Ashley Fieglein Johnson: Yeah. I would actually say it’s quite the opposite from what you described in terms of, it’s not necessarily that their downsizing because there is not demand for the broader data amounts but rather they pacing the consumption. So that they can get the budget dollars in for the larger deals. So, I can’t think of a number of examples. Off the top of my head, where the customer has used the budget that they had available to get the contract started and to get going with our data. While they line up budget to have a larger, larger consumption later in the year sometimes funds in lineup that takes time. But I think that’s indicative of the fact that they are actually trying to figure out how to get more budget dollars allocated our way versus scaling it back.
Unidentified Participant: Great, thank you. If I could squeeze one more in, I mean in AI you guys mentioned that you have a few different partners that you’re working with in the future, how do you think about sharing economics and how would that work?
Ashley Fieglein Johnson: I mean, you have the data but if they’ve got the processing power, how do you make sure that you’re going to keep your portion profitable and you’re going to protect the data that you have?
Will Marshall: It’s a great question, I mean. Firstly, we’re just so excited about what’s going on in the field of AI here right now. I mean, the power of being able to search the Planet is incredible, and that’s what’s happening with the combination of our data and these new AI tools enhances and speeds up the ability to extract out value for everyone. And we’ve seen a few kinds of use case areas like in defense and intelligence searching for SPY balloons or in disaster response and civil applications like doing building damage assessment is a wide variety of areas. But to your specific question about it. I’d just point out something mentioned a number of times AI without data is useful. You have to train it on data. So, firstly, has a massive stock of data.
It’s a treasure trove for these AI models. And secondly, we have the ongoing daily scan, which is how companies can — and governments can continue to monitor things., and that all because of this unique daily scan. 2014 images on our archive and this daily scan that is what’s opening up all these new applications and that is driving this interest in AI on top of satellite data. And that is that that’s completely unique and proprietary to Planet. So, it puts us in an unusual position and a very powerful one of where a lot of these top AI companies are coming to us because they know that AI without the datasets is really not nearly valuable but once they are combined it with the dataset like that in a powerful position to do these sort of licensing terms and so far they have been pretty favorable to us because of that recognition, I’d say.
Unidentified Participant: Great. Thank you very much.
Will Marshall: [indiscernible]
Chris Genualdi: [indiscernible]
Unidentified Participant: Yes, thanks.
Operator: Thank you. Our next question is from Edison Yu with Deutsche Bank. You may proceed.
Edison Yu: Thanks for taking the questions. First just wanted to follow up, I think you mentioned that you’re going to maintain the EBITDA target. Can you just go over kind of how you plan that offset the lower growth?
