We ensure a path of Applied Research, following the evolution of new algorithms, applying them in pilot projects, verifying their usability before adopting them in our solutions.
We provide Machine Learning Solutions able to solve problems of Classification, Prediction, Forecast, Clustering, Behavior, Natural Language Processing (NLP), in different industrial contexts such as IOT, Banking, Automotive, Energy.
We apply a rigorous and scalable approach in projects with a view to continuous improvement, verifying the maturity of the entire end-to-end ML process over time in terms of cost, process and results monitoring.
Team of Data Scientists able to create Models and Monitor the Service. Data Architect and MLOps Engineers to define the Architectures and Govern the ML processes in MLOPS.
The effectiveness of Neural Networks in Object Detection field
AutoML Training to the Business Customer to make it autonomous in the experimentation of Models via AutoML offered by Cloud Computing Services (Amazon AWS, Microsoft Azure, Google GCP)
Development of Machine Learning Models.
Consulting for the improvement of Business Processes.
Planning and Cost Management of ML Services in Cloud.
Implementation of specific ML solutions.
Data Visualization, Advanced Analytics.
Model Embedded, Integrating Models into Third-Party Applications.
Cloud Services, Microservices & Rest Services.
Lifecycle management of Machine Learning solutions both in Cloud Computing and On Premise.
Monitoring the Performance of Models in Operation.
The Challenge An important airport management company entrusted us with a project related to the analysis and understanding […]
The Challenge Today, modern “digital” banks in particular offer services such as “digital wallets with attached digital payment […]
The Challenge Today cars are equipped with electronic devices with GPS locator (black box) which allow to record […]
In this article, we report an excerpt from an experiment conducted in 2022 on passenger flow data at a nationwide airport's Point Of Interest.
This in-depth analysis introduces the theme of the "time-series" algorithms that are the basis of the concept of "forecasting"
As for many of the processes that have had a principle of innovation at the base, Machine Learning is also facing a path from a perspective of experimentation...