So where do you see AI making food safety teams smarter and more efficient, but where are really humans still holding the line?

Absolutely, the AI tools can help our teams process complexity faster and more consistently at scale than we can in real time.

It certainly helps us to organize all of the data that our systems generate, whether it's environmental sampling trends or product testing.

And again, as already been said, helps us see those signals sooner so that that data is not so fragmented and we can kind of look at it in its totality to define risk.

However, we still need humans at the central part of those escalation decisions.

We still need the human interface to understand operational nuance.

Algorithms are not going to be able to look at the nuance of our systems and make those determinations.

But as we mentioned today, AI, at least as I think about it, is really about enhancing our commitment food safety and quality and accelerating continuous improvement in this area and other areas where it will be used and it's going to allow us to complement and extend the expertise and the processes we have in place it's not going to take away