Generative AI
Generative AI is the next big thing, but is it really all it’s cracked up to be? This course will cut through the hype and explain where generative AI shines, where it stumbles, and how to work alongside it rather than be replaced by it.
£100 +VAT
Generative AI
£100 +VAT
This course will enable you to
- Understand generative AI, what it is capable of, and how it can free up your time
- Use generative AI safely and responsibly, and take a lead on generative AI solutions in your organisation
- Recognise areas where generative AI excels and those where generative AI might face challenges
- Explore how AI could affect accountancy in coming years
About the course
Generative AI offers a world where routine accounting tasks are handled by intelligent systems, financial models are generated in seconds, and data-driven insights are at your fingertips. However, while generative AI holds immense potential, it’s crucial to recognise its limitations. And like any technology, its true value depends on how we use it.
This course takes a deep dive into generative AI. We examine how it works, discuss what we can and cannot (or should not) do with it, and explore how to make these AI models work effectively and responsibly for us as trusted accounting and finance professionals.
Contents
Getting to know generative AI
What is generative AI?
A brief history
How it works
Uses of generative AI
In the finance function
Public attitudes
The start of AI regulation
The strengths of generative AI
What generative AI does well
Content creation
Writing and grammar
Assistance with reading
Enhanced research
Coding and software
Data processing
Generative AI in action
The limitations of generative AI
What generative AI does less well
Hallucinations
Legal concerns
Hallucinations in the real world
Understanding context
The importance of good prompts
Generative AI at work
How work is changing
The rise of the generative AI assistants
The impact on accounting
Daily tasks and beyond
Keeping an eye on the downsides
Making generative AI work better for us
How to make AI work for us
Humans in the loop
Private models vs public models
Using AI responsibly
Mistrust and lack of knowledge
Steps to take
How it works
Author
Andy Davis
Andy Davis is a writer on investment, finance and business. He spent 15 years as a journalist on the Financial Times where he held a series of senior roles including editor of FT Weekend. Andy writes for a range of financial publications and is a columnist for Review. He has been named Personal Financial Journalist of the year in the Wincott Awards.
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