Blog

Energy Management is undergoing a profound transformation thanks to AI solutions for Energy Management. In a global context where energy efficiency and sustainability are priorities, adopting advanced technologies for energy management offers significant opportunities for businesses and organizations. Indeed, more and more companies and public administrations are choosing solutions developed by Revelis every day to…
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

What is Process Mining, and why is it important? In this article, we’ll answer these questions and then illustrate several applications of this technique, highlighting the advantages for companies.  Gartner, the author of the Magic Quadrant for Process Mining Platforms, predicts that by 2026, 25% of global enterprises will have adopted process mining platforms. The…
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

AI in RegTech can now be used to analyze large volumes of data, identify the impacts of regulations on business and corporate processes, and support those who perform this activity manually, improving various aspects and reducing operational costs. Thus, many benefits can be obtained overall. Specifically, with Machine Learning solutions, it is possible to continuously…
Read more

In this article, we will explore how to optimize LLM using RAG, whereas in previous articles “Large Language Models (LLM)“, we first explored Large Language Models (LLMs) and Prompt Engineering techniques, and later delved into Retrieval-Augmented Generation (RAG)  in article “RAG: What It Is and How to Optimize LLMs” explaining its functioning and advantages. RAG…
Read more

In the article “What are Large Language Models (LLM)” we introduced Large Language Models (LLM), explaining their operation and main applications. We also discussed Prompt Engineering techniques to optimize the performance of LLMs. In this article, we want to explain what RAG is and how to use it to optimize LLMs. Retrieval-Augmented Generation (RAG) The…
Read more

Digital transformation is a complex process that involves the adoption of digital technologies in all aspects of an organization to improve performance and operations. Today, it is undoubtedly an aspect that should not be underestimated. According to the data from the ‘Digital in Italy 2024’ report by Anitec-Assinform, the digital market is expected to grow…
Read more