AI in finance


Wednesday, May 22, 2019

Print this page Email A Friend!

ARTIFICIAL intelligence (AI) is the emerging technology in the finance function. What are the opportunities?

AI itself is an encompassing term that embraces a number of technological advances including:

•Machine learning — using neural networks, statistics and operational research to identify insights in data without being programmed what to conclude.

•Deep learning — using many layers of computing power and improved training techniques to identify patterns in data.

In delivering an AI solution, you may be combining a number of technologies, for example, enhancing analytics and forecasts by using structured and unstructured data to deliver forward-thinking insights.

Cloud-based storage may be an asset for the data volumes involved and the computational power needed.

Organisations have examples of using forms of AI to address some of the data validation errors encountered in RPA processes by applying machine learning to the errors. Some organisations are creating process chains where data is captured through chatbots, entered using RPA tools, and errors resolved using machine learning.


There are opportunities to apply AI in finance. For many organisations this is the level of opportunity, one which may yet only be emerging as a proof of concept rather than as a robust solution.

Perhaps the most significant issue for finance is the skills needed to support this next technological wave. AI needs individuals who understand the data and the processing capability and how to frame the problem. This takes the skills needed in finance to another level.

Bias is an issue which these individuals need to be able to recognise and address. Bias in output occurs when the input data set is not representative of the outcome and the machine 'learns' in the wrong way. This needs to be identified and corrected before reliance is placed upon the solution.

The following impacts and issues need to be considered:

•Do you have opportunities where the use of AI could improve your decision-making processes?

•Do you have the skills within the team, or can acquire them, to make AI feasible?

•Does your IT strategy support the computational resources needed to deliver on AI?

Key considerations for the finance team

•Identify whether you are ready for AI?

•Ensure that you have the skills and resources required

•Plan your activity and use proofs of concept to pilot and test

•Be prepared to pilot, fail fast and learn.

Clive Webb is a senior professional insights manager at the ACCA.

Now you can read the Jamaica Observer ePaper anytime, anywhere. The Jamaica Observer ePaper is available to you at home or at work, and is the same edition as the printed copy available at




1. We welcome reader comments on the top stories of the day. Some comments may be republished on the website or in the newspaper � email addresses will not be published.

2. Please understand that comments are moderated and it is not always possible to publish all that have been submitted. We will, however, try to publish comments that are representative of all received.

3. We ask that comments are civil and free of libellous or hateful material. Also please stick to the topic under discussion.

4. Please do not write in block capitals since this makes your comment hard to read.

5. Please don't use the comments to advertise. However, our advertising department can be more than accommodating if emailed:

6. If readers wish to report offensive comments, suggest a correction or share a story then please email:

7. Lastly, read our Terms and Conditions and Privacy Policy

comments powered by Disqus



Today's Cartoon

Click image to view full size editorial cartoon