So do you think that could help us bridge that gap? Or is the regulation going to slow that process down as we need deterministic, provable systems?

Where do you think it'll go? This falls under my governance and guardrails category and why projects at all.

And absolutely, the algorithms that are used, the LLMs, the models that are used to power the AI in all its processes and guises are logical.

The biggest challenge is the business process re-engineering that needs to happen to build that foundation layer.

It's the same with the data.

The data quality that we're feeding into a system is going to determine the outputs and the quality of those outputs.

One of the key things alongside the business process re-engineering is the outcomes that we want the AI to do.

The