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
    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
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: What Would Google Do? / What Does Google Do?
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 > What Would Google Do? / What Does Google Do?
Uncategorized

What Would Google Do? / What Does Google Do?

Daniel Tunkelang
Daniel Tunkelang
8 Min Read
SHARE

This evening, I had the opportunity to hear Jeff Jarvis talk about his recently published book, “What Would Google Do?“. That opportunity was briefly in doubt: 277 people signed up for the event at the Daylife office, which had planned for a capacity of 150. Fortunately for me, my friend Ken Ellis let me in early, and I was not turned away at the door. Which is fortunate for you, since it means I have something to blog about!

Jarvis was entertaining, as expected. He is an excellent speaker, both when he’s delivering prepared material and when he’s put on the spot by aggressive audience members, who were in no short supply…

More Read

Google’s Peter Norvig Offers Kind Words for Bing, Exploratory Search
People, Process & Politics: Stop the (Integration) Madness
We have a winner!
How to Generate Big Data Revenue Without the Big Investment in a Team of Data Scientists
Apache ODE is Reaching Critical Mass

This evening, I had the opportunity to hear Jeff Jarvis talk about his recently published book, “What Would Google Do?“. That opportunity was briefly in doubt: 277 people signed up for the event at the Daylife office, which had planned for a capacity of 150. Fortunately for me, my friend Ken Ellis let me in early, and I was not turned away at the door. Which is fortunate for you, since it means I have something to blog about!

Jarvis was entertaining, as expected. He is an excellent speaker, both when he’s delivering prepared material and when he’s put on the spot by aggressive audience members, who were in no short supply.

I perhaps deserve credit (responsibility?) for inciting the mob by asking the first question, suggesting that Google was the opposite of transparent (one of the most “Googly” qualities in his enumeration) and that, if we were to learn anything from Google, it was that success is best achieved through benign dictatorship. In fact, I told Jarvis that I thought he’d already seen the light on this issue.

Jarvis didn’t even flinch. First, he made clear that he was more interested in “the idea of Google” than the company itself. Second, he argued that Google has made the world transparent, even if Google isn’t always transparent itself. Finally, he suggested that being in continuous beta was a form of transparency. I didn’t have a chance to follow up after that, but others did, and I was happy to see that the crowd, on the whole, seemed unpersuaded by the culty premise of “the idea of Google”.

But what I enjoyed far more that the advertised event was the heated conversation I had, following Jarvis’s presentation. Bob Wyman, an engineer at Google, offered a full-throated defense of as many of Google’s technology and business decisions as I could question. While we ultimately agreed to disagree, I credit him for making a serious case. Unfortunately, I couldn’t take notes and uphold my side of the argument at the same time, so I’ll apologize in advance for any details I’ve lost or garbled in my good-faith recollection.

Here is what I recollect from our discussion:

  • Our biggest point of contention was about the black-box nature of Google’s approach to relevance. Bob was quite familiar with the analogy to security through obscurity, but he objected that, before the discovery of public key cryptography, security through obscurity was the best game in town. In other words, the folks working on relevance ranking algorithms are still waiting for the equivalent of Diffie-Hellman or RSA.
  • He rejected attention bond mechanisms as gameable, though I don’t recall any explanation as to why. It’s possible that he simply wasn’t familiar with them, and that my explanation didn’t do justice to the concept.
  • He insisted that I wasn’t giving enough credit to Google for its experimentation – specifically, that I underestimated how much variation there was in result ranking  based on the collection of simultaneous experiments running at any given time.
  • He  felt I was being unreasonable to expect Google to disclose more about its retrieval approach, not only because it would help spammers, but also because it would unnecessarily give users more to think about.
  • Finally, he felt that almost any clever idea would break down because of the combined constraints imposed by the hordes of spammers, the scale of the data, and the challenges of freshness.

Bob defended Google well, and I can’t say that either of us “won” the fight. Indeed, so much hinges on whether you can believe, as he does, that Google is only limited by what technology makes possible and what its engineers can implement. He rejects my assertion that Google’s has crippled the user experience because of some philosophical predilection towards black box approaches. In fact, he maintains that Google is incredibly open for a company of its size.

Unfortunately, the truth resides in the ultimate black box:  I can’t evaluate Google’s motivations from the outside. Bob invited me to work at Google to help solve the problem from the inside (I don’t think he meant that as a literal offer), but that not here or there. I think it’s only fair to judge a company from the outside. If Google wants to fix the misimpressions that I and others hold, it can certainly do so by providing more information. Absent such information from the source, I have to fall back on the public data and my powers of reasoning.

But let me say this clearly: I believe that most – perhaps all – Googlers mean well. Google’s China policy notwithstanding, I don’t think that Google is an evil company. On the whole, Google has done much more good than bad, and I believe that doing the right thing is a core company value, even if Google does not always live up to its aspirations.

My only problem is that, in the one area I’m most passionate about, it seems that Google is holding the world back. Google has become the legacy system that HCIR has to beat.

A parting joke, courtesy of Ken Ellis:

Q: What would Google do if they were a restaurant?

A: They would build a search engine and an internet ad auction system.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Great Recession: Things Are Different Now

6 Min Read

How to Retain Your Existing Customers with the Right Data

8 Min Read

Can Enterprise-Class Solutions Ever Deliver ROI?

8 Min Read

Give ‘em What They Need: Requests for a Data Model XSDs and DDL

10 Min Read

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

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

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?