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
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Being human is hard
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 > Data Quality > Being human is hard
Data Quality

Being human is hard

StephenBaker1
StephenBaker1
4 Min Read
Being human is hard
Photo by chaplins77 on Pixabay (https://pixabay.com/photos/back-pain-massage-relaxation-2402708/)
SHARE

Everything I see is reminding me of my favorite Jeopardy player. This photo is from New York, Broadway in the 20s, I think. Note the snow. There are only traces of it left in the city, but here in the burbs it feels like a permanent part of the landscape.

I went into the city yesterday to talk about Watson with Ira Flatow for 20 minutes on NPR’s Science Friday. It was a great chat, but unfortunately for me–and happily for about 80 million Egyptians–it coincided with regime change. So I got pre-empted in a number of markets, including New York. Here’s the podcast.

Other media:

Matt Silverman wrote a piece in Mashable about Watson, and included a Q&A with me. (I typed the answers, which makes them a bit more coherent than, say, the word-by-word transcript of the Science Friday talk.)

More Read

Data Quality Magic
Data Quality Magic
Data Management and the Navy: The Navy Virtualizes
Redefining Loyalty Programs with Big Data and Hadoop
Why You Should Already Have a Data Governance Strategy
How the History of Data Gathering Lead to the Age of Big Data

Dan Sampson wrote a very nice review of the book on CultureMob. (It’s interesting to me that the blogs are happy to review the unfinished book, while mainstream publications seem to be waiting for the finished book to arrive (on Thursday) before deciding whether to review it. This reflects the difference between blogs and mainstream: One tends to focus on events as processes, the other as established facts…)

Laptop, a mobile tech blog, wrote about our partial ebook strategy. Kenneth Butler concludes:

Final Jeopardy
isn’t a perfect example of serialized eBooks because readers won’t be charged for the final chapter, but by peeking into the number of immediate purchases of the sans-epilogue version, we can gain some insight into whether or not installment reading can work for digital content. Pretty fitting that the discussion ends on a cliff-hanger.

Craig Wilson previews the match in USA Today. He quotes me in a classic hedge, noting that the machine is really fast in some categories, and confused in others.

Tom Nissley, the Amazon editor who won eight Jeopardy games last year, interviewed me for a podcast (which is posted on the book’s Amazon page). He also blogged a review on the Amazon site Shelfari. He writes:

The book is a fascinating glimpse into a high-profile technological sprint, and, for those of us who care, an equally interesting look at how to prepare for the game, if you are made of silicon rather than carbon (although carbon-based forms could likely learn a thing or two from the machine). I came away equally impressed by the brainpower and determination that went into building a machine that can play this very human game as well as any human can, and by the remarkable machines we already have in our damp heads, which can still (for a few months yet at least) hold their own against this closet-sized, parallel-processing juggernaut.

And one last article. I had the pleasure of speaking with Teddye Snell, a writer for the Tahlequah Daily Press in Tahlequah, OK. That’s the home of my wife’s twin, Jennifer Craver, and her husband, Larry Gipson, the basketball coach at Northeastern State University. Teddye, a Jeopardy fanatic from way back, wrote this article.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: A technology-editorial comparison of disconnected origination, servicing, and collections records dr
The Data Reconciliation Problem Inside Disconnected Lending Systems
Big Data Exclusive Fintech
Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
How an Online MBA in Marketing Connects AI and Data Analytics
Analytics Artificial Intelligence Big Data Exclusive
Flat editorial illustration: The article connects commercial drone capture with integrated software workflows that organize and r
Drone Technology as a Business Investment: Calculating ROI, Costs, and Long-Term Value
Business Intelligence Marketing Software
Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Emotion Reading Technology Matures
Data QualityData VisualizationSentiment Analytics

Emotion Reading Technology Matures

4 Min Read
Design Goals for Developing Distributed Applications
Data QualityData Visualization

Design Goals for Developing Distributed Applications

9 Min Read
How to Get Started with Value Add Forecasting
AnalyticsBest PracticesBusiness IntelligenceData ManagementData QualityData VisualizationDecision ManagementModelingPredictive AnalyticsRisk Management

How to Get Started with Value Add Forecasting

6 Min Read
A Data Catalog Makes Quick Work of GDPR Compliance
Data ManagementData QualityData WarehousingPolicy and Governance

A Data Catalog Makes Quick Work of GDPR Compliance

4 Min Read

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

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?