John Chen: Right, we have, because we believe our fundamentals are so strong and because we believe our new product, 8.0 scalability is so good. We are not slowing down any of our appetite at all. We are steadfast moving forward. IoT is hiring people. So we don’t worry about us kind of taking our foot off the gas pedal. That’s not going to happen.
Luke Junk: Understood. Thank you.
John Chen: Sure.
Operator: And our next question today comes from Trip Chowdhry with Global Equities Research. Please go ahead.
John Chen: Hi, Trip.
Trip Chowdhry: Thank you very much. Hello, John. The auto industry seems to be super exciting with QNX and now at least companies like NXP, they term something like you talk IoT as Edge Square, where they put a lot of AI and they call tiny ML that powers these devices. I was wondering, like QNX definitely with the low footprint and real time operating system is ideal. But I was also wondering, have you come across some new sensors, the categories that may have been created because of AI in the Edge and these neural network processors like NXP that they make. The industry is trying to — industry structure is changing. That’s my basic question is a tiny ML, Edge Square, QNX and some new use cases that may be evolving. So I was wondering if you have any thoughts on that?
John Chen: Yeah, it’s a good point. I think it’s still, what you’re explaining, I read it, it’s still early in the industry. And I also want to emphasize the fact that we are an embedded operating system, real-time secure operating systems. And so we tend to go into the MPU type, the central complex, computing complex. So the Edge of this, which will be driven with different new use cases, some of them are AI based and all that, but that’s a level higher than us. So and of course we will be benefiting from it from needing more central compute power. So I guess we do benefit from it. We don’t directly go create a selling motion into the Edge. And that Edge selling motion and use cases are created by the code that is on the stack, that is one level above us.
Trip Chowdhry: Excellent.
John Chen: Is that makes sense?
Trip Chowdhry: Yes, I got it. The second question is regarding IVY, phenomenal traction on the developer side, apps, I don’t know, probably we are about six, eight months away from it. But I was wondering, have you come across any new categories of apps that may be coming on top of IVY? And that’s all for me. Thank you very much.
John Chen: Well, the AI and sensing, actually interesting, back to your first question. You know, the different type of sensors that’s being demanded in a car, you know, we have seen, different types and more increased and more complex. And like one of the example when I talk about CorrActions was they monitor the sensors on the steering wheel. And then through that, they monitor and they help define the micro muscles of the individual. So and then dictate or indicates what the status of the driver. So on an alertness basis and awareness basis. So this is a little bit more esoteric than just, you know, measure whether the, you know, how much gas you have in the tank or how much charging amps that you still have before you need to do the next charge. So we have seen more and more modern type applications, but I still believe for the initial usage of IVY, it’s going to be very fundamentally managing the safety and the comfort of the car.
Trip Chowdhry: Got it. Thank you so much.
John Chen: Thank you, Trip.
Operator: And our next question today comes from Paul Treiber with RBC Capital Markets. Please go ahead.
John Chen: Hi, Paul. Good afternoon.
Paul Treiber: Hi, John. Good afternoon. Just in regards to your comments about Q4 being the best quarter for IoT, how do we think about the momentum beyond Q4 like do you expect it to be carried through to the subsequent year or is it more just a one-quarter phenomenon?
