'D' of Things

Image by Penn Sate IBM’s recent announcements of three new services based in Watson technology make it clear that there is pressure in the enterprise software space to incorporate new technologies, both in hardware and software, in order to keep pace with modern business. It seems we are approaching another turning point in technology where many concepts that were previously limited to academic research or very narrow industry niches are now being considered for mainstream enterprise software applications. Machine learning, along with many other disciplines within the field of artificial intelligence and cognitive systems, is gaining popularity, and it may in the not so distant future have a colossal impact on the software industry. This first part of my series on machine learning explores some basic concepts of the discipline and its potential for transforming the business intelligence and analytics space. So, what is machine learning anyway? In simple terms, mac

There is a first time for everything... at least, that’s what my father used to say, and sometimes he was right. As I have been blogging for quite some time for my employers or through other channels, I think the time has come for me to have a personal blog that allows me a bit more freedom to explore what might be closer to my personal interest, where I can let go a bit, and include a deeper (or not) and personal view on topics concerning data: Data in its several forms, with multiple layers, and from many perspectives. From traditional databases to new databases, from small to big data, simple to complex events. Intelligent and not so intelligent data. Hello to the Data of Things! I want to start with the iconic Hello World! phrase because it marked one of the most important moments in my career in IT. The phenomenal book written by Brian W. Kernighan and Dennis Ritchie called “ The C programming language ” was my introduction to the world of C and UNIX, which led, eventuall