See how operators are scaling fiber operations with AI.

Hi, my name is Nicolas, I'm a Senior Solution Engineer for AI at IQGeo and today I'll be taking you through a little demo of our video solution and how it helps field operations to be automated. If you can follow me, so this is our native application that we've built for the field, so all hacked as an engineer for today. I have a job assigned to me, basically it's a simple customer installation flow that we have. You can see there's a bunch of pictures I need to take in order to document and validate my work. So first one is actually quite simple, it's just a photo of the distribution point and power meter. So I can just click on taking a photo, that will actually show me examples of what good pictures look like. So you can see it's just a simple help of helping the user take a picture. I'll just be uploading a few pictures through the gallery so that it actually shows how it looks like. So I'll select the photo, it's straight away to AI for analysis and I'll get real-time feedback on both the quality of the picture and the quality of my work. So this is the picture that I took, we can see the distribution point, we can see the power meter and that's the feedback we give to the user. First and foremost we've added the picture is actually valid, it's not showing anything else, it's not showing the technician's fit. It's actually a right live photo that we expected. And then we can go to actually extract some information from the picture. So for example the power meter attenuation and all of this data can then be used to populate any inventory or system of records. So here everything is correct in the picture, I can just go on and click on continue. And the first one is just mark as validated, progress bar has been updated. If I want to take the second picture here of the open fiber termination point, it's actually the last part of the network that goes into the customer home. So this is the picture that I take, I submit it. Again, same principle is being automatically analyzed by our AI models and that will be given with the real -time feedback on the quality of the job itself. So again, just a few seconds, I get the photo is the correct one, we can see the fiber termination point. And then we can have a bunch of tasks that are being performed. So we detect the zip ties are properly there, so the cables are secured. And then we actually do validate as well that the cable is properly connected. You can see it's highlighted on the picture so we're actually transparent to the user as well on where the AI flags something. But in this case here again, everything is correct so I can just go on with the rest of my work. Actually, this third one for the ONT interface, we do have an ONT with us on the site. So I'll just be taking a live picture of this ONT. All right. Again, I click on submitting and you may have seen actually this power cable is actually not plugged in. So most certainly the AI will flag it to me. So again, yeah, valid photo of the ONT. We do see the Ethernet cable. Again, we can do on it. Same for the fiber optic connection. But as pointed out, the power cable is actually missing. So I can just, in this case, just plug it back and retake a new photo. So if I just plug it back in, I just simply click on retaking a photo. I'll be just retaking the same picture. Again, click on submitting and now everything should turn green. Here we go. So we do see the Ethernet cable, same as always. The power cable is now plugged in and same for the fiber cable connection. So here I've taken all the three pictures. Every one of them is green. Everything's correct. You can see the progress bar is 100%. So as an engineer, I have the security that I've done my work right. It's AI-proofed, AI-validated. So I know that no one will have to come back to auditing my WANTS. And actually, all this information is available also in the back-office platform. So if I just refresh here to have the right WANTS actually being populated, I can zoom into this monitoring board. We can see we have a bunch of filters to actually look for the specific intervention that we want to do. And in the role of a more back-office auditing team, I can only select the jobs that maybe are not reached 100%. So in this case, we're just going to audit the job that we've just done together. And we'll see that every single picture that we've taken through the process will be available here with the same level of information that was given to the user. So the parameter that the integration minus 16 is shown to the user as well. Same on the picture here. Every photo is timestamped and can be geotagged as well. So it can be linked to a specific asset and be populated into the system of record as well. Same here for the open fiber termination point. And you do remember we had to take two pictures actually to validate this job. And this little medallion actually shows me that indeed there was a first photo to be taken. And I do have this inventory available. So all pictures being taken through our AI is actually stored and then can be pushed to the system of our client as well to be available there. But we do have access to the history. So we know that in this first picture, there was missing the power cable. And in this second one, it's all there and everything is correct. So that allows the back-office team to really focus on the job that necessitates it. They don't have to review everything because AI has already done it for them. And finally, just what you can get after all this is all the data that you can get. Because AI analyzes 100% of your jobs, 100% of the field pictures being taken by all your engineers, all your contractors. You can have valuable insights actually representing the reality of the field. Because it's not just a sample of what your teams might have edited. It's actually the reality of 100% of your operations being marked down so you can take actions. So for more information, you can visit the IQ.js website. We do have teams in the US, in Europe. So don't hesitate to visit our website for more information to get in touch.