Welcome to the Impact of AI in Finance CPD Course. This page provides a breakdown of the video presentations from our in-person event held on 12 October 2023.
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.
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.
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.
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.
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.
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.
Big Data: A term used to describe extremely large and complex datasets that are difficult to manage and analyze using traditional data processing tools.
Chatbots: AI-powered virtual assistants that can provide customer support, answer inquiries, and perform basic financial tasks through natural language conversations.
Data Intelligence: The process of collecting, analyzing, and interpreting data to extract valuable insights and inform decision-making within an organization.
Data Mining: The practice of discovering patterns, trends, and information in large datasets through statistical techniques, machine learning, and artificial intelligence.
Generative AI: AI systems that can generate new content, such as text, images, or music, often used in content creation and financial forecasting.
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.
Quantitative Finance: The application of mathematical and statistical models, often using AI and machine learning, to financial markets for pricing, risk management, and trading.
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)