Quantum Finance: Preparing for the Next Leap in AI and Computing
Time:
10:00 AM PDT | 01:00 PM EDT
Duration:
60 Minutes
Webinar Id:
55442
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Overview:
This forward-looking webinar explores how quantum computing and advanced AI could reshape the future of finance. Attendees will gain a practical understanding of what quantum computing is, why it matters to finance, and which financial processes could be transformed over the coming years.
The session will cover potential applications in risk management, portfolio optimization, fraud detection, forecasting, cybersecurity, financial modelling, and scenario analysis. It will also examine the challenges of adoption, including cost, infrastructure, regulation, skills shortages, and uncertainty around timelines.
By the end of the session, attendees will have a clearer understanding of the opportunities and risks associated with quantum finance and what steps organizations can take now to prepare for the next wave of technological change.
Why you should Attend:
Many finance professionals are already focused on AI, automation, and digital transformation, but far fewer are paying attention to the longer-term impact of quantum computing.
Organizations that fail to prepare for quantum-driven change may struggle to keep pace with competitors that are investing early in quantum capabilities, advanced analytics, and next-generation finance technologies.
There are also significant risks to consider, including cybersecurity threats, data encryption vulnerabilities, changing regulatory requirements, and the potential disruption of existing financial models and systems.
This session provides a practical, non-technical overview of what quantum finance means, how it may affect the future of finance, and what leaders can do now to prepare.
Areas Covered in the Session:
- Introduction to quantum computing and how it differs from traditional computing
- The relationship between quantum computing and AI
- Why finance is likely to be one of the most impacted industries
- Potential use cases for quantum computing in finance, including:
- Portfolio optimization
- Risk analysis and stress testing
- Fraud detection and anomaly identification
- Forecasting and predictive analytics
- Algorithmic trading and market simulation
- Cash flow modeling and liquidity analysis
- Complex scenario planning and decision-making
- Encryption, cybersecurity, and data protection
- The opportunities and risks of quantum finance
- How quantum computing could impact financial leadership and strategy
- Regulatory, ethical, and governance considerations
- The future skills finance professionals may need
- Practical steps organizations can take to prepare today
Who Will Benefit:
- CFO's and Finance Directors
- Financial Analysts and Quantitative Analysts
- FP&A Professionals
- Treasury and Risk Management Professionals
- Investment and Portfolio Managers
- Finance Transformation Leaders
- CIO's, CTO's, and Technology Leaders
- Strategy, Innovation, and Digital Transformation Professionals
- Audit, Governance, and Compliance Professionals
- Consultants and Advisory Professionals
Speaker Profile
Mike Cunningham is an AI workflow trainer and webinar presenter with a background in multimedia, digital communication, and practical workplace training. He focuses on helping professionals understand how tools such as Claude, ChatGPT, and other AI platforms can be used in realistic, controlled, and commercially useful ways.
Drawing on his experience across multimedia production, communication, and professional development, Mike specialises in translating complex AI concepts into clear, practical workflows. His sessions are designed to help attendees move beyond generic AI demonstrations and understand how AI can support everyday tasks such as drafting, summarising, documentation, reporting, client communication, process improvement, and workflow efficiency.
Mike’s training style is direct, accessible, and workflow-led. He places strong emphasis on responsible AI use, including confidentiality, human review, data boundaries, and professional judgement. Rather than presenting AI as a replacement for expertise, he helps professionals identify where AI can save time, improve clarity, and support better working practices.
Across multiple professional service industry topics, Mike aims to give attendees practical examples they can assess, adapt, and apply within their own roles. His approach combines clear communication, structured teaching, and a strong focus on making emerging technology useful, understandable, and safe for professional environments.