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: Google Squared: A Great First Step
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Google Squared: A Great First Step
Uncategorized

Google Squared: A Great First Step

Daniel Tunkelang
Daniel Tunkelang
5 Min Read
Google Squared: A Great First Step
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

Regular readers know that I am not a Google fan boy, and that much of my commentary on Google focuses on their neglect of exploratory search. Nonetheless, when I saw the initial Youtubeware describing Google Squared a few weeks ago, my ears perked up. I decided to wait until it went live to assess it. Well, it’s live now.

The idea of Google Squared is simple: it “collects facts from the web and presents them in an organized collection, similar to a spreadsheet.” The best way to understand it is to try it. For example, search for hybrid car, and you’ll see a table of hybrids, with columns corresponding to image, description, type of transmission, yeah, and height. Add a price column if you’d like, and it will populate it for you. Very slick.

Of course, it is, as Google admits, “by no means perfect”. Most queries will show its warts, and some, like information scientists, are way off (it doesn’t even try to return results for library scientists). But it does pretty well when there is structured data out there, and it makes admirable attempt to find it! I suspect the real trick here is that it does a decent job of finding determining instances of the query category (perhaps a souped up version of work they started discussing back in 2004), and then mining structured content about those instances from repositories like Freebase.

More Read

How Well Do You Know Open Source Projects? Take Our Quiz
How Well Do You Know Open Source Projects? Take Our Quiz
Xactly Delivers New Inspiration for Sales to Maximize its Potential
A Uniquely Cincinnati Alternate Use Case
Data pre-processing in PMML and ADAPA – A Primer
Culture Change – Call it for what it is

I mean, look at these results:

  • b-movies
  • renaissance choral composers
  • heroes characters
  • sf books

To be clear, I picked these examples after a fair amount of trial and error–like Wolfram Alpha, it is hit and miss, with more miss than hit. But, as Seth Grimes said at the recent Text Analytics Summit, when Wolfram Alpha is good, it’s very very good, but when it’s bad, it’s horrid. Google Squared doesn’t fail quite so spectacularly, and it gives you a lot more of a chance to interact with it.

This is, by far, the best step I’ve seen Google take towards HCIR, and I’m impressed. It’s still a toy at this stage, but I think it has a future. My warmest congratulations to Daniel Dulitz and the rest of the magpie team that developed it; I’m looking forward to seeing it evolve.

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

The Social Enterprise - the internal view
Uncategorized

The Social Enterprise – the internal view

12 Min Read

Data Breach Reporting: A Job Killer or Business Saver?

5 Min Read
The Outline for Your Next IT Strategy Meeting
Uncategorized

The Outline for Your Next IT Strategy Meeting

3 Min Read
Test Your Level of Expertise with SAS/R/Python
Uncategorized

Test Your Level of Expertise with SAS/R/Python

9 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?