Keynote – AI and Machine Learning in Finance: Transformative Applications
AI and Machine Learning in Finance represent a seismic shift in how the financial sector operates, introducing an era where decision-making is more data-driven, processes are automated, and services are personalized at unprecedented scales. This transition has not only transformed traditional practices but also paved the way for innovations that were once beyond imagination.
In this session, AI & Automation in Finance Adam Shilton discussed the transformative applications of AI and Machine Learning across various aspects of Finance, revolutionizing traditional practices. He also shed light on the latest developments and breakthroughs in applying AI and Machine Learning to various domains of Finance, across controllership, strategic finance, and wider finance roles.
Here are the highlights:
- Adam discussed his journey with AI and how tools like GPT-3 increased his interest and productivity
- Different types of AI like traditional machine learning and generative AI were explained
- Use cases of AI in finance like outlier detection, predictive analytics, and forecasting were demonstrated
- Tips were provided on using tools like Microsoft Copilot and AI Labs to augment skills on small datasets
- The differences between concepts like zero-shot vs few-shot prompting were clarified with examples
- Limitations of generative AI related to variability, token lengths, and dataset sizes were addressed
- Future applications of AI in tools like chatbots, Excel, and Power Automate were predicted
- Attendees were encouraged to learn more about practical AI applications from Adam Shilton’s resources
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