Engineering - Competence Center

Technology Business Line

Data & Analytics

Technologies, tools and methodologies to generate advanced insights and maximize the value of data.

A team of highly specialized professionals, with transversal skills in the world of Data Analytics: from Data Strategy & Governance, to Data Management, Business Intelligence and Artificial Intelligence, to develop customized solutions with a strongly results-oriented approach.

We are continuously working to innovate our solutions also through our internal Laboratory dedicated to innovation on frontier topics in the field of Data & Analytics. We have developed a cross-market technology business line capable of pooling experience and best practices from various industries and adopt a consultative approach that guides customers in defining the problem, identifying the best solution and implementing it on a large scale.

Data plays a crucial role in our society today: it is used daily to make process management more efficient and effective, to support strategic decisions and to increase productivity, leading organizations to face increasingly difficult challenges. We support our customers in exploiting all the opportunities offered by the advanced use of data, through a portfolio of offerings capable of managing the entire data supply chain and transforming data into a competitive advantage.

We create highly customized solutions for our customers instead of leveraging pre-configured platforms and algorithms. We have developed an approach that starts with a deep understanding of the business need, goes through the creation of a Proof of Concept to validate a use case and finally builds a Minimum Viable Product. Finally, we work to industrialize and bring to scale our solutions by integrating them, in an industrialized mode, within the customer’s environments with an Agile approach of continuous feedback and refinement.

We help our customers develop a robust data strategy and governance to ensure that data is properly managed within the organization in accordance with policies and best practices.

Data management thus becomes a key enabler for improving productivity, efficient decision-making and innovation through data management platforms, be they mainstream data platforms (such as data warehouse, data lake and lakehouse) or advanced data platforms, which provide a new paradigm to data management, creating accountability in data management, simplifying technological complexity and reducing dependence on centralized data management teams.

Integrating analytics & business intelligence solutions within organizations makes information easily accessible and interpretable, increasing analysts' efficiency by automatically generating insights with embedded analytics capabilities to integrate business intelligence capabilities within a user's natural workflow. We support our customers from strategy definition, through platform set-up, to building customized reports and analysis and platform evolution.

AI & Advanced Analytics automates and makes processes and activities within organizations more effective, scalable, always available and with higher quality standards. This technology enables the full potential of data through advanced analytics, accelerating innovation, enabling better decisions, faster, defining new business models and creating value through predictive, exploratory, prescriptive and simulative analysis.

We create value in a potentially infinite number of areas by analyzing sound, text, images and video, time series. We use Machine Learning, Deep Learning, AI techniques up to the most emerging technology, Generative AI, which leverages advanced machine learning models and algorithms to learn from existing data and generate new content. We leverage our proprietary Large Language Model that forms the beating heart of the generative AI solutions we develop for our customers; it can be installed entirely on-premises on a customer's dedicated hardware, so that its data never leaves the company perimeter according to the principle of Private Generative AI. Moreover, it can be specialized on the customer's data through a RAG approach, but also through fine-tuning, i.e. a new re-training of the engine dedicated solely to the customer.

Research and Innovaton

Challenges in engineering, data science and AI are constantly evolving, driven by factors such as the increasing availability of data, advancing computational capabilities and growing application complexities.

In the R&I Lab, we are engaged in the research and development of new methodologies, algorithms and technologies for data-driven ecosystems and AI, and in the development of advanced solutions in diverse sectors such as security and defense, industry, agri-food, critical infrastructure, transport and health. Through an interdisciplinary and innovative approach, in the context of national and European programmes, we realize ambitious and high-impact projects to improve efficiency, security and sustainability in an increasingly interconnected and data-driven world.

With more than 60 research projects carried out in data, analytics and AI, we are one of the most active in the European research landscape.

+20 Partnerships
and academic collaborations

+380
Professionals

+100
R&I Professionals

+50
Business Projects each year

+60
Research Projects

Cross
Market

White Paper

AI & Advanced Analytics

Simplifying complexity to face the future by giving voice to your most precious asset: data.

Instant Paper

Telemedicine

Let’s redesign Primary Care for a healthcare system that puts people at its centre.

Case Study

Snam: Advanced Analytics for Gas transportation

Our new approach increases the efficiency of "unaccounted-for gas" (UFG), enabling actions for the improvement of the whole system.

Case Study

A full digital Cloud solution for Itabus

A project to provide an excellent service to users in terms of customer care, user experience, purchasing process and efficiency thanks to the digitalization of all business processes.

Case Study

AI & Green Energy: predicting is possible

Up to a million predictions in 60 minutes: with our holistic approach we use Artificial Intelligence to predict energy production from renewable sources.

Case Study

Atlas4Dev: the Atlas for Development

A Virtual Assistant based on Generative AI to explore data with natural language: a new way of self-service BI to retrieve information from complex databases without specific technical skills.

Research Project

ARIEN: an AI platform to combat illegal drug trafficking

A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.

Research Project

STARLIGHT: Artificial Intelligence to fight against high priority threats

Better data analysis and management: a project to equip law enforcement agencies with secure and resilient AI technologies and tools.

Research Project

TITAN: fighting disinformation with Intelligent Coaching

An open and distributed ecosystem to empower citizens' critical thinking.

Research Project

LAGO: Lessen data Access and Governance Obstactles

Delivering the foundation for a trusted European Research Data Ecosystem (RDE) to address the ‘Data Issue’ in the research landscape for the fight against crime and terrorism.

Use Case

EngGPT: our AI-driven assistant for your business

EngGPT, our advanced Large Language Model (LLM), is the basis for a wide range of natural language tasks, such as text generation, classification, synthesis, and translation.

Trend Radar

Generative AI: a revolutionary and global impact

Enhancing our lives, fostering economic and cultural development, and championing sustainability ethically and responsibly.

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