Artificial Intelligence solutions
Managing customer complaints is a critical responsibility for any credit institution. It is far more than simply replying when a customer reports an issue. Instead, it is a structured, rule-based process with direct implications for trust and reputation. Banks must comply with regulatory requirements set by supervisory bodies such as the Bank of Italy and…
Read more
The management of wildfires is crucial, as wildfires today represent an increasingly pressing threat to our ecosystems, public safety, and the economy, particularly due to climate change, which increases both their frequency and intensity.Each year, vast areas of forest and non-forest land are destroyed. For example, in 2023, nearly 1,073 km² were devastated in Italy…
Read more
AI solutions for weather forecasting are today a fundamental tool for monitoring and predicting rainfall and for making important decisions proactively. While traditionally, weather forecasts have been based on complex physical models and the analysis of enormous amounts of atmospheric data, today the advent of Artificial Intelligence is opening up unprecedented horizons, radically transforming the…
Read more
The corporate solutions that are used by businesses today can no longer disregard attention to employee well-being, an element that is increasingly recognized as strategic for the growth and sustainability of companies. A healthy work environment that is attentive to people’s needs not only fosters productivity but also motivation, collaboration, and talent retention. Today, thanks…
Read more
The need for efficient energy management systems has become crucial in the current context, characterized by rising energy costs and the need to reduce environmental impact. In this scenario, the Ei-TWIN project aims to develop an innovative platform based on Digital Twin technology applied to the energy sector. This article will explore the potential of…
Read more
Process Mining can be defined as a combination of data science and business process management (BPM) techniques that enables the analysis of business processes by examining logs and event data generated by information systems. These data originate from various business sources, such as ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), human resource management systems,…
Read more
In the article “Operational Risk Management in the Financial Sector”, methodologies and technological innovation trends for managing financial operational risks were discussed. In this article, we will explore the operational Regtech solution offered by Revelis and its related use cases. Revelis’s approach to operational risk controls The Regtech solution by Revelis adopts an approach to…
Read more
Operational risk management is a strategic factor in the financial sector. Operational Risk is defined as the likelihood that financial activities will experience value fluctuations due to unforeseen factors that arise during the regular operations of a bank. Generally, operational risks include: Permanent controls are a fundamental component of the operational risk management system within…
Read more
For modern companies, having a Warehouse Management System (WMS) to handle inventory and track goods is crucial for operational efficiency, responsiveness to market demands, improving delivery accuracy, and reducing downtime. In a competitive environment, goods traceability enables more effective planning, optimizes logistics, and enhances customer service, making it essential for business success. A WMS: why…
Read more
Data analytics is the process of examining and interpreting large amounts of data to extract useful information and support strategic decisions. This process includes collecting data from different sources, cleaning it to eliminate errors or inconsistencies, and transforming it into a more usable format. Subsequently, analytical techniques such as statistical models and machine learning algorithms…
Read more
