Stephan Murer

Learn from an experienced practitioner

Dr. Stephan Murer, owner of Murer Consulting GmbH, is an independent technology consultant and board member. Until 2017 he was Group Chief Technology officer at UBS AG, responsible for architecture and innovation of UBS’s information systems. Before that, Stephan Murer performed the same role over many years at Credit Suisse. In parallel to his corporate functions, Stephan has remained active in the academic world by teaching at various universities including at the Computer Science department of Oxford University, and by publishing regularly. Furthermore, Stephan Murer is engaged with startup firms and private equity funding.

Stephan Murer

Ex-CTO at UBS

Join the AI in Finance Revolution

Artificial Intelligence is now a reality in finance. But exactly what is AI? What are its applications in finance? How shall professionals prepare for an AI world?  AI in Finance is a structured course that will help finance professionals and technologists acquire the right foundations to be part of the AI revolution.


Course 3: Implementing AI in an Enterprise: Technology, skillsets and regulation is designed to provide you with a cohesive understanding to AI implementation in a large organisation. 

Learn a strategic framework for AI implementation and discover the numerous infrastructure requirements to implement AI technologies. Investigate the role of people in an AI enabled world and develop an awareness for the ethical implementation of AI.

This course is the third of four courses in the Artificial Intelligence in Finance Specialisation. 

The Artificial Intelligence in Finance Specialisation brings together leading industry experts to create four short courses that cover all facets of AI use in finance. With a global view from East to West, you will develop a solid understanding of the growth of AI, and its future trajectory across the globe.

Global Contributing Experts

Learning Outcomes:

  • Learn how AI helps achieve the strategic objectives of an organisation and the different ways in which an enterprise can unlock AI capabilities

  • Develop a deep understanding of the requirements to unlock AI potential in an organisation, including innovation capabilities, data and technical infrastructure

  • Deep-dive into the role of people in an AI-enabled world. Uncover what skills are needed to thrive in this new world and what opportunities and challenges both organisations and individuals face in an increasingly automated world

  • Learn about the necessary ethical considerations of AI and what procedures should be in place to ensure ethical implementation in finance

Course Information

Course curriculum

  • 01

    Course 3 of the Artificial Intelligence in Finance Specialisation

    • Welcome to Implementing AI in An Enterprise: Technology, Skillsets and Regulation

    • Welcome from the Programme Directors

    • Welcome from the Senior Lecturer

    • Course Handbook | Introduction & Overview

    • Course Handbook | Glossary

    • Join Our Community at CFTE!

    • Interact with CFTE & AI Learners

    • Preliminary Survey - Getting Started

  • 02

    Module 1: Integrating AI at a Strategic Level

    • ━━ SENIOR LECTURER ━━

    • 1. System vs Competitive Innovation

    • 2. A Strategic Framework for AI

    • 3. Accessing Technologies in Enterprise

    • 4. Summary

    • Challenge

    • ━━ INDUSTRY EXPERT ━━

    • ━━ MODULE READINGS ━━

    • QUIZ

    • Course Handbook | Module 1

  • 03

    Module 2: Infrastructure for AI

    • ━━ SENIOR LECTURER ━━

    • 1. Innovation Capabilities

    • 2. Data

    • 3. Technical Infrastructure

    • 4. Summary

    • 5. Challenge

    • ━━ INDUSTRY EXPERT ━━

    • ━━ MODULE READINGS ━━

    • QUIZ

    • Course Handbook | Module 2

  • 04

    Module 3: The Role of People

    • ━━ SENIOR LECTURER ━━

    • 1. AI & The Workforce

    • 2. AI Skillsets in the Workforce

    • 3. Talent Opportunities & Challenges

    • 4. Summary

    • Challenge

    • ━━ INDUSTRY EXPERT ━━

    • ━━ MODULE READINGS ━━

    • QUIZ

    • Course Handbook | Module 3

  • 05

    Module 4: Ethics and Risks

    • ━━ SENIOR LECTURER ━━

    • 1. Model Validation

    • 2. Cooperation Between Humans and Machines

    • 3. Risks and Solutions

    • 4. Summary

    • Challenge

    • ━━ INDUSTRY EXPERT ━━

    • ━━ MODULE READINGS ━━

    • QUIZ

    • ━━ OPTIONAL INTERACTIVE EXERCISE ━━

    • Course Handbook | Module 4

  • 06

    Congratulations!

    • Congratulations!

    • What's Next?

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Artificial Intelligence in Finance

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