Sunday, August 12. 2012
Link roundup, week 32/2012
-
A Strategic Mistake With Big Data — International Institute for Analytics
-
-
That mistake is the development of a siloed, distinct big data strategy
-
strategy for big data is a new facet of their overall enterprise data and analytic strategy
-
the mess that many multi-channel retailers got themselves into through their entry into e-commerce
-
retailers launched distinct e-commerce divisions. Some were even separate legal entities. As opposed to viewing e-commerce as a new facet of an overall retail strategy
-
distinct processes and distinct infrastructure was created
-
provide a consistent experience for customers across channels
-
go into a store and grab a product and then find that same product on the retailer’s website. Guess what? They have no way to match those products
-
separate, non-integrated strategies for big data will likely end up with systems and processes that are very difficult to integrate
-
integrate big data into the overall infrastructure and current and future analytic processes
-
-
Machine learning system can ID cities via pics | Cutting Edge - CNET News
-
The system automatically picks out relevant architectural details from photos
-
the details woven into the urban fabric that form a pattern
-
computers are learning to ID your city just by looking at random photos
-
Google Street View images of Paris, London, New York, and Barcelona
-
features like the street signs, balconies, and lampposts of Paris to be distinct
-
lack of stylistic coherence in American cities
-
presented at Siggraph 2012
-
emerging field of visual data mining, which is more complex than looking for patterns in text or numbers
-
Alexei Efros
-
we wish to automatically build a digital visual atlas of not only architectural but also natural geo-informative features for the entire planet
-
-
Interviewing data scientist candidates? Ask these questions
-
“It’s way over-hyped,” said Franks
-
chief analytics officer for the data warehouse appliance vendor Teradata
-
“softer skills.”
-
“data artist.”
-
data scientists are those that are able to understand the business problem; they’re able to apply creativity and present the results well
-
intuition, which is hard to teach
-
five core areas I look at
-
Commitment
-
1.
-
-
Creativity
-
2.
-
-
thought process they went through deciding what to do. Someone who’s not creative is going to give me a list of the steps they went through one-by-one more from a technical perspective
-
Business savvy
-
3.
-
-
what I want to hear is not just some technical reasons
-
Knowing how much information to give to the non-technical people
-
Presentation
-
4.
-
-
specific presentation as part of the interview process
-
intuition
-
5.
-
-
art or music or some other type of creative area
-
Continue reading "Link roundup, week 32/2012"
Categories
Follow me
