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Membership
  • Membership

    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.

Research
  • Research

    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.

Conferences
  • Events

    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.

Academy
Advisory
academy

AI & Machine Learning Applied to New Actuarial Models.

1-4 DAYS DUAL MODE
September 20-21, 2022
Request information
Early-bird
-100.00 Euro
With enrollment by
23.08.2022
Closing Date for Enrollment: 06.09.2022
Date
September 20-21, 2022
Industry
BANKING, INSURANCE
Subject areas
Risk management, accounting & actuarial science
Language
Italian
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Registration fee
Adherent Cetif
850.00+VAT*
Non-Adherent Cetif
1,000.00+VAT*
*Quota per participant
Discounts and economic benefits
To whom it is addressed

Managers in the financial sector and, in particular, to business, actuarial and all those who work, in various capacities, within the Innovation and Digitization processes

Formative Objectives.
  • Provide an overview of the digital innovations that have pervaded the insurance world
The format

Dual Mode: choice of classroom or distance participation

Innovative and effective teaching techniques geared toward the transfer of knowledge and behavior through:

  • theoretical lectures
  • moments of consolidation and critical revision of content
  • classroom exercises
  • simulations
  • use case and benchmark

Course Schedule.

Machine learning applied to new actuarial models:

  • Machine learning: general concepts, unsupervised learning models, supervised learning models
  • Some use cases on actuarial applications
Download the program

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