Machine Learning
Humanativa provides its Competence Centre to support the reorganisation of customer processes.
Solutions and Applied Research
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 follow an Applied Research approach, following the evolution of new algorithms (Deep-Learning, Image Recognition, Voice Recognition, Natural Language Processing NLP, etc …) applying them in pilot projects, verifying their usability before adopting them in our solutions.
Machine Learning Maturity Model
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.
We apply methodology and expertise to manage the entire End-to-End ML process:
- Develop ML models
- Manage the ML process (MLOPS)
- Manage ML costs over time
Data Science
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.
Machine Learning in Cloud Services products (AWS SageMaker, Azure Machine Learning, Google GCP AI Workbench).
Languages and Libraries: use of Python and the most popular open-source libraries such as Pytorch, TensorFlow or Scikit-learn.
Using Scala/Spark for distributed processes.
Technology
Expertise & Certifications
Expertise
We have expertise in the following relevant fields:
Data Scientists for Model Development using Model Building Services
MLOps Engineers & Data Scientists for the Governance of the ML Process with MLOPS tools
Business Analyst & Data Scientists to accompany the Customer in the use of AutoML solutions
Certification
We are certified on the three major Cloud Service providers
We are also able to govern proposals in Hybrid Cloud as well as On-premise
Machine Learning Services
Training
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).
Humanativa Solutions Training to the Customer on the use of specific ML Solutions (Data Visualization, Advanced Analytics, ML Solutions by Humanativa).
Best Practices for Monitoring the ML End-to-End Service (MLOps).
Consulting in Data Science
Development of Machine Learning Models.
Consulting for the improvement of Business Processes.
Planning and Cost Management of ML Services in Cloud.
Decision Support.
Innovation Projects, Pilot, Proof of Concept (P.O.C.) to adopt new AI & ML Techniques.
Advanced Analytics
Implementation of specific ML solutions.
Data Visualization, Advanced Analytics.
Model Embedded, Integrating Models into Third-Party Applications.
Cloud Services, Microservices & Rest Services.
MLOPS
Lifecycle management of Machine Learning solutions both in Cloud Computing and On Premise.
Monitoring the Models Performance in Operation.
Model Re-Training.
Support for Machine Learning tools of Cloud Computing Service Providers (Google GCP, Microsoft Azure, Amazon AWS).
Visit our Machine Learning and Artificial Intelligence dedicated website
