Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 41 Big Data Names You Need to Know
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > 41 Big Data Names You Need to Know
Big Data

41 Big Data Names You Need to Know

Tracey Wallace
Tracey Wallace
5 Min Read
Image
SHARE

ImageBig data gets a lot of buzz – much of it from startups or advocates laying claim to big data’s big abilities. Truth is, though, that while big data definitely has the potential to bolster your company’s annual revenue, and will likely soon find a permanent place on your balance sheet, big data itself isn’t all that newsworthy. 

Contents
  • Journalists
  • Public Sector
  • Private Sector
  • Academia

ImageBig data gets a lot of buzz – much of it from startups or advocates laying claim to big data’s big abilities. Truth is, though, that while big data definitely has the potential to bolster your company’s annual revenue, and will likely soon find a permanent place on your balance sheet, big data itself isn’t all that newsworthy. 

Before you get to freaking out about that statement though, know this: big data is only as useful as you make it. A bunch of 1s and 0s sitting in the cloud on your company’s shared account aren’t going to suddenly add a bunch of 0s to the right of your business’ bottom line. Of course, the goal then is to make data actionable and useful. The goal is to make big data mean something much, much bigger than itself: to reflect humanity, to better humanity, to encourage, inspire and optimize humanity. 

Sound like a lot for poor ol’ big data to do? Don’t worry – these 41 people, from data scientists to journalists to entrepreneurs, are taking big data into their own hands and making sure it does exactly what it should: produce usable insights we would have never been able to see or fully comprehend ever before.

More Read

big data IoT blockchain Trio
Big Data, IoT And Blockchain: Benefits Of Merging The Trending Trio
The Incredible Predictive Analytics Capabilities Of Blockchain
“Most of the devices on display this year are not electronic islands. Nearly everything is a little…”
2009 Marketing Research Predictions
A Closer Look into the Future Big Data Ecosystem [INFOGRAPHIC]

Follow them on Twitter, get to know their work and consider yourself up-to-speed on the big data elite.

Journalists

  1. Nate Silver – FiveThirtyEight. Author of “The Signal and the Noise”
  2. Kenneth Cukier – The Economist. Co-Author of “Big Data”
  3. Quentin Hardy – New York Times
  4. Derrick Harris – Gigaom
  5. Stacey Higginbothem – Gigaom
  6. Steve Lohr – New York Times
  7. Elizabeth Dwoskin – Wall Street Journal
  8. David Carr – Information Week
  9. Alex Howard – TechRepublic
  10. Rachel Metz – MIT Tech Review
  11. Neal Ungerleider – Fast Company
  12. Mike Isaac – New York Times
  13. Lauren Goode – Re/Code
  14. Phil Simon – various publications. Author of “The Visual Organization”
  15. Bernard Marr – various publications. Author of “Key Performance Indicators: The 75 Measures Every Manager Needs to Know”

Public Sector

  1. Jennifer Kerber – Director, Federal Cloud Computing Credentialing Exchange Program
  2. Haley van Dyck – Senior Tech Advisor, White House
  3. Todd Park – Chief Technology Officer, White House
  4. Steven VanRoekel – Chief Information Officer, White House
  5. Aneesh Chopra – Former Chief Tech Officer, White House

Private Sector

  1. Mary Meeker – Author of the “Annual State of the Internet Report”
  2. Vivek Kundra – Executive Vice President of Emerging Market, Salesforce, Former Chief Information Officer, White House
  3. J. David Morris – Advisor, One Caring Team
  4. Anjul Bhambhri – VP Big Data Streams, IBM
  5. Josie K. – President, The Innovation Enterprise Ltd.
  6. Paul Brown – CEO, Koverse Inc.
  7. Roger Rea – Product Manager, InfoSphere Streams, IBM
  8. Edd Dumbill – VP Strategy, SV Data Science, Founding chair, O’Reilly Strata. 
  9. Matt Aslett – Research director, 451 Research
  10. Tony Baer – IT analyst, Ovum
  11. Merv Adrian – Research VP, Gartner, Vendor Lead, Microsoft
  12. DJ Patil – VP Product, Relate IQ, Former Head of Data Products, Chief Scientist, Chief Security Officer, LinkedIn
  13. Doug Laney – Research VP, Gartner, Originator, infonomics
  14. Hilary Mason – Data Scientist-in-Residence, Accel, Scientist Emeritus, bitly, co-founder, HackNY, co-host, DataGotham
  15. Greg Piatetsky, Ph.D. – President, KDnuggets 

Academia

  1. Jennifer Golbeck, Ph.D. – Computer Scientist, University of Maryland
  2. Alex Pentland  – Data Scientist, MIT
  3. Hod Lipson – Computer Scientist, Cornell University
  4. Sebastian Thrun – Professor, Stanford University
  5. Tom Davenport – President Distinguished Professor of Information Technology & Management, Babson College
  6. Matei Zaharia – Assistant Professor, MIT
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

analytical problem solving skills
AnalyticsBig DataExclusiveJobs

Here Are The Skills You Need To Work With Big Data

7 Min Read

5 Ways Big Data Is Going to Change Over the Next Decade

6 Min Read
Image
AnalyticsData MiningExclusiveHadoopPredictive AnalyticsStatisticsText AnalyticsUnstructured Data

Big Data and Your Body

5 Min Read

The New Way to Segment For a 6x Greater Return

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?