Stay Ahead of Industry Change
Do you want to accelerate the AI transformation journey of your business, but don’t know where to begin?
Get started with ML cube
Identify use cases that can impact your business. Analyze the value of each cases. Prioritize your use cases.
Most machine learning algorithms require data to be formatted in a very specific way, so datasets generally require some amount of preparation before they can yield useful insights.
With our in-house team of AI consultants, we work across the entire stack, with an end-to-end approach, to develop AI-powered systems for the customers, and guarantee the maintenance of high standards performance of their systems over time.
We've got it all covered
Our in-house, collective skillset and experience allow us to develop AI projects end-to-end: we will take care of your entire project from business framework to KPIs, from data preparation to scalable deployment and production.
Scoping & Architecture Design
Project Setting & Governance
Data Collection & Storage
Our Project Management
- Requirements analysis
- KPIs design (metrics & measures)
- Critical issues Identification
- Data set extraction and analysis
- Alignment with IT and Business regarding normalization strategies
- Accuracy report processing
- Software Development and setting
- Role-based access control or role-based security
- Check KPIs results
- Identification of improvements and new features
- Use case description
- Dataset report
- Requirements report
- Accuracy report
- SW technical documentation
- Overall scenario report
- KPI results and appraisal
- At every stage of the journey, we will formalize every decision, objective, analysis and result to improve the understanding of the project and the sharing of choices
- We guarantee a close collaboration with the client's key resources and a thorough training course for the entire journey
- Modern data analytics technologies require rigorously quantitative application methodologies to ensure a perfect alignment of interests between supplier and customer.
- For this reason we invite our customers to deliver the complete dataset only after having received the red-list at the end of the trial project.
No organizational overhead, close business requirements alignment, strong project commitment.
- High organizational overhead
- Need of AI expertise
- Difficult to obtain a unique product (customized vs competitors)
- High licensing cost
- Framework standard ≠ Product standard
- Need of AI expertise
- Risk of «on-demand development» (innovative technologies with stuffy approach)
- No development overhead
- High skills & experiences
- Project commitment
- Unique and integrated solution
- Direct relationship with the business and with the IT function
Our Artificial Intelligence Expertise
Make accurate predictions and decisions from historical data.
Maximize the return in a sequential decision problem.
Reuse acquired knowledge to learn new tasks.
Learn multiple decision strategies in complex scenarios.
Execute complex tasks by learning from a huge amount of raw data.
Extract valuable insights from large amounts of textual data.
Improve sales strategy by understanding clients’ needs.
Boost advertising campaign profits for both marketers and publishers with our state-of-the-art AdOpt system.
Optimize pricing strategies dynamically under complex market conditions and classify end clients.
Learn driving policies in complex settings scenarios throughout interpretable Machine Learning models.
Adopt Online Machine Learning approaches for Financial and Risk Management problems such as Portfolio Optimization.
Solve industrial issues by combining our advanced ML solutions with Optimization Techniques (e.g. predictive maintenance and warehouse optimization).
Enhance power consumption efficiency and predict failures in smart energy systems.
We provide Online Machine Learning tools for personalized medicine, clinical trials and healthcare resources optimization.