Data analysts are often confronted with a seemingly difficult decision: to choose between a simple model or a more complex one. Discover more in this post in which Carlos del Cacho explains the unexplainable.
With this article, we want to start a series of posts on how to use Stratio Data Centric to solve problems that involve the analysis of large graphs.
We’re always hearing technology companies claim that the future lies in becoming a data-driven organisation. But what about the data-centric approach? Is the journey the same as towards a data-driven approach? Is the result the same?
The key to the success of these methods lies in the rich representations these models build, which are generated after an exhaustive and computationally expensive learning process. Deep learning is starting to become essential to specialized areas of business. Nonetheless, it is not the panacea…
Data has become for many companies their most important asset. Ensuring quality of the information, as well as carrying out a proper management and governance of the data, is absolutely essential.
It all started with a call from Adrián Arias, Enterprise Relationship Manager at LinkedIn: “Congratulations Stratio, you are one of our finalists to the “Premios IN”, nominated in the Best Recruitment Team category, only a 5% of our clients make it to the nomination.”