Data Analytics, more specifically, prescriptive analytics are recommendations derived from mathematical computations. Recommendations are based on behaviors and needs in a particular context. Context is king in my book, and knowing context allows systems to produce personalized recommendations.
While sitting in a café in Portoroz, Slovenia last week, I was struck by the almost contradictory situation I was in. Similar to the environment – the beach and sunset reflecting in the water of the Mediterranean Sea – but simultaneously tackling new achievements and major issues with worldwide experts – very demanding on one hand and very relaxing on the other.
By now, you’ve most likely heard the term “Mobilegeddon.” If you haven’t, it refers to Google’s April 21st search algorithm update where search rankings now favor mobile-friendly websites on mobile devices. In other words, if your business does not have mobile friendly websites, it will get pushed down on Google’s mobile search results. This is one of the most sweeping changes (for all Google users in all countries and in all languages) in the SEO world. Read further >
We’re a big company. Once a small bookshop and another publishing house, somewhere in the north of Netherlands, we are now a global company in over 140 countries (our Wikipedia page has the full narrative). Read further >
What do we mean by Machine Learning anyway? To the layperson it probably means machines than can learn, ascertain, understand, discern or infer. To my millennia, it means the movie iRobot and the fantasy of machines taking over the world. Here is my practical view on this topic.
In 1988 when Mark Weiser first articulated the concept of Ubiquitous Computing, I wonder if he had sensors and wearables in mind? Ubiquitous computing, sometimes called the age of calm technology refers to the era where technology is pervasive or omni-present in our lives, but not dominant. Instead, ubiquitous computing is about technology that recedes to the background. This is where “wearables” will rise!
Artificial Intelligence (AI) has not yet reached a fundamental breakthrough. So far, I see progress in many areas, but somehow it is a horizontal development, as if something cool is still out there waiting to be discovered.
The Seven City Tour of Google’s Advisory Council ended in October 2014. The next three months were spent drawing up an advisory report. However in December 2014, the Article 29 Data Protection Working Party advocated an adjustment of the May 2014 ruling. Their advice was to extend the Right to Be Forgotten to Google Global instead of Google Local. It seems that the Advisory Council’s report which still needed to be released was being by-passed. Read further >
I had the privilege and pleasure to be present at one of these rare occasions.
Experts from different domains, personal histories, and backgrounds will work together in the coming years. They all push toward making the creation and maintenance of data-intensive systems and applications more efficient.
Or to put it simply: ALIGNED was born!
There were a couple of events that I consider a BFD in 2014. The advancements being made with the “supercarbon” Graphene is one, legalization of marijuana in some states in the United States another, and of course my son graduating from high school. Well, a big deal for my wife and me anyway. Another observation that I would categorize as a big deal was the dramatic advancements in Digital Media. And in 2014, it accelerated because of the convergence of technology, innovation, and the user base.