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.
To this purpose, we provide our methodological approach to support the customer in all phases of the end-to-end Machine Learning Cycle.
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 […]
The Challenge In financial services, as in other industry contexts, the transformation process towards an Ai-driven company is […]
In this article we want to explain in detail how companies can become AI-driven according to Humanativa Group.
Data democratization refers to the practice of making data accessible and usable by a wide range of users...
Humanativa Group is among the Italian and European companies chosen by the University of Rome to participate in […]
GANs are part of the generative neural network models. A genetic algorithm is an example of an “evolutionary […]