Automation of environment deployment for data scientists. Teams of scientists and data experts require configurable and scalable environments. Cloud Environments provide data access and storage capabilities for exploitation by BI tools and ML applications.

The first step in successfully exploiting the data through Artificial Intelligence is to investigate it in depth. We’ll help you to analyze the quality, completeness and dispersion; while at the same time deepening the relationship to move closer to the business hypotheses mentioned above.

Statistical techniques allow us to go beyond visualization and find hidden relationships between all of the data set variables and key indicators identified for the business or processes.

Applying machine learning techniques allows hidden patterns in information to be identified. We apply these patterns to new information to infer or predict behaviors, values or classifications in an automated fashion and therefore optimize processes and costs, or generate new revenues.

Discipline within Machine Learning whose techniques are particularly useful when processing unstructured data such as when in text or images/video. Applying them enables us to streamline processes that were previously carried out manually or supervised by people.

Use of devices such as cameras and industrial servers to run models by locally performing inference without uploading data to the cloud and with significantly reduced latency. Device installation and automation of model deployment on these devices.