ΠΕΡΙΓΡΑΦΗ

Artificial intelligence (AI) is no longer viewed as a science fiction or futuristic notion. In recent decades, it has been assigned a very significant function within the contemporary society due to a variety of routine duties as well as increasingly complex technologically advanced tasks that call for technical expertise. Nearly every sector of the economy, including the financial services, has gradually incorporated AI. Therefore, it is important for experts in these fields to attain a thorough understanding of AI, any concepts related to it, and the potential effects that such technology may have on one’s business or organisation. 

One of the most significant rising technologies of the present is Artificial Intelligence (AI). In the previous year, it created about 850,000 new jobs, and it has been predicted that the value of the AI market will increase by over 50% by the end of the following year.

The purpose of this course is to provide understanding about AI technologies to those with little to no background. 

The course does not assume any prior technical expertise and aims to provide participants with a comprehensive understanding of the key concepts involved in the theoretical study of Artificial Intelligence without exposing them to the technical aspects of creating an AI system. This contains a simple introduction to the many AI subtypes and the various development methods used by AI developers.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

By the end of the course, participants will have developed the confidence to comprehend what the rapidly developing field of artificial intelligence is and to recognize it when necessary. 

Participants will be able to:

• Understand Key concepts about Artificial Intelligence (AI) technologies.
• Know the fundamentals of formalization of knowledge, applications, and intelligent systems.
• Take a look at knowledge extraction from data and machine learning methods.
• Explain what AI is and how it has changed throughout time.
• Understand how AI can transform the financial sector.
• Identify the many AI methods and systems, and understand what they stand for.
• Recognize the connection between AI and other new technologies.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

This course can be beneficial to:

• Beginners in the field of AI
• Professionals that want to enhance their AI knowledge
• Software Developers
• Law Researchers
• Legal Technologists, Legal Programmers, and Legal Analysts
• Lawyers
• Project Managers and Associate Project Managers
• Digital Transformation Heads, Officers and Team Members
• Innovation Leaders and members of Innovations labs
• Technology Strategy Leaders
• Entrepreneurs and freelancers
• Employees of companies
• Digital transformations professionals
• Governmental Agencies

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Training Outline 

Principles of AI

• Artificial Intelligence Overview
• AI Expansion
• AI Effect and Consequences
• AI Illustration
• Prominent AI Practices

What is Covered Under AI?

• Narrow, Strong, and Super Intelligence
• Rule-based Systems
• Learning-based Systems
• Rule-based Vs Learning-based AI

 Perception AI

• Overview and Structure
• Natural Language Processing (NLP)
• Optical Character Recognition (OCR)

 Effects of AI and Robotics on The Workplace

• Adding Automated Processes
• Do robots represent a Threat for Professionals?

 Role of AI in Financial Industry

• How can AI Reshape the Financial Industry?
• AI a Tool for Fighting Money Laundering and other Criminal Activities
• AI for Investment
• AI for Asset Management

 Pros and Cons of AI for Organisations

• What is the value added of AI?
• How and where AI is Applicable?
• AI Restrictions and Constrains in Organisations

 Challenges Faced with the Application of AI

• Ethical Debate
• AI Bias
• Legal Barriers
• Other AI Indications
• The ”Natural Lace Project”

 AI and the other Future Hi-Techs

• AI and its use in Blockchain
• AI and The Internet of Things
• AI and the Metaverse

 AI and Various Regulations

Machine Learning (ML) & Its Principles and What Differs if from AI

• Machine Learning Overview
• How is ML Designed?
• ML Classification
  • Supervised
  • Unsupervised
  • Reinforced
• Description of Supervised
• Description of Unsupervised ML
• Description of Reinforced ML
• Analytical Prognosis
• Deep Learning
• Neural Networks

Training Style  

The course will offer a practical delivery approach using presentations, group discussion, case studies and examples to provide participants with a better understanding of various AI systems, and how they have been used in various industries, including financial services.  For instance, how AI-based systems could be used to identify financial fraud transactions and how the investment industry might profit from its use.

CPD Recognition 

This programme may be approved for up to 7 CPD units in Blockchain and Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.