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academy

Algoethics & Algogovernance

Fourth module of the Data & AI for Business track.
1-4 DAYS DUAL MODE
October 17, 2023
Early-bird
-100.00 Euro
With enrollment by
18.09.2023
Closing Date for Enrollment: 16.10.2023

Every second, 150,000 GB of data circulate on the Web, and technology now offers the ability to process large masses of information and perform highly complex tasks at ever decreasing costs. Algorithms and artificial intelligence will become increasingly prevalent and support many activities, from automating processes to developing business strategies and maintaining customer relationships. Understanding how algorithms, AI and the data processing behind this evolution work becomes increasingly relevant for those in policy and control roles in companies to point to the best solutions and identify and solve critical issues.

Date
October 17, 2023
Industry
BANKING, INSURANCE, CROSS INDUSTRY
Subject areas
Digital Innovation & FinTech
Language
Italian
Contact a tutor
Download the program
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
  • Business Analyst
  • Business Line Managers
  • Project owner
  • Staff, Management and Decision Makers of Internal Control Functions (Compliance and Internal Audit)
  • All those in different business roles who want to increase their theoretical and practical skills on Big Data& Advanced Analytics issues for financial business
Formative Objectives.
  • Provide an overview of the Big Data phenomenon and algorithmic analysis techniques (Advanced Analytics, the basis of Artificial Intelligence) in the financial sector and explore their relevance to different management areas
  • Understand the main applications arising from the use of Big Data through Advanced Analytics in the financial sector
  • Acquire, through case studies and exercises, the knowledge and skills needed to create new analysis models that explore new business opportunities
  • Deepen Data Governance, Quality and related data interpretation techniques and tools as well as ethical implications in the use of data
The format

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.

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