World’s Biggest Data Breaches Visualized
Big Data
Can Someone Please Explain Humor to Amazon
I’m calling B.S. on A.I. by Aki Ranin
Algo is not A.I.
The reason a lot of these companies are tagging their selfies with #machinelearning is that they have some cool algorithm. Sweet I.P. bro! News flash: algos are not intelligent. Algos take in data that you hand-picked, and probably pre-formatted, complete some operation you specified explicitly, and produce results which are predictable.Intelligence is not predictable. Intelligence does whatever IT thinks is best.
Source: I’m calling B.S. on A.I. by Aki Ranin | LinkedIn
60 Seconds on the Internet: 2016
Twitter Data Visualized for #GameofThrones Usage
How every #GameOfThrones episode has been discussed on Twitter
Read on to learn about how we built this visualization, and what we’ve learned about Game of Thrones—and its fans—from it. And for any of you who aren’t caught up… Warning! The rest of this post contain spoilers from Game of Thrones.
Explore this #GameOfThrones
interactive visualization to see how the audience relates to the characters relate and them to each other, their popularity & emojis used about them helps track certain sentiments.
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Nate Silver unloads on The New York Times
To those with their ears attuned to fissures in the media world related to data journalism, the use of the word “data” was pointed. That, plainly, was what Silver responded to. The site’s election podcasts generally feature Silver and several other of the site’s election team discussing the race, with particular attention paid to polls.
Do algorithms marginalize our lives and choices?
Investigating the algorithms that govern our lives
As online users, we’ve become accustomed to the giant, invisible hands of Google, Facebook, and Amazon feeding our screens. We’re surrounded by proprietary code like Twitter Trends, Google’s autocomplete, Netflix recommendations, and OKCupid matches. It’s how the internet churns. So when Instagram or Twitter, or the Silicon Valley titan of the moment, chooses to mess with what we consider our personal lives, we’re reminded where the power actually lies. And it rankles.
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The dark side of Guardian comments
How should digital news organisations respond to this? Some say it is simple – “Don’t read the comments” or, better still, switch them off altogether. And many have done just that, disabling their comment threads for good because they became too taxing to bother with.
But in so many cases journalism is enriched by responses from its readers. So why disable all comments when only a small minority is a problem?
At the Guardian, we felt it was high time to examine the problem rather than turn away.
+NOTE: some really great interactive visualizations go along with the data accompanying this article at the link below:
Source: The dark side of Guardian comments | The Guardian
Billion NYC Taxi+Uber Trips
1.1 Billion NYC Taxi and Uber Trips analyzed and visualized
An open-source exploration of the city’s neighborhoods, nightlife, airport traffic, and more, through the lens of publicly available taxi and Uber data.Images are clickable to open hi-res versions.
Source: 1.1 Billion NYC Taxi and Uber Trips analyzed and visualized | DataViz
New York City has more Uber cars than yellow taxis—14,000
Big Data + Business Intelligence = Big Intelligence?
Turning raw data into actionable insights has been the goal of many a business since the 1990s. Back then, ‘business intelligence’ was the buzzword, and since the tweenies and teenies it’s been ‘big data’. Now the two are combining (‘Big Intelligence’, maybe?) as the promise of big data is finally capable of delivering the business intelligence that companies have long dreamed about. Read More
Customer Relationship Goals
Summary: A good friendship or romantic partnership takes work. The same goes for customer relationships. Today’s consumers are looking for brands with experiences that feel personalized and effortless and will last long beyond the transaction. Great customer service keeps your customer relationships strong. And it can keep the love (of your brand) alive.
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What or Who Killed The Infographic?
Today, you’d be lucky to find a cheap knockoff in a world dominated by crappy promotional infographics churned out for viral attention. Nicholas Felton, the data viz guru who once designed Facebook’s Timeline, now builds apps. Jer Thorp is as interested in reverse-engineering algorithms and data art as he is in producing pure data visualization. Even the infographics on the portfolio-sharing site Behance are on the downswing. “Infographic posting generally rose steadily from 2007 to 2012, where it peaked, and has begun to decline since then,” Sarah Rapp, Head of Behance Community Data & Insights, Adobe
Source: What Killed The Infographic? | Co.Design
Weekly Must+Reads
Weekly Must+Reads: Friday 13th Edition
Short: Freebooting | Medium: Women as IoT | Long: Living & Dying in AirBNB
_above are links to the reading lengths of the various articles/links below_
Weekly Must Reads
What is Hadoop? [Infographic]
All About Hadoop:
This Infographic Explains How it Works from DataViz
Originally posted on Udemy. It explains the concept, alternatives and career advice.
Source: What is Hadoop? Great Infographics Explains How it Works | DataViz
How Big Data Drives Digital Marketing Success
Six Sources of Big Data:
The information being generated from Big Data can be segmented into six specific categories:
- Web Mining: Data compiled by mining the open web. This includes automated processes of discovering and extracting information from Web documents and servers, including mining unstructured data. This can be information extracted from server logs and browser activity, information extracted about the links and structure of a site, or information extracted from page content and documents.
- Search Information: Data available as a result of browser activity tracking search and intent behavior. This data also identifies digital audiences through onboarding (matching consumers to their online IDs)
- Social Media: The average global Internet user spends two and a half hours daily on social media. A vast array of data is available on personal preferences, likes, “check-ins,” shares, and comments users are making.
- Crowd Sourcing: This is collective intelligence gathered from the public. Data is compiled from multiple sources or large communities of people, including forums, surveys, polls, and other types of user-generated media.
- Transactional: Data that is created when organizations conduct business, and can be financial, logistical or any related process involving activities such as purchases, requests, insurance claims, deposits, withdrawals, flight reservations, credit card purchases, etc.
- Mobile: Mobile data is driving the largest surge in data volume. It isn’t only a function of smartphone penetration and consumer usage patterns. The data is also created by apps or other services working in the background.
Source: How Big Data Drives Digital Marketing Success | Big Data News
Big Data Myths and Facts
Big Data holds great promise for enterprises of all sizes. Read More
Big Data in 2014
An infographic from Aureus Analytics about the top trends in big data, analytics and analytical models that are defining trends of analytics today and are likely to have a significant influence in 2014 and future course around the globe.
Source: Big Data in 2014 | iNFOGRAPHiCs MANiA
The Growing Trend of Integration Platform as a Service (iPaaS )
There is a category of vendors on the rise in the API space; Integration Platform as a Service (iPaaS). The term is fairly new and there is some debate as to the definition and features of vendors that would be classified in the iPaaS category. This post is an overview of iPaaS and features several vendors that offer iPaaS solutions. Read More
GLEAMsocial 