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A Practical Guide to AI in Finance

Understand how to successfully deploy AI for your business

9-10 Sep, Singapore | 13-14 Nov, London

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Course Overview

This workshop will explore key use cases to understand the challenges affecting AI adoption in finance and help develop a strategy to successfully implementation

Avoiding generalizations, this course will see, consultant and former Lead Data Scientist for PWC, Dr Christian Spindler, investigate AI use cases through a mix of presentations and demonstrations to provide guidance on tackling key hurdles affecting AI adoption and the strategies that can be taken to ensure successful AI deployment.

Book by 13 Oct - £995+VAT

London: 13-14 Nov 2019

PRICE: £1195+VAT


Why choose this course?

What sets this programme apart?

  • Focused programme - This course has been designed to provide delegates a practical understanding on AI.
  • Relevant industry expertise - Delegates will be led by a practitioner with experience working in AI for the financial sector.
  • Engaging teaching style – The course will bring together demonstrations and presentations to enable delegates to fully comprehend the subject.
  • Real-life examples - By deep diving into AI use cases, delegates will be able to take inspiration by applying relevant elements to their own business model.

Job functions who would benefit

  • Chief Digital / Data Officers
  • Product Managers
  • Product Developers
  • General Directors / Managers with in financial
  • organization
  • Investment / Portfolio Managers
  • Operations Managers
  • Risk and Compliance Managers
  • Innovation Managers
  • Business Development Managers

What to expect

Latest use cases:
We will analyse what is being done, how it has been done and what we can learn from

Investigation into key obstacles:
We will identify the key obstacles and look at various methods to overcome these

Expert knowledge:
Learn from a practitioner, formerly of PwC, who has experience in delivering AI projects for the financial service institutions

Learning outcomes

Benefits for Professional

  • Deliver an AI PoC specific to your business’ needs
  • Develop a robust strategy for implementing AI
  • Propose strategies on how to tackle challenges affecting AI adoption – such as data silos and team organisation
  • Make informed decisions for investing in AI
  • Identify new opportunities for using AI in your business
  • Recognise relevant regulations and how to comply to these while still befitting from AI

Benefits for the Organisation

  • Allow staff to make informed decisions regarding AI deployment
  • Highlight opportunities in which AI can be used to add value to the business
  • Mitigate business risk with a team knowledgeable on how to manage hurdles accompanying AI deployment
  • Ensure a well-structured team to enable successful AI deployment

Programme Details

Module 1

Introducing AI in Finance

  • Defining AI
  • What is driving interest for AI in finance?
  • Examining the reliability of AI

Module 2

Key Challenges affecting adoption of AI in finance

  • Understanding and overcoming data silos
  • The proof-of-concept trap: How to bring AI to a successful end
  • Understanding how to structure your team

Module 3

Use cases for AI in Finance

Key AI use cases in the front-, middle- and back-office

1. Gaining robust and clear recommendations in asset and wealth management
2. Building AI-enabled deposits for lending businesses
3. AI and open banking

Course Director

Consultant and former
lead in Data Analytics for IoT at PwC

With over 10 years’ experience in data science and artificial intelligence as well as holding a PHD in physics and M.B.A from St. Gallen University, Christian is a technology and business expert for Robotics and Deep Learning design and application.

Having previously worked as a Senior Manager at PwC Switzerland, where he led the IoT & AI activities within the data analytics department and conducted multiple projects in the Financial Services segments, Christian now works as a
consultant and supports companies in their transformation to AI-driven organisation.

His approach to data and analytics workshops is to involve the audience into actively testing and playing with concepts and solutions, to maximize the learning process and foster ideation.


What our past delegates have said about the programme

Customised In-Company Training

All our programmes are fully customisable and can be delivered at a time and location suitable to your organisation's uniques requirements. Get in touch to discuss how we can build the perfect training solution for your organisation.