(Finance) – Intesa Sanpaolo chose iGenius, company that applies its own technology TOGenerative to business intelligence (BI), to implement the own BI solutions. iGenius – explains the note – is a platform that simplifies access to data using natural language, capable of offering a personalized professional configuration because it is built on the needs of the end user, also through the automation of various functions.
Intesa Sanpaolo will thus adopt the iGenius generative business intelligence solution “Crystal”, already successfully tested within the Group through Fideuram Private Banking.
For Marco Ditta, Head of Data & Artificial Intelligence at Intesa Sanpaolo: “the use of artificial intelligence solutions, such as the one proposed by iGenius, and large quantities of data is increasingly establishing itself in the world of work and in our corporate landscape as a key to transformation and simplification. For this reason it is essential to adopt an approach that sees man at the center of projects and processes. This approach gives priority to the needs of people in the company organization and proposes the use of technology to support and enhance professional skills; creates a more efficient and effective working environment, in which people participate in the design of new solutions and new processes and are trained in the use of new technologies, thus contributing to the evolution of the way of working in this new era”.
“The partnership between Intesa Sanpaolo and iGenius is a demonstration of the direction in which the future of work is moving, where advanced technologies such as generative BI will play a fundamental role in driving business success and data-driven decisions,” he underlines Uljan Sharka, Founder and CEO of iGenius. “Both companies adopt a human-centered approach, guaranteeing benefits to all stakeholders, first and foremost employees and customers. Furthermore, iGenius and Intesa Sanpaolo are working to implement
products with particular attention to sustainability, introducing intelligent data processing methods that optimize the use of computational resources with green effects on data centers”.