Journalist
Steve Lohr has covered technology, business and economics for The New York Times for more than 20 years. In 2013, he was part of the team awarded the Pulitzer Prize for Explanatory Reporting. He was a foreign correspondent for a decade and served as an editor, and has written for magazines including The New York Times Magazine, The Atlantic and Washington Monthly. He is the author of “Data-ism,” which examines the field of data science and decision making (Harper Business, 2015). He is also the author of a history of software and computer programming, “Go To” (Basic Books, 2001).
The catchall phrase big data means three things. First, it is a bundle of technologies. Second, it is a potential revolution in measurement. And third, it is a point of view, or philosophy, about how decisions will be-and perhaps should be-made in the future
Chefs work with food, artists with oil paint, programmers with code.
Listening to the data is important... but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds filtered through a human brain rather than a math model?