Quality AI in Investment Management

Are you ready to harness the power of Artificial Intelligence whilst ensuring quality and mitigating risks in your investment management processes?
The Investment Association invites its members to an exclusive webinar focused on applying proven quality frameworks to the deployment of AI in investment management. In this dynamic session, you will gain actionable insights and practical tools to confidently navigate the evolving AI landscape.

Why Attend?

• Understand the Stakes: Explore core investment management processes where AI is being implemented, uncover potential failure modes like data bias and model drift, and gain a clear picture of the risks involved.
• Discover Proven Frameworks: Learn how established quality competencies from the Chartered Quality Institute and the DMAIC (Define, Measure, Analyse, Improve, Control) lifecycle can provide a structured approach to AI quality assurance.
• See Real-World Application: Examine an investment management case study showcasing the practical application of quality methods and the resulting impact on key performance indicators.
• Gain Actionable Tactics: Walk away with best practices and tools, including prioritisation matrices, governance operating models, and insights into essential organisational roles.
• Address Your Concerns: Participate in live Q&A to get your specific questions answered by the experts.

Learning Takeaways:

By attending this webinar, you will be able to:

• Recognise the critical importance of AI quality within the investment management sector.
• Understand how to apply established quality frameworks to the AI lifecycle in your organisation.
• Identify key risks associated with AI deployment in investment management and strategies for mitigation.
• Gain practical knowledge of best practices and tools for ensuring AI quality.
• Learn from a real-world case study demonstrating the impact of quality methods on AI initiatives.

If you would like to learn more about the use of quality competencies in AI, we are pleased to provide you with a copy of the paper:

📘Maximising AI Impact Using Quality Competencies - equitably.ai

Authored by John Paul Danaee, CEO of equitably.ai and Chartered Quality Professional. The paper outlines how quality-led practices can help scale AI initiatives safely and effectively, especially in the context of FCA expectations and emerging standards like ISO 42001.