Sentence examples for big data entrepreneurs from inspiring English sources

In the age of sophisticated analytics programs and Big Data, entrepreneurs are relying less on gut instincts and more on software tools to make important business decisions.

Not only did Hearst try to define for me our "age of big data", but she also discussed what Berkeley is doing to encourage and incubate big data entrepreneurs, particularly in the areas of healthcare and privacy.

Bruno Aziza is a big data entrepreneur who has worked at Microsoft, Apple, BusinessObjects/SAP and currently is the CMO at AtScale.

And technology leaders should think about following in the footsteps of individuals like entrepreneur and big data maven Todd Park, who served in the White House as the U.S. Chief Technology Officer from 2012 to 2014 focusing on how technology policy, data and innovation could advance the nation's future, or his successor Megan Smith, formerly vice president of the Google[x] innovation lab.

Additionally, this knowledge and application of big data analysis is often acquired by entrepreneurs during their military service in the Israeli Defense Force's elite intelligence units.

We hope the panel will be especially valuable for attendees, as the panel was curated so entrepreneurs interested in big data, civic startups, and egovernment could meet the speakers and find out how to advance their ideas.

Harpreet Singh is an entrepreneur who understands big data both theoretically and practically.

From fashion to transportation, enterprise to small business, big data is a topic that every entrepreneur, executive, and investor is paying attention to.

Along with "big data" becoming a hot topic for researchers, entrepreneurs and government officials, people realize that a data space has come into existence.

Open data and big data can be important tools for helping entrepreneurs in developing countries maintain a stake in global value chains.

Today, Accel is launching a $100 million fund dedicated to investing in entrepreneurs who are building disruptive big data companies.