ACCA - Course 3: Robotic Process & Intelligent Automation for Finance (Online Training) - Informa Connect Middle East
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ACCA - Course 3: Robotic Process & Intelligent Automation for Finance (Online Training) - Informa Connect Middle East
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ACCA - Course 3: Robotic Process & Intelligent Automation for Finance (Online Training) Training Course | Finance Training Course

ACCA - Course 3: Robotic Process & Intelligent Automation for Finance (Online Training)

11 April - 13 April 2023
Online Training

Level: Intermediate

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Education Partner:
Association of Chartered Certified Accountants (ACCA)

Education Partners

Association of Chartered Certified Accountants (ACCA) | Education Partner – Informa Middle East
Course Schedule
  • 11 Apr 2023 Online
  • 18 Dec 2023 Online

Overview

In this course we explain how automation can play a key role in delivering the requirement to have robust processes and clean data. By using automation tools and machine learning, finance leaders can identify, implement, and configure the right solutions for their organisation. It also shows how tools, such as Python, can be applied to finance processes and the benefits this will bring.

This course is designed for accountancy, finance and business professionals working in all organisations from small business, large corporates, or financial services or who are just interested in learning more about these new and exciting technologies and how they can transform organisational processes and customer experiences of services and products. With a focus on practical skills throughout, this course provides the ability to apply skills as well as understand them.

Who Should Attend

Business leaders and finance professionals will greatly benefit from this ground-breaking course. Keeping up with the latest financial technology advancements, and how they can best be utilized, will offer attendees immediate and practical takeaways that will add considerable value to their business operations.

Benefits of Attending

  1. Understand what lies under the surface of a Machine Learning output
  2. Better interrogate a model, and partner with data scientists and others in an organisation to drive adoption and use of Machine Learning
  3. Understand how automation can assist in the efficiency of the finance function
  4. Appreciate the steps needed to manage the risk of potential threats, threat actors, and the vulnerabilities they may exploit and the business impacts of a cyber-attack
  5. Apply the principles of cyber threat intelligence to your organisation.

REGISTER FOR THE COURSE

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