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More than 30,000 professionals make up the ecosystem of Cetif: we facilitate the meeting and exchange between banks, insurers and companies in an academic Center, competent and independent environment to share knowledge, experience and strategies on the most innovative drivers of change.
16 Research Hubs focused on dynamics of strategic evolution, regulatory updates, organizational and process practices, and the effects of digitization: we study innovation trends and best practices and share them with our communities.
Over 60 events including Main events (Workshop and Summit) and Community events (related to research activities) and Webinar: we bring together banks, insurance companies and businesses for shared growth on trends and challenges to outline innovative development strategies.
More than 40 Executive Education tracks, 4 Master's programs and numerous Company Specific Programs: we transfer innovative financial-oriented content with a scientific approach.
An experimental spin off combining academic research and entrepreneurial approach: we turn innovation and digitization into a concrete business advantage.
The Data & AI for business course explores the world of data, algorithms, and Artificial Intelligence, analyzing their characteristics, logic, and practical applications. From the distinction between machine learning and deep learning to the management of advanced analytics, the main predictive models, classification and regression techniques, and the underlying mathematical foundations will be explored. Ample space will be devoted to the topics of Data Governance, Data Quality and regulation, with a focus on KPI and data quality. Through real use cases in banking and insurance, ethical challenges, the risks of algorithmic bias, and the potential of AI for process digitization will also be addressed.
NEW 2025! The Course registration fee includes access to confidential asynchronous content through the Smart platform Academy.
All those in various business roles who want to increase their theoretical and practical skills on the topics of governance and exploitation of data, algorithms, and artificial intelligence for financial business.
Innovative and effective teaching techniques geared toward the transfer of knowledge and behavior through:
theoretical lectures
moments of consolidation and critical revision of content
exercises and simulations
use case and benchmark
The Course will be held in. Dual Mode: the participant at the time of registration will be able to communicate the most facilitated mode of fruition.