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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 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

ways to protect yourself online
Big Data: Important Ways To Protect Yourself Online
Drupal: Open Source CMS for Data-Driven Businesses
Social Network Analyzer Download Available
Data Mining Fundamentals: Khabaza’s 9 Laws of Data Mining
The New Predictive Profession: Odd Yet Newly Legitimate [BOOK REVIEW]

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

Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive
julia taubitz vn5s g5spky unsplash
Benefits of AI in Nursing Education Amid Medicaid Cuts
Artificial Intelligence Exclusive News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
Big Data

How to Create the Business Case to Start With a Big Data Proof of Concept

6 Min Read

Is the RDBMS doomed (yada yada yada) ?

6 Min Read

Is Data Science a Liberal Art?

4 Min Read

Researchers at MIT have made pure, dense, thin films of carbon…

1 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?