Ever since I came here, I decided to start using all the available services to manage my money: pay at the supermarket with my phone, send money abroad, micro transactions with friends or pre ordering an espresso from my phone, were things that I was looking forward to.

Hace pocas semanas leí uno de los reportes más completos que he visto sobre tecnología en Europa.

Una de las cosas más me gustó de Internet desde el primer día fue la transparencia que presentaba. Desde un punto de vista profesional, herramientas como Google Analytics o Adwords me entregaban tantos datos que al comienzo me mareaba.

Una conversación sobre innovación abierta y la mentalidad hacker.¡Gracias por la invitación DevAcademy!

Una de las primeras anécdotas que IBM cuenta sobre el uso apropiado de datos en el marketing (el mal nombrado big data) cuenta la historia del padre que se enteró que sería abuelo cuando recibió un catalogo para recién nacidos cortesía de Target (el retail de Estados Unidos). Su hija aún no le contaba.

Today I had the chance to give a small lecture during the "Semana de las Comunicaciones" here in Chile. I decided to talk about one of the subjects that I enjoy the most: data manipulation.

Quick wins are nothing but simple frontend changes you make to your website in order to create impact on the conversions of your website.

Siempre recuerdo una de las tantas frases célebres que Henry Ford nos regaló. Si bien no soy capaz de citarlo textual, Ford decía algo como “no debes saberlo todo. Pero si debes conocer a quién sabe hacerlo”.

Well, sometime during 2013 and 2015. And it's all because Samsung.

And not only that, but I just can't belive how Apple is going "mainstream" while Samsung is princing higher every year. Roles are inverting and in the meantime, we are paying more for a phone than a laptop. Crazy world.

Desde que compré el iPod hace ya varios años caí en el hechizo de la compañía de Cupertino. Nunca volví a salir del jardín cerrado que Jobs creó tan cuidadosamente.

I had the opportunity to spend one whole (intense) day with professionals from all over Europe in the IBM Research Center in Dublin. The main guess? Watson. The idea was to introduce Watson to a selected group of institutions and start developing awareness and interest around this game changer. In this brief post, I will try to explain how Watson works and how could it change the way we relate to data.

After every meeting, every conversation, every book or article I read, I can’t help but think about the challenges every industry face.

The use of huge amounts of “unused” data (structured, unstructured and semi-structured) in order to be applied in BI (business intelligence); you know, the right decision taken by the right people at the right time

I started reading a quite interesting book (Fool’s Gold) on the economic meltdown that JP Morgan and other financial institutions triggered in the mid 90’s. The credit swap basically destroyed the world economy and left scars that still have repercussions. Not even corporate governance could regulate a grey area that was absolutely “invented and adapted” to a new scenery that only wanted to bring a new fixed income to the Bank. Everyone fell, even all those that came later into swap craze: Citigroup, UBS, Deutsche Bank, and the thundering herd at Merrill Lynch.

This week, we had the chance to enjoy a 2 days workshop with IBM’s leading data scientists. The whole experience had highlights and things to improve, however, it was quite interesting to reflect on how information (text or numerical) its improving the way we live and mainly do business.