We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Listening In: Big Ideas About Big Data
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Listening In: Big Ideas About Big Data
AnalyticsBest PracticesCommentaryData MiningData WarehousingPolicy and GovernancePredictive Analytics

Listening In: Big Ideas About Big Data

Brett Stupakevich
Brett Stupakevich
4 Min Read
Listening In: Big Ideas About Big Data
Illustration generated with qwen-image-Q4_K_M (local ComfyUI) + quality 20-step CFG 4.
SHARE

National Public Radio is not the most obvious place for a deep dive on “The New World of Massive Data Mining,” so it may have surprised listeners when the April 2 edition of Diane Rehm’s popular NPR discussion program devoted an hour to just that topic. But the wide-ranging conversation covered some fascinating territory, and attracted thoughtful questions from the audience.

Guests included: John Villasenor, a senior fellow at the Brookings Institution and professor of electrical engineering at UCLA; Suzanne Iacono, senior science advisor for computer and information science and engineering at the National Science Foundation; and Michael Leiter, senior counselor at Palantir Technologies and former director of the National Counter Terrorism Center.

You can hear the conversation or read the whole transcript here. In the meantime, though, here are a few highlights:

  • Leiter: The challenge of big data is not only the volume – “it’s also the speed with which it’s coming in, and the variety of forms of the data.” The most important requirements for managing and utilizing big data are first, integrating the data to discover meaningful correlations, and second, doing that in a “flexible, agile way” so human beings (not algorithms) can explore the data effectively.
  • Iacono: “We’re seeing a huge transformation in science,” brought about by the shift from relatively small datasets to massive quantities of information. Big data creates “opportunities to address national challenges like clean energy and cyberlearning in completely new ways that we’ve never thought about before.”
  • Villasenor: “One of the most remarkable statistics among many in the technology world” is the tremendous decline in storage costs over the last three decades. “It now costs less than seventeen cents to store everything one person says on the telephone in a year.”
  • Leiter: “We have to make sure that the same technology that is used to leverage this data for very good purposes can also [be used] and is also used to protect privacy and civil liberties.” That could mean, for example, auditing the information that’s looked at, and putting controls on how it’s used.
  • Villasenor: “Advertisers will talk the talk in terms of respecting consumer privacy when it suits their interest.” But as long as there’s a “fundamental underlying financial incentive for advertisers to know as much as they can about you,” they’re always going to push the boundaries in order to gather more information.
  • Iacono: “There’s a whole new area called ‘Green IT,’” and a lot of computer scientists want to ensure that huge data centers and server farms are not using excessive amounts of electricity and other resources. “Right now we’re grappling with these issues.”

Next Steps: Download our complimentary “5-Minute Guide to Business Analytics“ and learn how analytics technologies can help you uncover the most relevant data when you need it.

More Read

Apache Drill vs. Apache Spark: What’s The Right Tool for the Job?
Technology Makes a Difference for Location Analytics
Big Data, Small Details: How Metadata Creates Security Risks
The Agile Agency: creating the best conditions for awesome
Big Data Challenges Of Industry 4.0 Worth Considering
TAGGED:big data
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Top 8 Productivity Tracking Apps That Leverage Big Data

7 Min Read
Splunk: Bringing Big Data Analysis to the Rest of Us
Data QualityData VisualizationHadoop

Splunk: Bringing Big Data Analysis to the Rest of Us

5 Min Read
Operational Data Becomes Business Value in the Age of AIoT
Big DataExclusiveInternet of Things

Operational Data Becomes Business Value in the Age of AIoT

12 Min Read

Big Data Bubbles Up Trouble!

3 Min Read

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

How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?