When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.
However, change is coming, and CFOs need to get ready.
Chief Product and Technology Officer, Unit 4.
They will also be better placed to oversee the AI tool to avoid incorrect decisions.
For example, unpredictability in forecasting and planning is a primary challenge.
This also means being able to read all data, in all formats structured and unstructured.
Problem complexity: the AI tool you adopt needs to fit the problem.
Generalist AI models, like conversational AI tools, may not be suited to making decisions for niche challenges.
But the even bigger question is how you deal with randomness.
Phil Wainewright talks about the ingenuity of humans which today AI systems cannot replicate.
How will your AI model cope with randomness?
With LLMs this process can also become inefficient.
It also poses the risk of unreliable data sources being introduced into the model.
Having such checks and balances in place will ensure adopting AI is not a leap of faith.
We’ve compiled a list of the best RPA software.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
