Office events and activities, internal training, reward and recognition programs… are just some of the benefits that help to make employees happy and that improve and contribute to a strong employee engagement. All of this plus the shared values and attitudes create a Positive Corporate Culture. At Stratio, our values and people are vital and define our amazing culture. Discover all and more about Stratio’s culture!
Artificial intelligence (AI) is very quickly expanding in the healthcare industry. AI’s primary role has been to automate processes to make it easier for employees to work on more complex people-related concerns. Yet as the technology develops, Healthcare Central reports that AI is also being used as a diagnostic tool. With a faster, more accurate way of detecting illnesses, and administering treatments, the mortality rate could be significantly reduced. This includes the treatment of conditions like cancer.
“A chain is only as strong as its weakest link” – English proverb
There is one striking element that does not seem to have been addressed as a common purpose between business teams and IT teams when confronting Innovation or Digital Transformation roadmaps… A Data Management Strategy.
Did you know that the word “hippopotamus” is a word of Greek origin? Hippos- comes from “horse” and -potamos means “river”. The funny thing here would be to imagine when Greeks run into this animal for the very first time. There was not a word for every single animal around the world, so they probably thought something like “what a strange horse…!!! Maybe the river has something to do with it. Got it! It will be a hippo-potamus!”
This is the second post of our Wild Data series. In this post, we are going to expose how to transfer style from one image to another. Here, the most interesting point is to know that we won’t use a neural network to classify a set of classes as usual. I mean, we don’t need to train a network for a specific approach. Transfer style is based on pre-trained networks such as it could be a VGG19 trained with ImageNet (one million of images). Thus, a good understanding of transfer style will help you to better understand how convolutional neural networks works for vision. Let’s go on!
Let’s imagine that you want to buy a new car, and you fall in love with this new car’s brand. Because you really want that car, the car’s brand comes out everywhere in your daily life, even though the amount of these cars remain the same. Our brain is trained to focus on what it wants to see.
Have you ever watched the cooking teaching shows? You have probably noticed that chefs have usually already all the ingredients separated and chopped. A chef probably will be more useful and creative cooking rather than spending time peeling and chopping potatoes, even though it is still important in the recipe. Likewise, a data scientist will be more useful and creative building models rather than spending time with data preprocessing. In this way, where a chef would prepare exquisite delicacies a data scientist prepares succulent models.
This is the first of a two-part series dealing with the application of statistical tests for the formal comparison of several Machine Learning (ML) algorithms in order to determine whether one generally outperforms the rest or not. In this first chapter, we explain the fundamentals of statistical tests, while in the second part, we examine how they are applied to ML algorithm performance data with the aim of comparing them from a statistical point of view.
Stratio has created a new user interface that allows you to work without writing a single line of code, which means that no programming skills are needed nor to use advanced technologies such as Spark, Scala, HDFS, or Elasticsearch. Developers, Architects, BI engineers, data scientists, business users and IT administrators can create data analytics applications in minutes with a powerful Spark Visual Editor. Welcome to Sparta 2.0, a brand-new version of Sparta born with the forthcoming release of the Stratio Data Centric Platform.
A data-driven or data-centric company?
We’re always hearing technology companies claim that the future lies in becoming a data-driven organisation: “Five steps to becoming a data-driven company”, “Build a data-driven business”, “Becoming a data-driven enterprise takes dedication”, “Apache Hadoop and big data platforms for a data-driven enterprise.”…