28 de March de 2017

Three Data Strategy Oversights – Part One

by Ziko Rajabali March 28, 2017 In the face of day-to-day operational concerns, it’s easy to adopt the mantra we’ll cross that bridge when we get there. There is wisdom to this philosophy: given limited resources, activities must be prioritized to attain success. But what do we do if the proverbial bridge doesn’t exist? Data is the raw material of the bridge to cross when we get there click to tweet that When that bridge is a strategic decision, it should be made out of data that spans successes and failures, seasonal changes, political and environmental cycles. This doesn’t undermine […]
21 de March de 2017

Why would IT need an old-time Puppet?

by Carlos Herrera March 21, 2017 In this ever-growing and ever-changing world of IT, one reoccurring question we ask is: How can we keep up with the constant changes in technology,  so we can focus our time where it matters most `for the organization? After spending countless hours troubleshooting in different technologies, operating systems, programming languages, etc. finding those nasty needles in all those haystacks, most often caused by human error, the same question kept coming back to my mind… why are we still depending on manual work when we are so deep into the so-called ‘Digital Era’? One of […]
21 de March de 2017

Big Data, a Peek Under the Hood

You Are Invited! Big Data has become a bit of a buzz word, but there is no doubt that the transformation of ‘data’ is giving businesses the cutting edge advantage that often translates to a healthier bottom line. In the coming era of data lakes and pervasive business intelligence, what can executives do now to be ready? Whether you have already begun your data journey, or are only recognizing the demand, this thought-provoking afternoon will educate on the possible potholes and roadblocks of supercharging your data.   Event Summary Big Data, a Peek Under the Hood, a ½ day multi-vendor […]
7 de March de 2017

De-mystifying Recommender Systems

by Patrick Cloutier March 7, 2017. When I first heard about machine learning, I wondered what happened behind the scenes for this to function. In this blog I try to explain what my logic is as we create a custom recommender on relatively straightforward concepts. We will be using Scala, and more specifically using the shell to run our commands. We will be looking at the data gathered from a movie site with user ids, user ratings and movies ids. The idea here will be to create a system that will try to “guess” the rating that someone will give a movie they haven’t seen. The […]