But, you know, what are some some other things? data quality effects downstream when a utility is trying to scale its inspection program.

Absolutely.

I mean, it can hit multiple levels and multiple business units in terms of the efficacy or how the drone program may be perceived.

If the drone program or the inspection campaign is not returning the results that are expected, it doesn't necessarily mean it's not worth the opportunity.

The absence of anomalies, as long as it's accurate, is the best case scenario.

However, if you do have anomalies and your data quality is poor and you're missing these anomalies, then you're you're greatly reducing the efficacy of the ROI or of the spend that you're making into this operation.

That can manifest such as erroneous truck roles.

I think we should also tell our audience, what are two or three things that they could do wrong so they can avoid that?