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Market Basket Analysis is a strategic data mining technique used by retailers to enhance sales through an understanding of customer purchasing patterns. This method involves examining datasets, such as historical purchase records, to identify items that tend to be bought together. By recognizing these co-occurrence patterns, retailers can make informed decisions to: The steps to…
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The digital transformation is revolutionizing the way companies operate, address changes, and leverage opportunities in the digital context. This revolution is driven by increasing globalization and the introduction of new technologies. In the banking sector, these technologies are also related to Digital Payments. This digitization process has a significant impact on the banking sector, requiring…
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BPM Business Process Management is a management discipline that aims to improve the efficiency, effectiveness, and agility of business operations. It focuses on identifying, designing, implementing, optimizing, and monitoring business processes to achieve the organization’s strategic objectives.  BPM involves: defining workflows; standardizing procedures; using technologies to automate and integrate business activities. The manufacturing industry faces…
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In the era of digital transformation, where Retail companies strive to adapt to increasingly demanding customer needs, Artificial Intelligence (AI) plays a crucial role in providing personalized solutions.  A fundamental tool for optimizing the customer experience is the customer profile analysis. In this article, we will explore how customer profile analysis can be one of…
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Revelis has always been involved in IoT Analytics and Industry 4.0 predictive maintenance and beyond, implementing tools for monitoring production processes and advanced data analysis techniques aimed at predicting and preventing failures. In this article, we will describe an industrial project in which these techniques have been applied. Industry 4.0 predictive maintenance: IoT Components in…
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In all sectors, the digitization of business processes is becoming increasingly essential to remain competitive on the global market, and in this context, artificial intelligence (AI) is a key technology that enables the efficient management of large amounts of information. In this article, we will explore how AI can be used to address the challenges…
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In the era of digital transformation and big data, predictive maintenance, along with key players such as automation processes, IoT, machine learning (ML) and applications of artificial intelligence (AI), is undoubtedly a crucial factor in Industry 4.0. Leveraging predictive maintenance by incorporating it into one’s digital transformation strategy means being able to improve the resilience…
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Today, banks, insurance companies, financial intermediaries and a whole series of non-financial operators, such as gaming licensees, are required to comply with complex regulations governing digital financial flows. The number of regulations in this area has increased tenfold in recent years, making it increasingly difficult for fintech and other organizations to maintain compliance. The technological…
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Artificial Intelligence (AI) has been at the center of attention for many decades and has undergone rapid evolution in recent years. AI is a field that deals with creating machines that can perform tasks that require human intelligence, such as reasoning, learning, and understanding language. In recent years, we have seen the emergence of a…
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Today, one third of total investments by companies is about Intelligent Data Processing projects and specifically 28% of investments are reserved for natural language processing tool and Chatbots, according to data extracted from the latest report prepared by the Observers of the Polytechnic of Milan following the presentation conference of the Research results of the…
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