Fundamentals of Practical AI for Investment Management Firms

This practical, hands-on course provides the learning needed to understand how to apply AI in investment management - particularly support functions.

It is designed to move beyond the hype. Trainers will work to align the content to your specific needs, aiming to leave you with actionable insights and tools ready for immediate application when you are back at work.

What You’ll Learn (and Apply Immediately):

Become Familiar with AI Tools:

• Know the difference between generative AI, non-generative AI, data science, and traditional statistical improvement methods and when to apply them
• Explore the landscape of current and upcoming off-the-shelf generative AI tools (e.g. Chat GPT, Perplexity, Google Gemini, Microsoft Co-Pilot, Anthropic Claude).
• Know which are best for your work to enhance productivity, automate repetitive tasks, and support decision-making.

Apply AI to Your Work:

• Learn methods to pinpoint where AI can have the biggest impact on your function, process, or role.
• Work through case studies of AI applications in investment management and get practical learning takeaways.

Get Hands-On Practice:

• Experiment with simple AI tools and techniques that can be immediately applied to your role.
• Collaborate with other attendees and learn together to apply AI to solving practical investment management challenges that apply to your daily work.

Know How to Get the Most Out of Generative AI:

• Learn prompt engineering methods and techniques (e.g. zero-shot, few-shot, chain of thought, role prompting), when to use each and how to combine them to maximise effectiveness

Understand AI Risks and Mitigations:

• Become aware of and know methods for mitigating AI security issues such as data exfiltration, ransom and sabotage, prompt injection, RAG data disclosure and social engineering.
• Understand the implications of responsible AI and AI governance for your work to use AI ethically, transparently, and in an accountable way and meet compliance requirements
• Know how to discuss AI risk with compliance and risk colleagues.

Important Information: This course will be delivered in a hybrid format, but please note that there are limited in-person spaces available, which are offered on a first-come, first-served basis.

If you see the "Join waiting list" button and wish to attend, please contact training@theia.org for assistance with registration.

 What Makes This Course Different?

• Real-World and Investment Management Context: You will work on case studies and solve investment management challenges. You can even bring non-confidential challenges or projects to the course for personalised guidance.
• Practical Tools and Methods: Hands-on practice using simple AI tools and frameworks during the training.
• 1:1 Expert Clinics: Work directly with AI experts to address your unique challenges and identify impactful solutions.

Why Attend?

This course is an investment in yourself, upskilling you to use AI for measurable outcomes. By the end of the training, you’ll walk away with:

• Tools and frameworks to identify and implement AI opportunities in your function.
• Insights from investment management case studies tailored to your work.
• Personalised strategies to address specific challenges in your role.
• Practical experience in knowing and using AI tools that improve efficiency and productivity.

• Introduction to generative and non-generative AI: What is generative AI? How does it work? What is non-generative AI?
• How can we customise and use Large Language Models (LLMs) like Chat GPT as co-pilots for productivity? What are their capabilities and limitations, and how to address them?

14:35

• Case studies and use cases on how AI is currently used in investment management functions

14:40

• Common off-the-shelf products and what they are good at

14:50 Break

15:10

• Breakout collaboration of applying AI using common AI products to the investment process
• Breakout presentations

15:40 Break

15:55

• Quality in AI and how to maximise the impact and minimise risks of AI
• Practical tools, methods, and proven frameworks for identifying which parts of your function AI can have a high impact on, and how to assess and manage or mitigate risks of AI

16:30

• Investment Management Case Study: used throughout sections showing applications to investment management.
• Best practices and takeaways: valuable insights into what it takes to successfully begin using AI in your role and get measurable productivity improvements.
• Multiple breaks during the session with a chance for you to have a 1:1 clinic, working through basic AI applications to challenges or opportunities in your role

16:55 Wrap up and Q&A

17:00 End

Dr Tillman Weyde
Dr Tillman Weyde is a Reader at the Department of Computer Science, City, University of London, a member of the Research Centre for Adaptive Computing and Machine Learning and of the Data Science Institute at City, University of London and Director of Artificial Intelligence & Data Science at equitably.ai. He manages data scientists working at equitably.ai, captures leading edge AI research from universities, and works to apply them to solve business problems through AI. He has published 150+ peer reviewed papers, has won research grants from national and international institutions along with companies and has been awarded several awards for research and developed award winning software.

John Paul Danaee, Director of Project Management and Quality at equitably.ai.
John Paul Danaee specialises in application of proven quality methods to de-risk and maximise the impact of AI including AI use case and business case development, AI impact assessment, AI risk management and AI programme design and governance. He regularly speaks and writes about AI. He has delivered webinars for Department for Business & Trade, moderated AI panels for Bayes Business School and has been  commissioned by editor of Quality World Magazine to write “a practical guide for using quality competencies in enterprise artificial intelligence: how quality can reduce risks and maximise the impact of artificial intelligence”.

He has 30+ years of experience combining investments, performance improvement and marketing across asset management, financial services and technology internationally (UK, Australia, US, Europe etc.). His investment expertise includes roles covering company stock exchange listings (IPOs) and private equity in HSBC Group and KPMG. He has a master’s in finance and investments and has conducted research into mid-market private equity at Bayes Business School, City University of London, supported by the British Private Equity & Venture Capital Association (BVCA).

He views AI through the prism of performance improvement where he has delivered some 20 enterprise-wide improvement projects and initiatives in companies including mid-market private equity portfolio companies and companies of HSBC Group internationally. He practises agile principles, is certified in LEAN Six Sigma as a Master Black Belt coach and has been admitted as a Chartered Quality Professional by the Chartered Quality Institute.

This course is primarily designed for those in support functions in asset management and in particular those in: Sales and marketing, Product development, client Services, relationship management and investor relations, research and analysis, operations and admin, IT and HR.

IA Member £395.00 +VAT
Non-Member £545.00 +VAT

Pay using a credit card online, or if you wish to be invoiced please email your full details to: Training@theia.org

PLEASE NOTE: Full payment for the course must be made prior to the course commencement date.

• Any cancellation must be made in writing.
• For all cancellation received 15-30 days prior to the course start date, 50% of the course fee is still payable.
• No refund is given for a cancellation made 14 days or less prior to the commencement of a course.
• Transferring from one course to another is treated as a cancellation.
• You can substitute one delegate for another at no additional cost. In this instance, please give two business days’ notice.

Hybrid Training Courses:

Hybrid deliveries of our training allows participants on our courses the option to attend in-person here from our offices at Camomile Court, or you can attend virtually via MS Teams.

Please be advised a training course could change from hybrid delivery to solely virtual delivery. In such an event, we will inform delegates at least one week prior to the course delivery date.

There are a limited number of in-person spaces available on this course and this will be allocated on a first come first served basis.