphics, reimagining the proofs in a modernist, graphic language which has become an important piece of data visualization history. Now designer Nicholas Rougeux has taken the visual elements to a new level, turning Euclid’s 6-book collection into an interactive, visual resource 

Posted in Big data, Media roundup On January 4, 2019 By