Archive for innovation

Real-Time Ad Market: From $2 Billion to $9 Billion

Image of real time bidding: timer, megaphone and banner

RTB and guaranteed delivery

Below is the words cloud of the full article from adage.com: How the Real-Time Ad Market Grows From $2 Billion to $9 Billion

RTB growth (words cloud)

RTB growth (words cloud)

 

 

Music, big data, and social media

Music, big data, and social media

building a more intimate community of a million of the most loyal “little monsters” is worth a lot more in dollars and publicity than tens of millions of Twitter and Facebook contacts.

Below is the words cloud version of the original article posted on South China Morning Post: The Brain Behind Lady Gaga’s Big Data

Word Cloud: music, big data, and social media

Word Cloud: music, big data, and social media

 

 

This Infographic Shows Why Google+ is a Ghost Town

Interesting post about how google+ compare vs the other main social networks. Full article: http://mashable.com/2012/08/08/infographic-google-plus-ghost-town/

Marco De Cesaris – what my colleagues think about me

Marco De Cesaris - what my colleagues think about me

The below words cloud was built according to the public feedbacks provided by my colleagues and appearing on my linkedin profile and yahoo internal system.

This is how it was built:

 

1. all the feedbacks were collected;


2. all the “feedbacks text” was copied and pasted into “content analyzer” (a tool that i built few years back while at university).

3. all the words appearing in the feedbacks were automatically weighted through content analyzer associating frequency to each single word.

4. in order to graphically build the words cloud, the results from content analyzer were copied and pasted directly into wordle.

5. below is the result :)

Source: public recommendations from Linkedin and YahooMarco De Cesaris - what my colleagues think about me

Marco De Cesaris - what my colleagues think about me

Marco De Cesaris – Cloud CV 2012

Cloud CV Expertise 2012 - Marco De Cesaris

The below words cloud was built according to my CV.

This is how it was built:

 

1. all the words appearing in the cv were copied and pasted into “content analyzer” (a tool that i built few years back while at university).

2. all the words appearing in the cv were automatically weighted through content analyzer associating frequency to each single word.

3. in order to graphically build the words cloud, the results from content analyzer were copied and pasted directly into wordle.

4. below is the result :)

Cloud CV Expertise 2012 - Marco De Cesaris

Marco De Cesaris CV Expertise 2012