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Using VR in the classroom is a no-brainer. It’s immersive tech, and can teach kids in new, innovative ways. But if the people developing the technology don’t understand how kids’ brains learn, it’s not going to take, no matter how innovative. VirtualiTeach’s Steve Bambury drops by to explain how he’s trying to bridge that gap.
Alan: Hey, everyone, my name’s
Steve: I’m good, man. It’s good
Alan: It’s really great. The
Steve: I’ve been in Dubai for 11
Alan: Oh wow.
Steve: So it’s been– yeah. I
Alan: You are the VR– You’re
Steve: So yeah. And it is
Alan: Oh, it’s so hot. Oh my
Steve: So I was stuck here this
Alan: [chuckles] So you’ve done
Steve: Yeah, kind of. So in
Alan: Writing a book. By the
Steve: Yeah. Yeah. You know why?
Alan: Yeah.
Steve: So, yeah. So that’s
Alan: I’m on your site now and
Steve: Yeah, that tends to be
Alan: I like it. So Steve, on
Steve: So that’s one of the
Alan: Not cardiopulmonary
Steve: [chuckles] Exactly. Or
Alan: Wow.
Steve: Opening with Alvin
Alan: It’s so funny you say
Steve: Yeah.
Alan: They get around, these
Steve: They do, yeah. So, yeah.
Alan: Grubbs’ been on my show,
Steve: Yeah, he’s a great guy.
Alan: Absolutely. It’s almost
Steve: Obviously, my viewpoint
Alan: See, let’s lay out the
Steve: Ok. I’m going to cheat
Alan: Cool!
Steve: But my keynote
Alan: It’s virtualiteach.com.
Steve: You like my wrecking ball
Alan: I love it. It’s amazing.
Steve: So. Right. So number one,
Alan: It’s interesting that you
Steve: From the psychology point
Alan: Wow.
Steve: Which I found
Alan: That’s weird.
Steve: Yeah.
Alan: Makes no sense.
Steve: You’d think so. Steering
Alan: I’m not going to ask how
[laughs]
“So awesome!”
Steve: Ataris and stuff. But I
Alan: I’m actually stealing this
Steve: Essentially the premise
Alan: Yeah.
Steve: Yeah. You’ve got an
Alan: To be honest, my kids have
Steve: Yeah. Yeah. I mean–
Alan: Say that five times fast.
Steve: These are things that I
Alan: Now, the next one is the
Steve: Yeah. I mean, devil’s
Alan: It’s interesting. We had
Steve: Yeah. I mean, one very
Alan: Time dilation is a proven
Steve: I’ve never heard of that
Alan: Yes, I saw that, too. I
Steve: Now, I haven’t seen the
Alan: Well, Steve, I mean,
Steve: Thank you, Alan. It’s
Using VR in the classroom is a no-brainer. It’s immersive tech, and can teach kids in new, innovative ways. But if the people developing the technology don’t understand how kids’ brains learn, it’s not going to take, no matter how innovative. VirtualiTeach’s Steve Bambury drops by to explain how he’s trying to bridge that gap.
Alan: Hey, everyone, my name’s
Steve: I’m good, man. It’s good
Alan: It’s really great. The
Steve: I’ve been in Dubai for 11
Alan: Oh wow.
Steve: So it’s been– yeah. I
Alan: You are the VR– You’re
Steve: So yeah. And it is
Alan: Oh, it’s so hot. Oh my
Steve: So I was stuck here this
Alan: [chuckles] So you’ve done
Steve: Yeah, kind of. So in
Alan: Writing a book. By the
Steve: Yeah. Yeah. You know why?
Alan: Yeah.
Steve: So, yeah. So that’s
Alan: I’m on your site now and
Steve: Yeah, that tends to be
Alan: I like it. So Steve, on
Steve: So that’s one of the
Alan: Not cardiopulmonary
Steve: [chuckles] Exactly. Or
Alan: Wow.
Steve: Opening with Alvin
Alan: It’s so funny you say
Steve: Yeah.
Alan: They get around, these
Steve: They do, yeah. So, yeah.
Alan: Grubbs’ been on my show,
Steve: Yeah, he’s a great guy.
Alan: Absolutely. It’s almost
Steve: Obviously, my viewpoint
Alan: See, let’s lay out the
Steve: Ok. I’m going to cheat
Alan: Cool!
Steve: But my keynote
Alan: It’s virtualiteach.com.
Steve: You like my wrecking ball
Alan: I love it. It’s amazing.
Steve: So. Right. So number one,
Alan: It’s interesting that you
Steve: From the psychology point
Alan: Wow.
Steve: Which I found
Alan: That’s weird.
Steve: Yeah.
Alan: Makes no sense.
Steve: You’d think so. Steering
Alan: I’m not going to ask how
[laughs]
“So awesome!”
Steve: Ataris and stuff. But I
Alan: I’m actually stealing this
Steve: Essentially the premise
Alan: Yeah.
Steve: Yeah. You’ve got an
Alan: To be honest, my kids have
Steve: Yeah. Yeah. I mean–
Alan: Say that five times fast.
Steve: These are things that I
Alan: Now, the next one is the
Steve: Yeah. I mean, devil’s
Alan: It’s interesting. We had
Steve: Yeah. I mean, one very
Alan: Time dilation is a proven
Steve: I’ve never heard of that
Alan: Yes, I saw that, too. I
Steve: Now, I haven’t seen the
Alan: Well, Steve, I mean,
Steve: Thank you, Alan. It’s
You may not immediately think of XR technologies when you think of Nestlé, who are more likely to conjure the idea of milk chocolate and bottled water. But their immersive technology lead Richard Hess drops by to explain how even a food company like Nestlé can benefit from embracing emerging tech, on the 100th episode of the XR for Business podcast.
Alan: Hey, everyone. Alan
Richard: Hey, Alan. Thanks for
Alan: It’s my absolute pleasure.
Richard: Yeah, that’s right.
Alan: We’re super excited. Why
Richard: Sure. So for myself,
Alan: Realities? All the Rs?
Richard: All the realities.
Alan: I actually wrote an
Richard: Oh yeah, there we go.
Alan: Let’s give an example of
Richard: Well, I think a really
Alan: So how are you measuring
Richard: Well, definitely the
Alan: How are you tracking that?
Richard: Not so much CRM. So I
Alan: Yeah, I think that– this
Richard: Exactly. It will never,
Alan: So I have a couple of
Richard: Yeah. So for the first
Alan: Hold your horses, man.
Richard: Of course, of course. It was quite a lesson learned for us to say, OK, let’s make sure that we’re identifying this up front. We’re building a solution that’s holistic for everyone. So now we have a bit of a mix of different, say, tracking mechanisms or triggers that would enable the experience. But from there, after we did have that fallback option for Latin America, that’s when the brand was more convinced to say, “All right, let’s start to do this for this entire region with all the different machines and coffee corners.” And you look at a total volume for that, you’re looking at around two dozen different models as well. For different use cases outside of, say, this Nestlé professional who sells things. If I take a look at Nespresso, for example, this is something when we look to say, OK, how do we enable quick look or WebAR functions on our e-commerce sites, we are looking at doing the entire range of espresso models and that’s up to around high 80s, 90s, different models that we have with different accessories, different colors, things like this. So we’re starting to kind of get to a point where a lot of people are seeing the value for it and they’re kind of going all in and saying, let’s throw it on our website. Let’s try it out. Let’s get a lot of different feedback and change it as needed. When it comes to the models themselves, it’s a very interesting question and another lessons learned that we had internally for that, because, as you know, there’s almost hundreds of ways to create the more raw CAD file for complex machines, say like coffee machines like Nespresso or things like this, but even point of sales all on this line. So we were dealing with a scenario, where we were getting them in any different type of format in 3D quality that you can imagine, often something as big as multiple gigabytes, something you can’t say put into an AR experience that you expect the consumer is going to deleverage. It wouldn’t work that way. So we had to do a lot of what we called 3D model curation. So we would have to either take the existing model or know what the model that they were trying to bring to life in AR have a lot of the 2D high-res photos of them. Because often you’re selling something like a coffee machine, you have an e-commerce site that’s also selling this. And there’s a lot of photos that have from different sides of the machine. Those have been dumbed down for more high quality ones that have been taken in a product shoot somewhere. So we would have to take either that existing 3D model or 2D photos of those machines, the different dimensions of them and then go through a process of recreating that model that’s kind of AR ready, good to go, something that’s 2 to 3 megabytes, tops that is in kind of glTF, GLB format, something that we can plug and play really easily into an AR or VR experience. So I think for us I think the industry will eventually move towards something where there’ll be some type of automation for that, and an ingestion engine, probably, for taking certain models from different formats and then spitting them out into something that’s AR/VR friendly. And you look at companies like Autodesk have platforms that they’re developing, that say that the goal is to do that. For us, we were more partnering with different providers that had capabilities in that space, to be able to help us bring that to life. People that we’re building their startups or business models around that specific use case, that there’s going to be a content– well, there is; there is a content problem of trying to develop a lot of these things at scale. And they’re gonna help for the first start of that, providing different resources that can create these from scratch, with a more of a long term goal to how do we automate that in the future.
Alan: That’s everybody’s goal. I
Richard: Yeah. So something like
Alan: Yeah, that’s like the
Richard: We do look at
Alan: So easy for us to chase
Richard: It really is. It really
Alan: And it’s interesting. Five
Richard: [laughs]
Alan: They’re like, “Oh,
Richard: Yeah. There’s still a
Alan: Yeah. One of the things
Richard: Exactly. And that’s
Alan: We don’t need to
Richard: Exactly. I mean,
Alan: How are you guys using
Richard: Absolutely. And where
Alan: How did you collect that?
Richard: So the way Nestlé
Alan: Yeah, of course, that
Richard: Yeah. So we use a
Alan: What’s it called?
Richard: Startup Flow. One we
Alan: I was just looking at the
Richard: Yeah, it’s a good tool
Alan: What other ways are you
Richard: Absolutely for
Alan: Are you guys measuring
Richard: Right now, we’re still
Alan: And now, is this something
Richard: Mostly, again, with
Alan: Yep.
Richard: Yeah. Certainly, we’re
Alan: One of the problems we’ve
Richard: Absolutely, no. That’s
Alan: We’ll talk offline.
Richard: There you go. There you
Alan: I didn’t want to highjack
Richard: Mm-hm.
Alan: And having this
Richard: Exactly.
Alan: And maybe wants one
Richard: I think, yeah, for at
Alan: I couldn’t agree with you
Richard: Yeah, agreed.
Alan: You have a unique view
Richard: Thank you, no pressure. [chuckles] There’s two that come to mind. So one that may be more unique to us is when it comes to the food industry or the TP industry as well. Nestlé has made a 2025 commitment to make all their packaging sustainable, 100 per cent recyclable and things like this. If XR — through augmented reality or virtual reality to help sell a story, things like this — can help around helping people recycle. Scanning more about, say, a plastic bottle. Getting more information about it, directing into the nearest recycling center, gamifying it somehow to reward people for doing that. I think that’s something as powerful. And using the reach that we have, we have a billion individual packages that we generate every day, to get the communication out on that and tackle a problem that, frankly, we help generate.
Alan: The Nestlé blockchain
Richard: There you go. Yes. This
Alan: Well, I’d have to say that
Richard: Absolutely.
Alan: Thank you so much for
You may not immediately think of XR technologies when you think of Nestlé, who are more likely to conjure the idea of milk chocolate and bottled water. But their immersive technology lead Richard Hess drops by to explain how even a food company like Nestlé can benefit from embracing emerging tech, on the 100th episode of the XR for Business podcast.
Alan: Hey, everyone. Alan
Richard: Hey, Alan. Thanks for
Alan: It’s my absolute pleasure.
Richard: Yeah, that’s right.
Alan: We’re super excited. Why
Richard: Sure. So for myself,
Alan: Realities? All the Rs?
Richard: All the realities.
Alan: I actually wrote an
Richard: Oh yeah, there we go.
Alan: Let’s give an example of
Richard: Well, I think a really
Alan: So how are you measuring
Richard: Well, definitely the
Alan: How are you tracking that?
Richard: Not so much CRM. So I
Alan: Yeah, I think that– this
Richard: Exactly. It will never,
Alan: So I have a couple of
Richard: Yeah. So for the first
Alan: Hold your horses, man.
Richard: Of course, of course. It was quite a lesson learned for us to say, OK, let’s make sure that we’re identifying this up front. We’re building a solution that’s holistic for everyone. So now we have a bit of a mix of different, say, tracking mechanisms or triggers that would enable the experience. But from there, after we did have that fallback option for Latin America, that’s when the brand was more convinced to say, “All right, let’s start to do this for this entire region with all the different machines and coffee corners.” And you look at a total volume for that, you’re looking at around two dozen different models as well. For different use cases outside of, say, this Nestlé professional who sells things. If I take a look at Nespresso, for example, this is something when we look to say, OK, how do we enable quick look or WebAR functions on our e-commerce sites, we are looking at doing the entire range of espresso models and that’s up to around high 80s, 90s, different models that we have with different accessories, different colors, things like this. So we’re starting to kind of get to a point where a lot of people are seeing the value for it and they’re kind of going all in and saying, let’s throw it on our website. Let’s try it out. Let’s get a lot of different feedback and change it as needed. When it comes to the models themselves, it’s a very interesting question and another lessons learned that we had internally for that, because, as you know, there’s almost hundreds of ways to create the more raw CAD file for complex machines, say like coffee machines like Nespresso or things like this, but even point of sales all on this line. So we were dealing with a scenario, where we were getting them in any different type of format in 3D quality that you can imagine, often something as big as multiple gigabytes, something you can’t say put into an AR experience that you expect the consumer is going to deleverage. It wouldn’t work that way. So we had to do a lot of what we called 3D model curation. So we would have to either take the existing model or know what the model that they were trying to bring to life in AR have a lot of the 2D high-res photos of them. Because often you’re selling something like a coffee machine, you have an e-commerce site that’s also selling this. And there’s a lot of photos that have from different sides of the machine. Those have been dumbed down for more high quality ones that have been taken in a product shoot somewhere. So we would have to take either that existing 3D model or 2D photos of those machines, the different dimensions of them and then go through a process of recreating that model that’s kind of AR ready, good to go, something that’s 2 to 3 megabytes, tops that is in kind of glTF, GLB format, something that we can plug and play really easily into an AR or VR experience. So I think for us I think the industry will eventually move towards something where there’ll be some type of automation for that, and an ingestion engine, probably, for taking certain models from different formats and then spitting them out into something that’s AR/VR friendly. And you look at companies like Autodesk have platforms that they’re developing, that say that the goal is to do that. For us, we were more partnering with different providers that had capabilities in that space, to be able to help us bring that to life. People that we’re building their startups or business models around that specific use case, that there’s going to be a content– well, there is; there is a content problem of trying to develop a lot of these things at scale. And they’re gonna help for the first start of that, providing different resources that can create these from scratch, with a more of a long term goal to how do we automate that in the future.
Alan: That’s everybody’s goal. I
Richard: Yeah. So something like
Alan: Yeah, that’s like the
Richard: We do look at
Alan: So easy for us to chase
Richard: It really is. It really
Alan: And it’s interesting. Five
Richard: [laughs]
Alan: They’re like, “Oh,
Richard: Yeah. There’s still a
Alan: Yeah. One of the things
Richard: Exactly. And that’s
Alan: We don’t need to
Richard: Exactly. I mean,
Alan: How are you guys using
Richard: Absolutely. And where
Alan: How did you collect that?
Richard: So the way Nestlé
Alan: Yeah, of course, that
Richard: Yeah. So we use a
Alan: What’s it called?
Richard: Startup Flow. One we
Alan: I was just looking at the
Richard: Yeah, it’s a good tool
Alan: What other ways are you
Richard: Absolutely for
Alan: Are you guys measuring
Richard: Right now, we’re still
Alan: And now, is this something
Richard: Mostly, again, with
Alan: Yep.
Richard: Yeah. Certainly, we’re
Alan: One of the problems we’ve
Richard: Absolutely, no. That’s
Alan: We’ll talk offline.
Richard: There you go. There you
Alan: I didn’t want to highjack
Richard: Mm-hm.
Alan: And having this
Richard: Exactly.
Alan: And maybe wants one
Richard: I think, yeah, for at
Alan: I couldn’t agree with you
Richard: Yeah, agreed.
Alan: You have a unique view
Richard: Thank you, no pressure. [chuckles] There’s two that come to mind. So one that may be more unique to us is when it comes to the food industry or the TP industry as well. Nestlé has made a 2025 commitment to make all their packaging sustainable, 100 per cent recyclable and things like this. If XR — through augmented reality or virtual reality to help sell a story, things like this — can help around helping people recycle. Scanning more about, say, a plastic bottle. Getting more information about it, directing into the nearest recycling center, gamifying it somehow to reward people for doing that. I think that’s something as powerful. And using the reach that we have, we have a billion individual packages that we generate every day, to get the communication out on that and tackle a problem that, frankly, we help generate.
Alan: The Nestlé blockchain
Richard: There you go. Yes. This
Alan: Well, I’d have to say that
Richard: Absolutely.
Alan: Thank you so much for
Verizon’s XR development lead, TJ Vitolo, dreams of a day where he can download an entire TV series in an instant, or visualize info about the entire world with AR glasses, even living in a connectivity dead zone by the beach. In his position, he’s able to work to make that dream a forthcoming reality by developing the technology that will make 5G possible.
Alan: Welcome to the XR for
TJ: Hey, thanks for having me,
Alan: Oh, it’s my absolute
TJ: It’s quite dynamic here. You
Alan: So you’ve got both the
TJ: It’s going to be a mixture
So walk me through your platform that
It was in the market. So we pulled back
Alan: Absolutely, one of the
TJ: Thank you. Yeah, I think AR,
Alan: You know, you’re taking
TJ: It’s a massive amount of
Alan: Yeah, the Metastage.
TJ: With a handful of cameras
Alan: So, what 5G XR use case–
TJ: Yeah, it’s an interesting
Alan: [laughs] Oh my god, that’s
TJ: That’s the platform that we’re building, right? That’s the vision. Now, on top of that, once you do that, the world sort of your oyster in terms of what the use cases are. And enterprise is definitely the first entry point into that, because we will go through this evolutionary process with hardware for glasses, that it’s not just the compute– and we’re solving compute problems, but you do have to solve the display problem, and you have to solve a couple other things. But ultimately, at the end of the day, reduce battery power on that device, reduce battery size, reduce battery power by reducing compute on that device. And then ultimately, at the end of the day, through that step by step process, you get something in. But in the meantime, you’re going to get that adoption in the enterprise space. And so we look at — from a use case standpoint within our enterprise organization — things like worker safety, and obviously things around efficiency and improvements of workers within environments. And specifically in the industrial space right now, which seems to be where a lot of the opportunity sits, at least from companies that have been coming to us, interested in the space. There’s only so much that you can do to [inaudible] certain verticals within a market to adopt a technology. And a lot of them are a lot more forward thinking than others. So we start there.
Alan: It’s interesting that you
TJ: It’s amazing and it’s
Alan: Interesting. I guess what
TJ: We’re looking at a few with the underlying premise that you’re trying to merge the physical and digital worlds together. And so retail was– is a very big area for us, both front office and back office, or consumer focus and then back office. So if we’re looking at the consumer front for a second, we’re looking at the really interesting and I think most people can relate to use case. Here’s where I go into a retail store, and then I’m always on my phone looking at ratings, reviews, pricing information, and other things with respect to those physical products that are on the shelf. And I spend a lot more time on my phone than I actually do perusing and browsing the stuff on the shelf. And so really what we want to do is merge that physical and digital divide, by having a pair of mixed reality glasses that as you’re walking down that store — using a 5G powered headset — you’re literally taking in all the information within your field of view about a set of products and services. So now I’m standing in front of a set of consumer electronics devices, and I want to know which ones are the best rated, which one has the best value. All the stuff that’s typically online, now I can have all that stuff instantly overlaid on top of those products, whether it be makeup or electronics, or even clothing. And then take that off the rack and go and purchase it. So that’s one of the retail experiences. Other has a safety component to it, the one that you saw us demo. I have a family. I spend an inordinate amount of time at the grocery store looking at the backs of boxes, if they contain certain allergens for my family. Now I can tell my glasses to filter for products that are gluten-free, [inaudible], or kosher, whatever might be the case, then instantly everything within my field of view will light up based on those requirements.
Alan: Do you think that will be
TJ: I think it’ll be a
Alan: I know Google and Amazon
TJ: That’s a great question. Like I said, I think that going back to sort of the chokehold that current existing networks placed on augmented reality, there’s a couple areas where I see a big amount of potential for a mobile device. And I think a lot of that fits around potentially markets where you have growing economies. You look at APAC and other areas around the world, where they don’t have access to certain types of [inaudible] medical facilities. So one of the things that I saw that was really interesting, is how you could use a mobile phone and computer vision help diagnose patients, by using computer vision and artificial intelligence to look for signs that you wouldn’t necessarily be trained or have access to. One of the interesting use cases I saw was to help support a potential phlebotomist out in the field, where they’re using a phone to detect veins, so they don’t mispuncture a vein in the arm. They could do it right the first time, and completely limit the opportunity for infection.
Alan: I think that’s the
TJ: Mm-hm, mm-hm.
Alan: Yeah, it’s really great.
TJ: And I think that’s
Alan: Absolutely. And as more
TJ: Yeah, we we touched on this
Alan: Yeah, it’s great.
TJ: –you can literally create
Alan: You nailed it. By changing
TJ: It was an interesting one.
Alan: How do you measure the
TJ: That’s a great question. And
Alan: I want to shift away from
TJ: I think adoption is
Alan: It’s interesting that you
TJ: Yeah, no, absolutely. I
Alan: So what is the most
TJ: Yeah, I think any company
Alan: We actually started
TJ: If you look at where we were
Alan: That’s insane.
TJ: It really makes on demand
Alan: OK. I got to just… what
TJ: It’s quite crazy. Again,
Alan: That was our entire
TJ: This is an SAP, right? I
Alan: Amazing. Some of the cost
TJ: It’s an insane amount of
Alan: So with that, last
TJ: I want to see people’s lives
Alan: Oh, I love that. Striving
TJ: Thanks, Alan. I look forward
Verizon’s XR development lead, TJ Vitolo, dreams of a day where he can download an entire TV series in an instant, or visualize info about the entire world with AR glasses, even living in a connectivity dead zone by the beach. In his position, he’s able to work to make that dream a forthcoming reality by developing the technology that will make 5G possible.
Alan: Welcome to the XR for
TJ: Hey, thanks for having me,
Alan: Oh, it’s my absolute
TJ: It’s quite dynamic here. You
Alan: So you’ve got both the
TJ: It’s going to be a mixture
So walk me through your platform that
It was in the market. So we pulled back
Alan: Absolutely, one of the
TJ: Thank you. Yeah, I think AR,
Alan: You know, you’re taking
TJ: It’s a massive amount of
Alan: Yeah, the Metastage.
TJ: With a handful of cameras
Alan: So, what 5G XR use case–
TJ: Yeah, it’s an interesting
Alan: [laughs] Oh my god, that’s
TJ: That’s the platform that we’re building, right? That’s the vision. Now, on top of that, once you do that, the world sort of your oyster in terms of what the use cases are. And enterprise is definitely the first entry point into that, because we will go through this evolutionary process with hardware for glasses, that it’s not just the compute– and we’re solving compute problems, but you do have to solve the display problem, and you have to solve a couple other things. But ultimately, at the end of the day, reduce battery power on that device, reduce battery size, reduce battery power by reducing compute on that device. And then ultimately, at the end of the day, through that step by step process, you get something in. But in the meantime, you’re going to get that adoption in the enterprise space. And so we look at — from a use case standpoint within our enterprise organization — things like worker safety, and obviously things around efficiency and improvements of workers within environments. And specifically in the industrial space right now, which seems to be where a lot of the opportunity sits, at least from companies that have been coming to us, interested in the space. There’s only so much that you can do to [inaudible] certain verticals within a market to adopt a technology. And a lot of them are a lot more forward thinking than others. So we start there.
Alan: It’s interesting that you
TJ: It’s amazing and it’s
Alan: Interesting. I guess what
TJ: We’re looking at a few with the underlying premise that you’re trying to merge the physical and digital worlds together. And so retail was– is a very big area for us, both front office and back office, or consumer focus and then back office. So if we’re looking at the consumer front for a second, we’re looking at the really interesting and I think most people can relate to use case. Here’s where I go into a retail store, and then I’m always on my phone looking at ratings, reviews, pricing information, and other things with respect to those physical products that are on the shelf. And I spend a lot more time on my phone than I actually do perusing and browsing the stuff on the shelf. And so really what we want to do is merge that physical and digital divide, by having a pair of mixed reality glasses that as you’re walking down that store — using a 5G powered headset — you’re literally taking in all the information within your field of view about a set of products and services. So now I’m standing in front of a set of consumer electronics devices, and I want to know which ones are the best rated, which one has the best value. All the stuff that’s typically online, now I can have all that stuff instantly overlaid on top of those products, whether it be makeup or electronics, or even clothing. And then take that off the rack and go and purchase it. So that’s one of the retail experiences. Other has a safety component to it, the one that you saw us demo. I have a family. I spend an inordinate amount of time at the grocery store looking at the backs of boxes, if they contain certain allergens for my family. Now I can tell my glasses to filter for products that are gluten-free, [inaudible], or kosher, whatever might be the case, then instantly everything within my field of view will light up based on those requirements.
Alan: Do you think that will be
TJ: I think it’ll be a
Alan: I know Google and Amazon
TJ: That’s a great question. Like I said, I think that going back to sort of the chokehold that current existing networks placed on augmented reality, there’s a couple areas where I see a big amount of potential for a mobile device. And I think a lot of that fits around potentially markets where you have growing economies. You look at APAC and other areas around the world, where they don’t have access to certain types of [inaudible] medical facilities. So one of the things that I saw that was really interesting, is how you could use a mobile phone and computer vision help diagnose patients, by using computer vision and artificial intelligence to look for signs that you wouldn’t necessarily be trained or have access to. One of the interesting use cases I saw was to help support a potential phlebotomist out in the field, where they’re using a phone to detect veins, so they don’t mispuncture a vein in the arm. They could do it right the first time, and completely limit the opportunity for infection.
Alan: I think that’s the
TJ: Mm-hm, mm-hm.
Alan: Yeah, it’s really great.
TJ: And I think that’s
Alan: Absolutely. And as more
TJ: Yeah, we we touched on this
Alan: Yeah, it’s great.
TJ: –you can literally create
Alan: You nailed it. By changing
TJ: It was an interesting one.
Alan: How do you measure the
TJ: That’s a great question. And
Alan: I want to shift away from
TJ: I think adoption is
Alan: It’s interesting that you
TJ: Yeah, no, absolutely. I
Alan: So what is the most
TJ: Yeah, I think any company
Alan: We actually started
TJ: If you look at where we were
Alan: That’s insane.
TJ: It really makes on demand
Alan: OK. I got to just… what
TJ: It’s quite crazy. Again,
Alan: That was our entire
TJ: This is an SAP, right? I
Alan: Amazing. Some of the cost
TJ: It’s an insane amount of
Alan: So with that, last
TJ: I want to see people’s lives
Alan: Oh, I love that. Striving
TJ: Thanks, Alan. I look forward
Macy’s has been in the news a lot this week, and many are worried about what the latest round of store closures mean for the long-running retailer, and the future of in-person shopping in general. But Macy’s resident XR guru Mohamed Rajani came by our podcast a little while back to suggest that the future of retail exists in the virtual world.
Alan: Welcome to the XR for Business Podcast with your host, Alan Smithson. Today’s guest is Mohamed Rajani, responsible for VR and AR initiatives at Macy’s. Mohamed is part of the new Business Development and Innovation team at Macy’s, and is responsible for driving change through the development of new retail concepts and partnerships amidst an evolving retail landscape. “Mo” also leads Macy’s immersive technology initiatives, including VR and AR in furniture, which is removing key friction points for the customer, enabling an AR view in-room capabilities on the Macy’s mobile app. To learn more about the work he’s doing, you can visit macys.com.
Mohamed, welcome to the show.
Mohamed: Thank you. Thanks for
Alan: We had the opportunity to
Mohamed: So just a little bit of
So if we think about from that context
This was 2016, into 2017. We started
Alan: You’re talking about
Mohamed: The ultimate goal–
So the ultimate goal for us is to
Alan: Let’s talk numbers. You’ve
Mohamed: The first two stores
Alan: Hold on. What?
Mohamed: Yeah.
Alan: Sorry. The basket size.
Mohamed: The dollars for a
Alan: I don’t believe you.
Mohamed: [chuckles] Well, that’s
Alan: Can you walk us through
Mohamed: Well, the experience
Alan: Can you add windows when
Mohamed: You can at windows,
Alan: Can you change the wall
Mohamed: You can change the wall
Alan: One of the metrics that I
Mohamed: So typically furniture
Alan: So 60 percent increase in
Mohamed: They’re not. They’re
Alan: Yeah, and that’s what I
Mohamed: If you asked me this
And then it was up to my team to start
Alan: Wow. OK. So there’s one
Mohamed: That’s the beauty of
The key there is that if we can expand
Alan: What is the footprint of
Mohamed: The VR space today is–
Alan: So 60 percent increase in
Mohamed: Exactly right. And so
Alan: Let me ask you a personal
Mohamed: That’s a good question.
Where the beauty for us is, our
Alan: Clothing, for example, it
Mohamed: It’s not there yet.
Alan: If we figure this out,
Mohamed: I mean, you’ve piqued
Alan: Yeah, absolutely.
Mohamed: Macy’s as a brand as
Alan: It’s true. And being able
Mohamed: Absolutely. And that’s
We’ve got one of the highest-rated
I think if you think about the beauty
Alan: There’s so many
Mohamed: So– we’re not. Not
Alan: I have one for you. So on
Mohamed: I mean, all year. I
Alan: There’s so many great
Mohamed: And that’s the key,
Alan: Absolutely. What advice
Mohamed: Technology for
Alan: Mo, this has been really,
Mohamed: No, I’m happy to. And I
Alan: It only serves to decrease
Mohamed: If you think about it,
Alan: Well, it sounds like you
Mohamed: So I will be biased,
Alan: Thank you again for taking
Mohamed: My pleasure. Thanks for
This week’s episode goes all the way back to last year’s Curiosity Camp, when Alan shared a ride with Unity Lab’s Timoni West and Vapor IO CEO Cole Crawford, recording a podcast along the way. The three discuss the challenges that will arise as AI begins to replace human workers.
Alan: In a very special episode
Timoni: Director of XR in Unity
Alan: Director of XR at Unity
Timoni: They are enormous.
Alan: Oh, my God. Wow. Well,
Timoni: Excellently. And I’m
Cole: And that’s very needed.
Timoni: So it’s cool that you
Cole: Well done. But yeah, I
Timoni: Yeah, I want to hear it.
Cole: Yeah. So we have to think
Alan: So basically what you’re
Cole: It’s fair to say that the
Alan: Haha! Which democratizes
Timoni: You know, it’s funny; I
Cole: A rack unit.
Timoni: A rack unit. Yeah,
Cole: Absolutely. Yes. And some
Timoni: Exactly.
Alan: I think that’s the real
Cole: It has to be, right? It
Alan: Well, even the new
Timoni: And the image quality
Alan: They’re very lightweight,
Cole: And this is what’s amazing
Alan: You know what? I’ll take a
Timoni: It’s just like Lord of
Alan: We’re driving with
Timoni: Talking about AR.
Alan: In an enormous tank of a
Cole: It’s true. But the pace of
Alan: Actually I got to say
Timoni: Oh, that’s amazing.
Alan: And then Chris Milk put VR
Cole: And isn’t that what got
Alan: Yeah.
Timoni: That’s… Wow. That is
Alan: Well, I was in tech
Timoni: It’s all coming together
Cole: It totally is.
Alan: You were to talk about
Timoni: Also, I truly believe
Cole: I got chills, that you
Timoni: Yeah. That is… wow,
Cole: It’s a hundred percent
Timoni: Yeah.
Cole: He said to measure is to
Timoni: I love that.
Cole: It’s a really cool quote.
Timoni: And there’s different
Cole: And different resolutions.
Alan: And then foveated
Cole: Its refresh rate. You’re
Alan: And then that’s not
Cole: That’s 100 percent
Alan: That’s all I think about.
Cole: Yeah, it’s incredible, the
Alan: It’s super human.
Cole: It’s going to change. It’s
Timoni: Yeah.
Alan: I can’t wait till we go to
Timoni: I just said this
Alan: It’s interesting. I wrote
Timoni: Or it hides it so I
Alan: Exactly.
Timoni: Let me give you an
Alan: I don’t know.
Timoni: I’m having trouble with
Alan: I think everyone is going
Timoni: We’ll build
Cole: As you say in your side
Alan: It makes no sense.
Cole: It makes no sense.
Timoni: Yeah.
Alan: It’s because we don’t have
Cole: Exactly correct. Exactly
Alan: But here’s the thing.
Timoni: I really don’t want to
Alan: That’s pretty cool.
Timoni: Have them go down to the
Cole: One hundred percent. And I
Timoni: By the way, he looks
Cole: Very. Yeah, this is like
Timoni: I always imagine the
Cole: Yeah, yeah. You don’t get
Alan: But when it’s not…
Cole: [crosstalk] I’m all for
Alan: I don’t think people are
Timoni: What are you worried
Alan: So here’s what I’m worried
Cole: Look, we hope so. But I
Timoni: Okay. So if in the
Alan: I think we just have to
Cole: Do you want to?
Alan: I think we should.
[Intermission]
Timoni: So one thing I point out
Alan: I think we can fix making
Cole: A hundred percent. If the
Timoni: Lessen the human burden,
Cole: Well, look, if there’s
Alan: One of my friends, Floyd,
Timoni: I think it’s gonna
Alan: I agree with that.
Timoni: A lot of people are
Alan: Here’s my challenge to
Timoni: Today, you mean?
Alan: Yes, right now.
Timoni: Shareholder value.
Alan: Economics. Yes. How much
Timoni: And that has always
Alan: It’s artificial
Cole: Not “nothing.”
Timoni: But that has been the
Alan: We are that.
Cole: I feel like the hardware
Timoni: Yes, totally. Totally.
[Intermission]
Alan: So we just got back in the
Cole: We were talking about
Timoni: Actually come into play
Cole: Yes. Yeah. Actually
Alan: The thing is, it’s not
Timoni: So… and two things
Alan: But it could also
Timoni: That is not going to
Alan: Or buildings, which I’ve
Timoni: Oh, you mean like an AI
Alan: Exactly.
Timoni: Sure.
Alan: So the content for
Timoni: So you touched on this a
In Infinity War, they literally had, I
Yes, but if we did use data, we’d be
Cole: So I always come back to
Timoni: And that’s how you end
Cole: [Laughs] that’s exactly
Timoni: But here’s a cool thing.
Cole: Yeah, I don’t know if
Timoni: You know, I love that.
Alan: We don’t need to feed
Timoni: Exactly. It’s what is
Cole: No, I think you’re
Alan: I think this road has
Cole: Yeah, it’s gotten
Alan: The road went from two
Timoni: It’s very s-curvy right
Alan: It’s pretty beautiful.
Timoni: And it’s right dappled,
Cole: Right. We’re going further
Alan: Yeah. This is great.
Timoni: So getting back to
Alan: I’ve got news for
Timoni: I mean, it’s true.
Alan: “Make better health
Sure. But if I’m at Disneyland, which
[interest]
. You can’t make the lines shorter. Right? So why not make
Alan: It’s a great analogy. OK,
Timoni: So I would like to see a
Alan: Turn off all your
Cole: Yes.
Alan: Turn them all off. You’re
Timoni: I do the same thing.
Cole: How about a better life
Timoni: Oh, interesting.
Alan: Wow.
Timoni: You do that?
Cole: Yeah.
Alan: Do you really?
Cole: Yeah. Yeah. I mean, yeah.
Timoni: Are you carrying an
Cole: No it’s so good for your
Alan: Pays the bill.
Cole: Pays the bill! Put it
Alan: Yeah.
Timoni: That can lead to some
Alan: “We’re not leaving,
Timoni: That’s cool. But any
Alan: Ahh, the tabs that you
Right. And you can drag and drop in
Cole: Quantum, baby. It was only
Timoni: Ok, so let’s talk
Alan: Let’s talk quantum.
Timoni: Should we pause and
Cole: I think we should quantum
Alan: So, part 3 of this podcast
[Intermission]
Cole: …government was any
Alan: And you can cancel it.
Cole: Exactly. You can expose…
Timoni: So for context, we’re
Alan: That’s the simple answer.
Timoni: In the world that we
Cole: Yeah. And I just think
Alan: What if — ready? What if
Timoni: What is this,
Yeah, well, I come from Canada — we
Timoni: What the profits are..?
Alan: The profits would come
Timoni: Sounds a little caste-y.
Alan: I’ve been working on
Timoni: So one thing that has
Alan: Because it’s usually by
Timoni: But why do you think
Alan: Well, why do you think you
Cole: Is it fair to say that
Alan: I see what you did there.
Timoni: But why can’t we just do
Alan: This is what I’m
Cole: Yeah, I think this has to
Alan: 44 zettabytes by 2020.
Cole: Correct. And 120
Timoni: I didn’t even know what
Cole: A zettabyte is a thousand
Alan: Thank God we have a data
Cole: Beyond the Internet of
Alan: And what if the only goal
Timoni: Have you read The
Cole: Yes.
Timoni: The Diamond Age has
Alan: I’ve got to read that.
Cole: Yeah, it’s good. That’s
Timoni: Like Usenet?
Cole: A little bit. A little
Timoni: Oh, I’ve heard of it.
Cole: Fantastic Michael Lewis
Alan: I think the major problems
Cole: Money makes the world go
Alan: You ended up with a
Cole: That’s right.
Alan: And here’s the thing. Many
Cole: So you know, the guy that
Alan: Yeah.
Cole: –is that Curiosity Camp,
Alan: Wow.
Timoni: All right. Well, we’ll
Alan: Let’s have a little
Cole: He was the guy that went
Alan: Well, he saw an
Cole: If you guys are out for
Alan: I love it.
Timoni: This is awesome.
Cole: You were talking about,
Timoni: Yeah. Yeah. Exactly.
Cole: Do you guys know this guy,
Timoni: No.
Cole: John LeFevre has the
Timoni: OK. OH! Yes. Yes. Yes.
Cole: So he actually never
Timoni: It’s partly like
Cole: Yeah, I couldn’t agree
Timoni: Right. You can see how
Cole: Totally. C’est la vive.
Timoni: No, “So say we
Alan: Interchangeable. So we
Timoni: I feel like rowing a
Alan: We are in a boat of a
Timoni: Oh, so speaking of, you
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