According to The Royal Society, only 9% of respondents have heard about Machine Learning, yet when faced with the impact this technology can have – it’s something 100% of us have a view on. It seems every conversation on Artificial Intelligence comes back to Philosophy – read this to see why…
Author Archives: Charles Radclyffe
The release of the 2016 Gartner Business Intelligence and Analytics Magic Quadrant has profound implications for everyone working in the Data Analytics industry. Read this article to see what has changed.
Who are the potential winners and losers from the Machine Learning Age? The dataPHILOSOPHER was asked to give evidence to The Royal Society as part of their policy project on Machine Learning. Read more to see more details on this project and the areas of focus for Policy Makers and their advisers.
It’s rumoured that Apple will shake the industry with the launch of its iPhone 7 later this year and abandon the standard headphone jack in favour of their own proprietary Lightning connector. I discuss the pros and cons of such a move and argue (again) for the need for industry to agree standards and consumers to enforce them.
All cars are the same… or are they? Why are those little differences between vehicles that get in the way of you keeping your eyes fixed on the road? Why has the auto-industry only embraced a limited form of standardisation in the design of cars?
Six ways to avoid the new Star Wars movie, and why Google needs some data visualisation Jedi to help us see the world in a better way…
Why running from a woolly mammoth is not always a smart choice, and other data driven questions from the modern world.
“On a scale of 1-to-5, from very dissatisfied to very satisfied, what do you think…”
Find out how technology will soon bring an end to these pointless surveys, and how we’ll all be back to expressing our feelings, in our own words soon.
Thanksgiving by numbers. Sadly Thanksgiving 2015 seems to have been hijacked by Infographic designers. Let’s explore where they get it wrong!
What can we learn from the natural world to help us build better human – computer interfaces? Is the bombardment of information from machines (both visual and audible) sustainable? Can we find a better way? Find out.