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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 difference between an advanced analytic and an 'AI is the ability to learn that the AI has and that an advanced analytic does not. As you can imagine, the learning mechanism of a human being is very different from that of a machine and is not even well understood yet. With respect to the machine, however, we can make use of techniques to control and improve its performance and make it operate at its best. In parallel, we must also ask ourselves where AI can make the best contribution, currently and prospectively, and under what conditions, and where, on the other hand, it is neither convenient nor appropriate to employ it.
NEW 2025! The Course registration fee includes access to confidential asynchronous content through the Smart platform Academy.
Sales network managers and promoters
Product and service planners and managers
Organizational managers and analysts
High potential and all those at any business level who wish to learn about the capabilities and potential (and critical issues) of algorithms and artificial intelligence in order to evaluate opportunities for their use
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.