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
    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 and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Everything is a Platform
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 > Everything is a Platform
Uncategorized

Everything is a Platform

Daniel Tunkelang
Daniel Tunkelang
4 Min Read
SHARE

I spent all day Friday learning how the New York Times aspires to become a platform for a brave new world of online news (though they’re still figuring out how to handle user-generated content). Meanwhile, every social network hopes to be *the* platform for social media, be it Facebook, Twitter, or LinkedIn. To be clear, it’s not just that platforms are the new black; rather everyone wants to control whatever is left after Google has exercised its droit de seigneur as the gateway to online information.

The latest entrant on the aspiring platform front is Wikipedia, at least according to Marshall Kirkpatrick at ReadWriteWeb. In a post entitled “Could Wikipedia’s Future Be as a Development Platform?“, Kirkpatrick suggests:

Wikipedia can offer developers opportunities to glean analysis, suplemental content and structured data from its years old store of collaboratively generated information.

He also observes that:

More Read

The Missing Pieces of Master Data Management Services
Book Review: Googled by Ken Auletta
Are you a CTO? Do you use Twitter? See CTOlist.com
Will 2016 be the Year You Clean up Your Dirty Data?
Big Data Analytics: 9 Easy Steps to Unlock Breakthrough Results

There is no formal Wikipedia Application Programming Interface (API) but the data there is relatively accesible anyway. It can be downloaded and proccessed locally.

Having worked with Wikipedia data, I think that access via download is actuall…

I spent all day Friday learning how the New York Times aspires to become a platform for a brave new world of online news (though they’re still figuring out how to handle user-generated content). Meanwhile, every social network hopes to be *the* platform for social media, be it Facebook, Twitter, or LinkedIn. To be clear, it’s not just that platforms are the new black; rather everyone wants to control whatever is left after Google has exercised its droit de seigneur as the gateway to online information.

The latest entrant on the aspiring platform front is Wikipedia, at least according to Marshall Kirkpatrick at ReadWriteWeb. In a post entitled “Could Wikipedia’s Future Be as a Development Platform?“, Kirkpatrick suggests:

Wikipedia can offer developers opportunities to glean analysis, suplemental content and structured data from its years old store of collaboratively generated information.

He also observes that:

There is no formal Wikipedia Application Programming Interface (API) but the data there is relatively accesible anyway. It can be downloaded and proccessed locally.

Having worked with Wikipedia data, I think that access via download is actually a better option than access via an API, particularly since most APIs come with parsimonious rate limits, e.g., 5,000 requests per day for the New York Times APIs. Indeed, the overwhelming majority of New York Times article data *is* available for download, albeit only under non-commercial licensing terms.

In any case, it’s interesting to see the rush to transform everything–but particularly content–into a platform. I can only imagine the marketing geniuses getting ready for platforms of platforms. Of course, what we really need is for all of this information resources to play together nicely enough that we can seamlessly integrate them into applications (yes, that’s what platforms are supposed to help you build!) without worrying which of them are platforms.

Out of the platform frying pan and into the SOA fire…

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Workplace surveillance: Get used to it

3 Min Read

Going For Growth…In China

7 Min Read

Even More Ridiculous IT Service Desk Requests [INFOGRAPHIC]

6 Min Read

Improving Communication on Data Governance Teams

5 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
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?