In the last years we have experienced an explosive growth of mobile multimedia applications. In these applications, images are very important and play a more and more important role in sharing, expressing and exchanging information in our daily lives.
Accompanying this revolution, mobile handheld devices with different capabilities are undergoing a considerable progress because of their portability and mobility. Now we all can easily capture and share personal photos on these small-form-factor devices anywhere and anytime (that’s why the success of user-content generated platforms like flickr or Instagram).
We are all Internet users. Huge amounts of data is now available with an exponential growth in the last decades. Hundreds of hours every month spent in browsing and in searching activities. It often seems to me as a battle when driving myself to the interested final page without being interrupted by advertisements, pop-ups, banners, dialogue windows, feedback requesting, filling forms, non-relevant pages and obsolete information. However, we all accept it every day resigned to the fact that this is the norm in user interface experiences (and then we read articles about applying excellence in UX). A kind of feeling similar to being abandoned but also conscious that nothing else could help us.
In fact, not a person, but an algorithm could. Yes, as we read from news, everything on the Internet is a mix of the human and inhuman and automated algorithms play a very big role in some services. One of these services is the recommender system or the recommendation engine. I will face this issue just in a moment.
The rise of the Internet (and so, the Cloud-based services) and other technological innovations have dramatically revolutionized the way we live our lives, and especially the way in which we consume media.
The television industry, which has been a model for stability and success since the Fifties (let think about the American example), is now under intense pressure to maintain its revenue streams and margins in the face of Internet-based competition.
Although I terminated my academic career years ago, I confess I always preserve a very special attention and enthusiasm in academic researches and initiatives. Usually, the best way to achieve this is to take part personally in University seminars and workshops and sponsor the introduction of such events in all levels of public education. We all hear nowadays the problem of few females who register to Computer Science or generally, less people like to code.
However, I think women do have a more intuitive approach when leveraging the power of developing a product or providing a new service.
All of my friends and colleagues know or at least have heard about the term Cloud Computing. Although I have discussed deeply in many other articles and past tweets about the definition of this nowadays “modern” concept, why is the need for Cloud Computing so emerging in these recent years, remains a question without answer for many people.
In this post I try to identify the roles of potential digital transformers who could start to consider the introduction of Cloud Computing within the main or traditional business (analysts, managers, knowledge keepers, innovators inside an enterprise).
There is no doubt; the word bumping inside my head in the last year was “Automation”. Automate everything; being obsessed with repeating tasks over time in the IT Operation context is crucial in having success when building a stable and well-thought infrastructure.
But, what is behind process automation, or simply managing IT Operations and configurations?
Illustration: Example of ticket management insights in Splunk when used to collect and analyze such data
My role in past organizations has always been that of a sort of jolly, transversal, with a 360-degree view around what happens in today’s digital agenda. I have preferred to keep a consultancy style while getting my own hands dirty in the developing steps of a typical IT project.
These last two years I have had the opportunity to take part in many processes of transformation in different SMB (Small and Medium Business) handling topics of digitalization, change management, analytics, and data-driven strategies. However, my perception is that of a gap between what these organizations can realistically implement and how they behave to achieve this.