Subject archive for "perspective," page 8

Editor’s note: This is part of a series of articles sharing best practices from companies developing an enterprise data science strategy. Some articles will include information about their use of Domino.

The evolution of technology, much like the evolution of life on our planet, has been characterized by steady progress interspersed with occasional mass extinctions and bursts of innovative new life. We are fortunate to be experiencing one of those evolutionary inflection points. Innovations in data science and AI abound and are already changing the very nature of business and life. With this technological boom comes real risks for organizations who do not acquire the survival traits of the new era.

Data Science at ConTe.it and Admiral Group Europe

Back in 2012, Harvard Business Review declared: “Data Scientist: The Sexiest Job of the 21st Century.” Authors Thomas Davenport and D.J. Patil (now the U.S. Chief Data Scientist at The White House) devoted much of their article to defining what a data scientist does. Back then, large enterprises were just waking up to the importance that data science could have in unlocking the power of data. As a relatively new discipline, they noted that the demand for data scientists far exceeded its supply, and “the shortage of data scientists is becoming a serious constraint in some sectors.”