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.
Our approach
Data plays a crucial role in our society today: it is used daily to make process management more efficient and effective, support strategic decisions, and increase productivity, helping organizations face increasingly difficult challenges. We assist our clients in taking full advantage of the opportunities offered by advanced data usage through a portfolio capable of managing the entire data supply chain and turning data into a competitive advantage.
We create highly customized solutions for our clients instead of relying on pre-configured platforms and algorithms. We have developed an approach that begins with a deep understanding of the business need, moves through the creation of a Proof of Concept to validate a use case, and ultimately builds a Minimum Viable Product. Finally, we work to industrialize and scale our solutions by integrating them, in an industrialized manner, within the client's environments with an Agile approach for continuous feedback and refinement.
Data Architecture & Management
We help our clients develop a solid data strategy and governance that ensures data is properly managed within the organization in accordance with policies and best practices.
Data management thus becomes a key enabler to improve productivity, decision-making efficiency, and innovation through data management platforms, whether they are mainstream data platforms (such as data warehouses, data lakes, and lakehouses) or advanced data platforms, which represent a new paradigm in data management by creating accountability, simplifying technological complexity, and reducing dependency on centralized data management teams.
The integration of analytics & business intelligence solutions within organizations makes information easily accessible and interpretable, increasing analysts' efficiency through the automatic generation of insights with embedded analytics functionalities to integrate Business Intelligence capabilities into a user’s natural workflow. We support our clients from the definition of the strategy, to platform setup, to the creation of custom reports and analyses, and the evolution of the platforms.
Artificial Intelligence & Advanced Analytics
AI & Advanced Analytics automate and make processes and activities within organizations more effective, scalable, always available, and with higher quality standards. This technology allows the full potential of data to be harnessed through advanced analytics, accelerating innovation, enabling better and faster decision-making, defining new business models, and creating value through predictive, exploratory, prescriptive, and simulation analyses.
We create value in a potentially infinite number of areas through the analysis of sound, text, images and video, and time series. We use techniques such as Machine Learning, Deep Learning, and AI, 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 utilize our proprietary Large Language Model, which is the core of the generative AI solutions we develop for our clients; it can be fully installed on-premise on the client's dedicated hardware, ensuring that their data never leaves the company perimeter according to the Private Generative AI principle. Additionally, it can be customized with the client's data using the RAG approach or fine-tuning, meaning a new retraining of the engine dedicated exclusively to the client.
Research & 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.
Digital Transformation is enabled by a variety of tools, such as cloud infrastructures and digital platforms, which allow organizations to rapidly adapt to market challenges and emerging opportunities. At the heart of this process lies the data-driven approach, which, through thorough data analysis, provides a clear and informed view to support the organization's strategic decisions.
By combining fundamental aspects of human experience with cutting-edge technologies like Machine Learning, Deep Learning, Natural Language Processing, and Advanced Analytics techniques in general, it's possible to significantly enhance data analysis capabilities and value extraction, thus realizing Artificial Intelligence applications for a wide range of purposes.
To learn more, read our White Paper.
AI & Advanced Analytics
The impact of AI in creating new value from data to drive the business of the future.
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