Artificial Intelligence Consulting

Stay Ahead of Industry Change

Our Consulting Methodology

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.

Prepare

Scoping & Architecture Design

We understand your goals and analyze your business requirements: We investigate to determine whether it requires a ML solution. We work closely together to define KPIs, prepare a road map, review scientific literature and determine requirements.

Project Setting & Governance

We make a decision about introducing AI in your business: If positive, we gather the requirements and prepare a plan for your project, with milestones, deliverables and specific deadlines. If not, we save you time and money by not implementing AI.

Data Exploration

We explore robustness and completeness of available data If you have sufficient data ready for collection and analysis, that’s perfect! If not, we will collect them in any way possible. Once data are available, we perform an exploratory analysis phase to find patterns and correlations.

Execute

Model Developement

Kick it off! We run thousands of parallel experiments to develop an AI model. A model is the core of an algorithms system – trained on historical data it can predict future trends or understand the semantics of a text.

Data Collection & Storage

Perform it… We perform state-of-the-art scraping, with our sound expertise in sourcing data: from the web, documents, databases and APIs. We also do crawling and build bots which automatically achieve our clients’ tasks.

Productization

…Productize When we get the proof that our prototype model can address your business problem, we will launch it in production. We'll integrate the model with your application and provide support services to make sure it works on a broader data set.
Our management process is designed to minimize organizational overhead and avoid information mismatching.
The documentation produced at each step allows to capitalize the experiences and to reuse part of the work done for other future scenarios.
The trial step is independent of the productization, so you can decide to proceed after observing the forecast test’s quality.
A structured and modular approach

Our Project Management

Image14, ML cube
Dataset Evaluation Dataset Analysis Forecast Test Development & Setting KPIs Reporting
ACTIVITIES
  • Requirements analysis
  • KPIs design (metrics & measures)
  • Critical issues Identification

DOCUMENTATION
  • Use case description
ACTIVITIES
  • Data set extraction and analysis
  • Alignment with IT and Business regarding normalization strategies

DOCUMENTATION
  • Dataset report
  • Requirements report
ACTIVITIES
  • Accuracy report processing

DOCUMENTATION
  • Accuracy report
ACTIVITIES
  • Software Development and setting
  • Role-based access control or role-based security
  • Training

DOCUMENTATION
  • SW technical documentation
ACTIVITIES
  • Check KPIs results
  • Identification of improvements and new features

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.

Our Artificial Intelligence Expertise

AI Areas

Machine Learning, ML cube

Machine Learning

Make accurate predictions and decisions from historical data.

Reinforcement Learning, ML cube

Reinforcement Learning

Maximize the return in a sequential decision problem.

Transfer Learning, ML cube

Transfer Learning

Reuse acquired knowledge to learn new tasks.

Game Theory, ML cube

Game Theory

Learn multiple decision strategies in complex scenarios.

Deep Learning, ML cube

Deep Learning

Execute complex tasks by learning from a huge amount of raw data.

NLP, ML cube

NLP

Extract valuable insights from large amounts of textual data.

Economic Sectors

Service E Commerce, ML cube

E-commerce

Improve sales strategy by understanding clients’ needs.

Shop 5108921 1920, ML cube

Advertising

Boost advertising campaign profits for both marketers and publishers with our state-of-the-art AdOpt system.

Service Pricing, ML cube

Dynamic Pricing

Optimize pricing strategies dynamically under complex market conditions and classify end clients.

Service Automotive, ML cube

Automotive

Learn driving policies in complex settings scenarios throughout interpretable Machine Learning models.

Service Banking, ML cube

Banking

Adopt Online Machine Learning approaches for Financial and Risk Management problems such as Portfolio Optimization.

Service Industry, ML cube

Industry 4.0

Solve industrial issues by combining our advanced ML solutions with Optimization Techniques (e.g. predictive maintenance and warehouse optimization).

Service Energy, ML cube

Energy

Enhance power consumption efficiency and predict failures in smart energy systems.

Service Healthcare, ML cube

Healthcare

We provide Online Machine Learning tools for personalized medicine, clinical trials and healthcare resources optimization.


    ML cube