training course

AI & ML in Finance and Economics

The “Hellenic Association of Risk Managers” (www.harima.gr) member of FERMA (Federation European of Risk Management Associations, www.ferma.eu) & FECMA (Federation of European Credit Management Associations, www.fecma.eu), with the support of “Academics University of London Worldwide” and SEV and in collaboration with the “Risk Training Institute” of ICAP CRIF, present the “Artificial Intelligence and Machine Learning in Finance/Economics“.
The seminar provides essential knowledge on the application of Artificial Intelligence and Machine Learning in the financial decision making process. At the same time, it analyzes the most effective methods and available tools for analyzing data and defining the strategic planning of businesses.
Description
Target Audience
What you will learn

Description

The aim of the seminar is to develop the main methodologies of data analysis and to provide the relevant technical skills through case studies, so that participants are able to perform all the functions required for decision making. In particular, the basic techniques of Machine Learning and Artificial Intelligence in combination with the main econometric models will be presented. The seminar deals in detail with the issues that fall within these fields, enabling participants to understand the theoretical background of these methods and mainly to specialize in their practical application in the professional environment in which they operate.

Target Audience

Entrepreneurs
Financial Management Executives
Commercial and Marketing Executives
Supply Chain Executives
Project Management Professionals
Internal Auditors
Executives outside Financial Departments who need to be aware of the financial risks faced by their business
Human Resources Professionals
Legal Professionals
Financial analysts, portfolio managers, venture capital executives who are involved in the field of investments and wish to broaden and deepen their knowledge and the tools they can use in their work.

Upon successful completion of the seminar each participant will be able to:

Combine analytical thinking with practical applications.
Understand the necessity of applying AI and ML methods.
Select the appropriate model based on the case data to be checked.
Manage big data databases and apply the main analysis methodologies using appropriate software.
Extract the necessary information from databases and carry out analysis concerning the extraction of patterns for use in financial forecasting and risk management.
Come up with investment strategies and policy proposals based on the conclusions of the inductive analysis
About

Subject Areas

Linear Discriminant Analysis,

Binomial – Multinomial logistic regressions,

Models with categorical variables

Artificial Neural Networks (Multilayer Perceptron – Radial Basis Function),

Decision Trees,

Random Forests,

Support Vector Machines

Customer creditworthiness assessment

Forecast of the course of key economic figures

Determination of independent variables and determination of the significance of each

Preparation of production cost report,

Prepare production budgets and flexible budgets,

Allocation of production overheads by activity costing method (ABC method);

Calculation of optimal product mix,

Maturity of accounts receivable,

Fix optimization issues.

Credit risk and customer creditworthiness forecasting.

Predicting sales revenue and estimating consumer characteristics

Forecasting the course of stocks / financial factors

Development of specialized case studies in collaboration with participants to highlight the value and understand the operation of AI and ML methods

Application for Registration
Course Timetable

16

Hours Live Online

Course Start: Date 19 of May 2025
Early Bird €600
Cost of Attendance €780
Subsidized by LAEK
AI & ML in Finance and Economics

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Skilled and Profesional Advisors

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Trainings & Certificates

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