Data science aims to explore large amounts of structured and unstructured data sets – ‘big data’ – to design models and algorithms which can predict trends and guide decision-making. This field ...
In this special guest feature, Kumaran Ponnambalam of Transera provides his views on the distinction between traditional data analysts and the newer designation of data scientist. Kumaran is Director ...
Data scientists are in such high demand that the role has been described by Harvard Business Review as "the sexiest job of the twenty-first century." In an age of artificial intelligence (AI) and ...
Forbes contributors publish independent expert analyses and insights. I write about the decision intelligence revolution. Twenty years ago, there was a great reckoning in the market research industry.
How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...
What’s the difference between a data scientist and a data engineer? Quick access to the data-driven insights keeps the world’s best companies at the top of their game. But that data doesn’t just ...
Lee Davis is a tech analyst who has been covering the document imaging industry for over five years. Currently, Lee is the Associate Director of Software and Scanners at Keypoint Intelligence, where ...
Our world is awash in data. At home, families might own an internet-connected refrigerator or ceiling fan that turns on with an Alexa command. At work, people know their company relies on business ...
Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it’s poised to transform all sectors, ...
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