Category: IO Impotency

A Look at Bing vs Google

Over at Search Engine Watch, Mark Jackson reminds us that Google was not always top dog in the search field. His article, “Could Bing Ever Overtake Google in Search?” emphasizes that competition is a good thing. While this is true, could the SEO CEO have any other reasons to hope for the search giant’s wane? Vicious pandas and penguins, perhaps? After all, Jackson opens with an admission that he is angry at Google for ceasing to push keyword data into the public realm (where search engine gamers, er, optimizers can get to it) while continuing to supply that data to paid advertisers. The nerve!

Jackson does make some interesting points. He cites a recent Pubcon keynote address given by Google’s own Matt Cutts, which discusses some major developments for the leading search engine. Knowledge Graph, of course, will continue to play a role, as will voice search and “conversational” search. Jackson picks up on Cutt’s last item, “deep learning.”

He writes:

“Google is focused on deep learning and understanding what users want so searchers don’t have to use simple keyword phrases to search Google. Bing, on the other hand, has partnerships with every major social site and receives data directly from those sources. So, rather than trying to understand what users mean and predicting it, Bing actually knows what user want based on actual data from social sites.”

Continue reading “Stephen E. Arnold: Bing versus Google”

Madsen: Low-Tech and Cheap Solutions to Getting Around NSA Surveiling in Africa

Africa: The Forgotten Target of NSA Surveillance

Data Science Explained With an Infographic

Data Science is a hot career. Even though data scientists have been around for decades, but it is only the proliferation of new devices and data streams that have brought the career to the Internet spotlight. Data Science is more than monitoring reports about data or even the big data revolution. Data Science is an intricate and interesting science and to understand it better check out the Visual.ly infographic labeled: “Data Science: More Than Mining.”

The graphic explains that data science has exploded:

“Proliferation of sensors, mobile and social trends provide explosive growth of new types of data. Data scientists are creating the tools that can be used to interpret and help translate the streams of information into innovative new products. Social media platforms such as Facebook depend on data science to create innovative, interactive features that encourage users to get interested and stay that way.”

The basic of data science are data mining, statistics, interpretation, and leveraging. The data scientist interacts with the data by asking questions about how to apply the information in new ways and better the process. Data scientists are hardly people off the street, they require the skills of hacker, mathematician, and an artist. Mixing all those together goes makes a data scientist a very diverse person and able to see how to apply the data in new, unknown ways. It is amazing how data science has shaped society from behind the current since 1790.

Whitney Grace, November 08, 2013

Sponsored by ArnoldIT.com, developer of Augmentext

Continue reading “Stephen E. Arnold: Data Science Explained With an Infograpic [Science without Art Tends to be Stupid]”