Four Keys To Building Your Data Science Function From DJ Patil, DataScience.com's New Board Advisor

DJ Patil, the first U.S. Chief Data Scientist, has joined the Advisory Board of DataScience.com, "He will be an active advisor to our product and engineering teams, and with his experience at LinkedIn, Greylock and The White House, he really has a pulse on the landscape." But beyond the data-powered advances in artificial intelligence and machine learning, lies an important challenge for both scaling startups and modernizing enterprise companies -- what good is data if you can't find it, deploy it, or make it meaningful for your customers? I asked Mr. Patil all the questions that a CTO, CIO or VP of Engineering would love. But, as Mr. Merchan says, "DataScience is part of a trend toward internal marketplaces of knowledge," so these issues are also important for non-technical executives, and other business leaders to understand." We centered around four key themes that leaders should know about building a sustainable data science program. Forget the data scientist'shortage' -- focus on building the data science function. "First, data science in business is a relatively new phenomenon.