Featured in the interview video below, Jake Porway is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He founded DataKind™ in the hopes of creating a world in which every social organization has access to data capacity to better serve humanity.
I am convinced we’re at an important inflection point in the timeline of the discipline of computer science. When compared to other disciplines like mathematics, physics and biology, computer science is a very young field, starting around 1964. But something is happening now, in 2014, that is propelling the field into a new evolutionary period.
A recent big data report was based on a Forbes Insights survey and conducted in association with Rocket Fuel, a provider of artificial intelligence advertising solutions. The report provides insight into how marketers perceive the value of using big data technology to drive marketing initiatives.
You’ll find much banter in the data science ecosystem these days about all the skill-sets required to effectively function as a data scientist. Some have gone so far as to label the perfect melange of experience and knowledge as a “Unicorn.” This a reference to the recent discussions in the press and blogosphere indicating that Data Scientists are as hard to find as unicorns.
“Most technology does some things well, and some things poorly. There is no ‘one thing’ that is the perfect solution for all use cases. As you make your next move, pick gear, software and partners that will first and foremost help solve the problem, don’t worry about what someone else will think of your choice. On more occasions than you think, an “old” technology, such as tape or virtualization, can create a competitive advantage.”
2013 was a pretty good year for data and visualizations. Visualization in particular continues to mature and focus more on the data first than on novel designs and magnitude of scope. Our friends over at FlowingData have put together a thought-provoking REVIEW of many of the year’s most compelling visualizations.