Impact of AI in Finance (CPD Course)

Impact of AI in Finance: Further Reading

Welcome to the Impact of AI in Finance CPD Course. This page will provide an breakdown of the presentations provided by the AI Experts who kindly provided their insights into AI and its impact in the Financial services sector at our October 12 Event.

This page will also include links to the further reading and glossary of terms for any interested parties to review and examine as part of their CPD and development.

AI in Finance Event Highlights | Exclusive Insights and Key Moments

Watch key highlights from our October 12 event. Discover expert insights and innovations that are shaping key processes, increasing productivity, reducing costs and giving CFOs, Finance Directors and finance leaders better information about their organisation.Join us for a concise recap of the day's highlights.

Introduction to AI and its impact in Finance

Join us as Parrish Pryce-Williams introduces the transformative role of AI in finance. Gain essential knowledge from our Managing Partner on the impact of AI and its potential in your business.

AI in Finance: Academia's Take | Prof. Shenfield & Dr. Al-Tamimi

Explore groundbreaking insights from academia as Prof. Shenfield and Dr. Al-Tamimi of Sheffield Hallam University delve into AI's impact on finance. A must-watch for financial professionals seeking academic perspectives.

AI Powering Industry | Tim Latham's Data Intelligence Expertise

Unlock the potential of AI in finance with Tim Latham, Head of Data Intelligence at Simoda Technology Solutions. Discover real-world industry insights to enhance your financial expertise.

AI in Finance Q&A | Your Burning Questions Answered

Don't miss this exclusive Q&A session with AI finance experts. Get your burning questions answered by Prof. Shenfield, Dr. Al-Tamimi, and Tim Latham. Elevate your finance knowledge for the benefit of your professional development.

Event Glossary

Artificial Intelligence (AI): A field of computer science that focuses on creating systems capable of performing tasks that normally require human intelligence, such as decision-making, problem-solving, and language understanding.

Machine Learning (ML): A subset of AI that involves the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data without explicit programming.

Generative AI: AI systems that can generate new content, such as text, images, or music, often used in content creation and financial forecasting.

Data Intelligence: The process of collecting, analyzing, and interpreting data to extract valuable insights and inform decision-making within an organization.

Quantitative Finance: The application of mathematical and statistical models, often using AI and machine learning, to financial markets for pricing, risk management, and trading.

Big Data: A term used to describe extremely large and complex datasets that are difficult to manage and analyze using traditional data processing tools.

Data Mining: The practice of discovering patterns, trends, and information in large datasets through statistical techniques, machine learning, and artificial intelligence.

Chatbots: AI-powered virtual assistants that can provide customer support, answer inquiries, and perform basic financial tasks through natural language conversations.

Further Reading
For more reading on AI and the potential impact it can have in financial services and your business you can take a look at our further reading blog.

(Estimated time to complete: 5.5 Hours)

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