July 14, 2021

Productizing Quality

Productizing Quality

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. 

In episode 8 of the podcast, the topic is: Productizing Quality. Our guest is Surbhi Krishna Singh, CEO & co-founder, Firevisor.

In this conversation, we talk about How she once jumped over the boundary wall and escaped school, her engineering degree, working for Seagate and Micron and being an outlier-- a woman in engineering and manufacturing. We discuss productizing quality improvements in manufacturing and her startup, Firevisor.

Augmented is a podcast for industry leaders and operators, hosted by futurist Trond Arne Undheim, presented by Tulip.co, the frontline operations platform, and associated with MFG.works, the industrial upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9 am US Eastern Time every Wednesday. Augmented--the industry 4.0 podcast--industrial conversations that matter.

After listening to this episode, check out Firevisor as well as Surbhi Krishna Singh's social media profiles:

Trond's takeaway (@trondau): "At the Augmented podcast, in tracing and anticipating the contours of the emerging future of industry 4.0, we try to have a special focus on diversity, for example on women in manufacturing, or on young trailblazers, or individuals that represent both, as in this case. We need all perspectives onboard if industry is going to transform in a positive way. Industry is, in many ways, the last bastion of resistance against several areas of Diversity, Equity and Inclusion (DEI). I truly hope this is the last decade we need to describe industry this way. An issue so core to humankind such as manufacturing should be co-developed by all."

Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also other episodes featuring female trailblazers, and it's quite a list, such as episode **24, Emerging Interfaces for Human Augmentation, episode 32, Covering Industrial Innovation, episode 18, Transforming Foundational Industries, episode 16, A female fighter in a manufacturing SME, episode 7, Work of the Future, episode 3, Reimagine Training, or episode 2, How to Train Augmented Workers**. 

Augmented--industrial conversations that matter.

Transcript

#8 Productizing Quality_Surbhi Krishna Singh

[00:00:00] Trond Arne Undheim, host: [00:00:00] Augmented reveals to stories behind a new era of industrial operations, where technology will restore the agility of frontline workers. In episode eight of the podcasts, the topic is productizing quality. Our guest is Surbhi Krishna Singh, CEO co-founder of fire advisor. In this conversation, we talked about how she wants jumped over the boundary wall and escape school.

[00:00:28] Her engineering degree, working for Seagate and micron and being an outlier, a woman in engineering and manufacturing. We discussed productizing quality improvements in manufacturing and her startup fire advisor. Augmented is a podcast for industry leaders and operators hosted by futurists Trond Arne Undheim. Present by Tulip.co  the frontline operations platform and associated with mfg.works. The industrial upskilling community launched at the world economic [00:01:00] forum, each episode dives, deep into a contemporary topic of concern across the industry and airs at 9:00 AM us Eastern time every Wednesday. Augmented the industry 4.0 podcast, industrial conversations that matter. 

[00:01:17] Surbhi how are you today?

[00:01:19]Surbhi Krishna Singh: [00:01:19] Hi, john. I'm good. Thank you. How are you? 

[00:01:23] Trond Arne Undheim, host: [00:01:23] I'm doing great too. Super. You are a very interesting woman. You are call yourself or have been called for sure an outlier graduating with a master's in material science. Of course, and then, but then working very closely with a bunch of semiconductor companies and manufacturing companies and basically improving.

[00:01:44] Production lines, but now you have started this fantastic startup. Tell me, how did you start getting involved with manufacturing and why do you think people would call you an outlier? 

[00:01:57] Surbhi Krishna Singh: [00:01:57] Sure. That's actually a great question. One [00:02:00] that I have answered quite a few times, but I still love answering it, so yeah.

[00:02:04]I have a background in materials engineering, like you mentioned. Semiconductor industry was was an obvious next step because a lot of the materials engineering knowledge was directly applicable into industry. From there on, I moved into process engineering. I actually wanted to, I was actually also considering a PhD, but then I realized that the closest application-based field would be in semiconductor manufacturing.

[00:02:29] So that's how I got into semiconductor manufacture. And once I got into manufacturing in general I worked a lot around around quality improvements for the manufacturing product line improvements, implementing projects around automating the lines and so forth. And I slowly started to see that while Manufacturing was one of the most advanced field in terms of tech, it was still very like the advancements, which were spread out on, in, on these individual islands, which are very advanced in themselves, but there [00:03:00] was no system connecting it all together, which actually made managing quality very difficult, especially with the huge volume of the data that is being produced.

[00:03:11] So that's how I ended up conceptualizing what we do at Firevisor today. Thinking about quitting my job, which was by the way, our green day job. Yeah, so that's when I started to think about it because I just couldn't get this idea out of my head that, I could envision a product that would change the way we work.

[00:03:30]Yeah, that's how I ended up starting this company. I guess what I have been calling outlier and still do is because all the fees that have been in  so far  have been in a way very male dominated in a sense. Not that, not to, put any gender in a bad light or show any gender in a bad light.

[00:03:49] It's just that throughout, like in engineering or in manufacturing or in the startup industry most of the founders that I've met, they're all male. So I guess that's where the outlier [00:04:00] term comes from. You don't see many manufacturing, engineering, females, or a lot of Founders does in a female. So I guess that's where outlier term comes from.

[00:04:09] Trond Arne Undheim, host: [00:04:09] W why do you think that's still is? We are in a 20, 21. Why are there so few females. I guess in engineering, it's changing diff different countries. The balance is changing, but in, in the manufacturing industry, it's still is like you said, fairly imbalanced. Why do you think that is? 

[00:04:27] Surbhi Krishna Singh: [00:04:27] I think there are a few factors. They it's obviously a pipeline problem in the case that, even when I'm hiring for fire visor, I see that we don't have those many options to actually hire female engineers or AI engineers or neuroscientists in general. So there's definitely a pipeline problem.

[00:04:47] But  I personally believe the reason for this pipeline problem is because it's just not posed as a natural choice. It's just not, the normal thing you would do as a girl. And often you're [00:05:00] discouraged, like there's systematic latte, when you're discouraged by Cyrus actors around you.

[00:05:04] So for example, when I was in my account, I was told that. I think my nail Polish was chipped or something and then someone told me, oh, this is what's going to happen. If you're going to handle the machines, you should probably take on a role, which is which doesn't involve handling the machines.

[00:05:17] So I was like, okay. I was a bit baffled when there were stone to me, but I guess that's how people think a lot of people still think that way. And not only people outside you, but, You are told that and you're shown you're constantly being shown that in, in media and around you, you internalize it after a point, which is why you're yourself thinking that, oh, probably engineering credit is not for me, but even up until today, we see it.

[00:05:41]At the entry level, the numbers are almost equal, but then later on in Korea, there are more females dropping out from tech roles as compared to males. Yeah. So I guess there are several factors at play here, although, I think we're making immense progress, but it's still not [00:06:00] enough, there needs to be a lot more done.

[00:06:03] So I guess, yeah, it happens because of systematic discouraging women systematically at several levels. And second thing is because that happens, you internalize it after a point. So I guess these other two biggest factors, because which that is happening even in 2021, as we speak. 

[00:06:23] Trond Arne Undheim, host: [00:06:23] It doesn't feel fantastic to be talking about this all the time.

[00:06:26] And I don't mean to bring it up and make it a massive point, but you are certainly an example of the opposite. And I think it's still unfortunately important to highlight that, just so that other entrepreneurs who are your gender and your age, understand that it's at least possible if you want to.

[00:06:43] And that, there doesn't seem to be enough barriers that it's impossible, which is really good, but people like you can show the way I guess, and and indicate that there is really, shouldn't be a problem accepting that that this is a very attractive career [00:07:00] opportunity for any anybody.

[00:07:01] Yeah. But then as you are getting your feet wet in this industry, what are some of the interesting challenges you think that have been overlooked? Not just because of gender, but I'm just curious because you do come in with a fairly fresh perspective, right? Because I think that happens whenever you are an underrepresented category of person, because things differently.

[00:07:24] What were some of the things you would say that you started seeing early on? You pointed to one thing in, in efficiencies, what were some of the other things you were observing on the shop floor? 

[00:07:33]Surbhi Krishna Singh: [00:07:33] Sure. Yeah. That's another very interesting topic, which I love to bring up in, in France people more.

[00:07:38]The first thing I see is speaking to legacy systems and software, I think there's a whole there's a whole lot of inertia at play here. A lot of systems and processes are in place because, if it's working might as well not touch it. So there's that kind of a feelings feeling.

[00:07:58]In the industry in general and [00:08:00] that's also because if you change something and then something becomes worse, there's a whole lot, a lot at stake. Your job is at stake, which is why I feel like change management is very difficult in fields like manufacturing. So that's one of the things, yeah.

[00:08:15]I think it's it's there's an open secret. Everybody knows about it, but it is that way by design also to discourage a lot of unnecessary changes, which might affect the line. But yeah, that does hinder bringing in new systems and innovation in the line. I think there needs to be a balance as companies need to be more agile in terms of trying out new visions, new things.

[00:08:36]In order to make improvements, that's really important. So that's definitely one of the things we just overlooked in manufacturing. I'm sure you guys have a, Tulip.co also have experienced this, enough number of times, right? Yeah that's one of the things which definitely I would like to highlight as it's overlooked a lot of times.

[00:08:54]The second thing is training. When you move on from one system to another there's a lot of [00:09:00] human friction as well so in the form of training, so let's say, when you say we are moving to industry 4.0 systems, you're not just moving systems. You're actually enabling people around you to also use smarter, faster, better systems, whatever that may be.

[00:09:17] That is also not very easy. Like I have had Projects that I've worked on where it definitely made the lives of operators easier or the lives of technicians easier. But just because of that initial bit of let's say resistance to change they initially were not so far, it only after it was enforced kind of stop Ellen, they were more open to change.

[00:09:38] When they are being trained there's this mentality that says they're very process oriented people they should be following the process, which is great. And it's really important but also, when training people inside manufacturing, there should be this, I guess in some way you need to also inculcate this spirit of innovation, I would say that's the time I would use [00:10:00] for it that, Hey Following your process is great, but change is not that bad either.

[00:10:04] I think these are two of the factors which I see is affecting productivity and embracing new change even today. So are these are two of the things which I see.

[00:10:14]Trond Arne Undheim, host: [00:10:14] It seems like already very early in your career when you were, I believe at micron, you w were starting to improve the production lines by doing exactly that you, you weren't happy with the existing automation system and you built.

[00:10:25]You built systems from scratch to, to improve that productivity. And I'm sure that wasn't something that every production line engineer, was conducting at the moment. Tell me a little bit about that. How that process spurred your interest in oil and I guess your discovery that you needed to innovate outside of these large firms.

[00:10:47] Surbhi Krishna Singh: [00:10:47] Sure. So have one of the challenge when you operate inside a large form even within companies which are very advanced technically. So I personally think that I've worked with some of the greatest [00:11:00] minds inside my Crohn's some of the best tech teams that I could possibly have attack teams and resources that I could possibly have access to.

[00:11:07]But still, when you're working within large organizations you just have a longer turn around time for anything like, if you're implementing something new, there are so many processes and things like that you have to go to in order to make it happen. So that's definitely one of the things that becomes easier in a startup.

[00:11:26]You all, and also, you're restricted in your role when you're working in a large organization. So you only have this, and this kPI to meet, even if you are on the other end sourcing the best sort of solutions. If you are not happy with any of the distributions, you can go out and build that, unless you actually do what we did. But that is another And let's say a reason why I had to go out and start Firevisor  because like every person has their own KPIs per se. I had my own KPIs as the process engineer and a lot of times I've just the solutions that were coming [00:12:00] like I said every Person or vendor was very focused on their own area of improvement on their own on KPIs. And they were doing it for many years. So a lot of times these interconnection of islands inside manufacturing was something that was neglected a lot because this is just the way people had been doing things for a very long time.

[00:12:18]Although internally the team started to think about how to get data together from different systems, how to make the process easier. What ended up happening was a lot of times engineers were the people who are thinking about it and they were the ones who were still doing it very manually, because again, they couldn't go out and create a system to do it.

[00:12:37]Yeah. I guess that's basically what happened there. The reason why one has to go out and build a system around it is because everyone was focused on their own KPIs and building those kinds of their own kinds of system for very long. So there needed to be an interface system between these different silos inside manufacturing.

[00:12:58] Trond Arne Undheim, host: [00:12:58] So then you went [00:13:00] outside and tell me about the process, how you got to, entrepreneur first, this accelerator type program. And then again, being a startup founder is, still ma male dominated and you, again, Discovered a whole other set of discrimination because I, I believe you, you quoted that there's some, 2% of VC funding goes through female founded companies but you had a great experience there.

[00:13:22] I, it seems  tell me a little bit about what happened then and how you formulated what then became five visor. 

[00:13:29] Surbhi Krishna Singh: [00:13:29] Sure. Yeah, join you on the prod. First was I guess, one of them I guess in terms of learning it was one of the most steep learning curves that I've had in my life. It was really amazing because, you had all of these amazingly talented people from industries, which you probably only heard of before or seen from a distance, all put in a single room and everybody's super smart.

[00:13:54] So yeah, it was an incredible learning curve. A great experience and also I met my co-founder there. [00:14:00] Again, someone who was from a very different background and, who was very fascinated by the kind of impact that we could bring into manufacturing. Yeah. The moment I decided to quit my job and also from what not first to join, the third code in Singapore came along.

[00:14:14] I decided that, okay, let's go for it nothing to lose. And I guess that's one of the best choices I've made. So joined the cohort, met my co-founder there. We started the company and luckily for me, I wouldn't have had to face a lot of discrimination as such of course systematically they're still okay.

[00:14:31] Again, going back to the numbers a little bit there was nine or 10 females, female founders out of a cohort of a hundred plus age. So again, we, the number comes back with somewhere around 10% and then we see funding overall. In one of the best year so far has been around two point something percent, two female founders out of the entire VC funding that was allocated that year.

[00:15:00] [00:14:59] So the numbers are still pretty bad, but you would be surprised to learn that pretty much all of those 10 founders within the cohort actually went onto be successful companies like the success rate of female founders was much higher than male founders. Again, I don't mean to have this sort of segregation, but that is what ended up happening.

[00:15:22] And if you look at the data in terms of how female founded companies perform the return on investment for every VC is much, much higher than that may sound like a hundred by male founders. Just the numbers tell you that the money should be going to more and more female founders.

[00:15:40]Bumble, just IPO then, you have other female founders coming up every day. Personally for me, there was not a huge discrimination that I have to face. In fact, I would even go ahead and say that In 2021 being a minority actually had to get highlighted. 

[00:15:54] I personally think that's a great thing for the manual that you're getting a lot of representation today. [00:16:00] Yes there was this, few meetings where you get asked about it oh what are your plans with your life and babies and marriage and things like that, which it would never be asked.

[00:16:10]And that has happened my, me and my co-founder have been in the same meetings asking the same questions, except this was only last to me and not to him. So that happens, but that's okay. It happened a few times you just glowed about it a little bit and move on.

[00:16:26]But other than that, like other than those one-off meetings, I will personally say that I haven't had huge discrimination to face. But yeah like you said, I think you talked about it a little bit earlier that this is not a very people should come out more and do it for, and I'm saying that for anybody, male founders or female founders, There's a lot of fear around starting a company and it's perceived as being a really difficult thing to do.

[00:16:51]For sure it's a really difficult thing, but it's not more difficult than I guess, losing a parent or, I other comparable tragedies [00:17:00] or more difficult things that you might face in life. So this is the level of difficulty, which you would have to go to something else as well.

[00:17:07]You might as well do this and you will basically be creating impact, which is not comparable to anything else. So it's not that difficult. I feel that if you religious come out and do the proper way, find a product market fit and spend enough time in, in looking out for that before investing a lot of yourself in the company, you'll be fine.

[00:17:28] So it's not that difficult to more and more women and people in general should come out and start their company. It's not, is it that if there is something that you're thinking about, just go ahead and. 

[00:17:37]Trond Arne Undheim, host: [00:17:37] Let's talk about the content for a bit. So if I understand correctly, fire visor is adding basically a productized layer to the quality movement.

[00:17:47] And again, I guess the quality movement is a male dominated consulting industry, which has been existing for many years. W where people go into plants essentially, and make recommendations for [00:18:00] improvements. You have a different take on how these improvements can be made. Give us a sense of exactly what it is that you're improving and how it actually is a product, as opposed to just delivering sort of service improvements.

[00:18:15] Surbhi Krishna Singh: [00:18:15] Sure. So currently how a lot of quality improvement in manufacturing work are like you mentioned they are recommended by quality consultants outside of the organization, of course in companies have internal quality management systems and so on. But given the large volume of data that is being produced and the heavy volumes of products that we are dealing with today a lot of those quality management systems are becoming redundant very fast.

[00:18:44]They were good when you were, making radios back in the seventies and so forth. When you are creating a new smartphone every year, every six months those systems can't really. Cater to your needs anymore. Same for consulting. So quality consulting and its principles are [00:19:00] great.

[00:19:00] They are still the Bible for your quality management system. But what ends up happening a lot of the times is consulted might come in, they might advise you about one area, one specific quality problem. And you probably basically implemented it works they are gone, you're done with, but then what happens in the problem comes back again.

[00:19:20] It's probably learning from the last time. But the team probably moved out. A lot of the people that were involved in the initial case and along around what do you do the next time you visit the engineer who is on the job at that point in time has to redo everything again from scratch. So that's what ends up happening with any sort of quality consulting be it traditional consulting or a lot of AI, basion predictive analytics consulting that is coming up in, in manufacturing quality these days. They might be effective, but for a short period of time, and for one of occurrences, there is no system which can actually take account of all of the data running in the line [00:20:00] for a long period of time and for the entire lane.

[00:20:04]So it becomes, it ends up being a very one off thing. Whereas what FireVisor  does is we have productized, AI based quality management for manufacturing, right? We're basically recording all of your, let's say we are basically learning from all of the quality occurrences in the line in order to preempt engineers when it happens in the future. And so that way we are basically creating a product or system around it, as opposed to just solving problems one off as, and when they happen,  and that way we also become a part of the lens. We have four products, all focusing on different stages of manufacturing.

[00:20:46] So we have AI based detection, which is the first layer of quality management and, that's when you basically detect whether or not there's a quality problem.. Then we have a defect analytics, which takes in data from defect detection, [00:21:00] combines it with other data streams and tells the engineers or automatically it gives them clues of whether the problem came from right.

[00:21:08] The next layer is to have an AI based statistical process controls on the line. And the final layer is to combine all of this together with engineers analysis, to tell them if they're going to have a problem before it happens, that's the predictive analytics. That's how we have fun. That's how we have prioritize quality management, as opposed to one-off.

[00:21:31] Trond Arne Undheim, host: [00:21:31] And where are you currently? I understand your first clients are in solar manufacturing and then you're moving on to some other fields. 

[00:21:40] Surbhi Krishna Singh: [00:21:40] So we have a huge base in solar manufacturing industry quite a bit in semi-colon and electronics. We actually have an interesting use case in medicine as well so pharma but  that was more because of COVID. We had to implement a very fast system for [00:22:00] inspecting, COVID testing kits but yeah, around 70 to 80% of our basis in solar manufacturing and remaining in, in semiconductor electronics. So these are fields, we focus on a lot more which is solar semi-colon electronics.

[00:22:14] I'm also looking at automotive soon and so far.. 

[00:22:17]Trond Arne Undheim, host: [00:22:17] Tell me a little bit about the future of quality and manufacturing. How far can we take this predictive analytics and how perfect can our products get inside of a, an isolated process, but also taking into account that a lot of these products that you speak about, they are very complex.

[00:22:36] So you're coordinating. Not just in inside of one single factory, but there's a lot of X factors outside their supply chains, not as easy as it wasn't the olden days that, everything is there. You just have to put it in the right sequence, that there are many other challenges these days.

[00:22:52] So I'm just curious how far, in the next few years will we make massive progress through your software [00:23:00] and other approaches in predictive analytics. And what are the main barriers remaining right now? Are they technological or are they more of a human nature?

[00:23:11] Surbhi Krishna Singh: [00:23:11] Okay. So if I was to talk to you about my vision for manufacturing, as in where we want to see Manufacturing, BR is we want to create self aware factories, which means all of these different And data streams that you talk about, which is like in reader, coming in from supply chain basically tracking data, all of this combined together.

[00:23:31]We do see that happening in factories of the future. So it's basically a lights out factory and everything ranging from order fulfilled, ranging from loading material on the line to order fulfillment is entirely controlled by software and this includes everything. Controlling the machines, machine predictive maintenance quality analysis, quality management the, everything is basically controlled by, by software and systems.

[00:23:57]Wait of course there, there is [00:24:00] control involved from it from a human aspect. But let's say a lot of that becomes digital as well so that's our vision for a factory. In fact, we even think that a lot of the data inside factories are, will become commoditized instead of having the individual companies which are providing AI products or solutions all of these sort of central AI models for work one vertical, let's say for solar, all of these models generally become commoditized. And there are, that are these engines, which are basically providing this to everybody, somewhat like what Google does for Google analytics.

[00:24:36] Now, that kind of thing. We do see that happening for manufacturing in the future. I guess we are at the early stages of that happening, but yeah that's the future we envision for manufacturing. One big challenge to that now is quality of data. So data quality is needs to be. I would say most standardized and also I'm sure you know about how Microsoft [00:25:00] basically took all different kinds of hardwares and put them all on a single interface.

[00:25:06]That's something that needs to happen for manufacturing verticals as well. There needs to be some sort of uniform layer of interaction between these completely different machines. I believe tulip is one of the companies doing that. You have your loop systems, which are interacting with all different kinds of machines and sensors and systems. You will see like we'll all see more and more of that happening. The companies like Firevisor coming about and basically adding these layers of software to irrespective of what hardware is installed in the factory. And slowly that will improve the quality of data that is being collected as well.

[00:25:40] So yeah, that is my vision for manufacturing, but one thing which is stopping us from getting there right now is the quality of data that is being produced. So yeah, once management has that as part of their vision to improve the quality of data, a lot of things will just start to move from.

[00:25:58] Yeah, there's this [00:26:00] highly variable data quality, 

[00:26:04]Trond Arne Undheim, host: [00:26:04] Any advice to other founders. And we don't have to go back to female founders. That's obviously specifically interesting, if you just think back on, on the experience you have had now in the industry. Making improvements, starting a company.

[00:26:20] What would you say to young founders who are going into manufacturing right now?  Where should they how should they approach it? Should they work in manufacturing a little bit? Like you did to really gain the experience? It would seem to me that it is an industry where you can't just be a smart person in the garage.

[00:26:35]Many people have told me this who have innovated in this space. So it is a challenge for young people because you actually do. Maybe you would disagree if that is the case, you will, you would at least have to get that experience somehow. So what is the balance between experience, which obviously can take 30 years, right?

[00:26:54] Because you need to innovate at some point. Yeah. So what's your advice to an innovator? How should they, quickly get enough [00:27:00] experience that they can innovate in this area? 

[00:27:01]Surbhi Krishna Singh: [00:27:01] I guess for manufacturing itself I completely agree not to discourage anybody from going into manufacturing and started going into my where you do starting a manufacturing company.

[00:27:12]But experience is really important in this industry. A lot of times prospective customers do not even speak to you. If you don't speak their language and that's what it is in, because of course, if you're from the industry, you understand a lot of the challenges, but again, for an outsider, I guess a lot of times what I've heard is manufacturing does not seem like a very interesting industry to get into.

[00:27:36] So I guess this problem balances itself out a lot of the problems are only understood by people who are within the industry. But yeah, let's say, if you're thinking of starting an in a company in the manufacturing industry, I would highly recommend you get at least two to three years of experience under your belt and if you feel like you lack Are there aspects of food that are a lot of [00:28:00] great people out there who would love to help you on your journey. Have that look for mentors and advisors as much as possible. And one of the, one of the. Things, I would always tell any founder who comes up to me, whether it's for a manufacturing company or in any other field is spend a lot of time, as much as possible looking for the correct product and whether it's a commercially viable product and whether anyone's going to pay for it. Of course, there can be different kinds of revenue models, but spend enough time doing that, speak to them hundreds of people, if possible, that is the single most important point in starting any company and more so in manufacturing, because in manufacturing, there can be so many nice to have, but you can only make a true impact when you're making a product, which is not just a nice to have. It has to be something which solves a real pain point. So spending enough time talking to hundreds of people, if possible, before [00:29:00] you go on to even in corporate the moment you have an idea, just start basically asking people what they think about it or whether they'll use it, or whether they think anybody would pay.

[00:29:10]I guess that's really important for founders in general and even more so for manufacturing and yeah, I guess according to me, at least some, it would be one to three years of experience on a factory floor. 

[00:29:25] Trond Arne Undheim, host: [00:29:25] These days, a lot of people go on the web to take courses or track newsletters, subscribe to those.

[00:29:31] Are there any sources that you have found particularly useful in manufacturing that keeps you up to date on what's happening? 

[00:29:38]Surbhi Krishna Singh: [00:29:38] Okay. I will typically I'll typically reference two kinds of sources, they are number one, there'll be vertical specific sources. So you will know which are I guess the most interesting publications inside of vertical.

[00:29:51] So within manufacturing, you can typically do everything. You are probably going to focus on specific verticals. So also focus on the [00:30:00] publications in those verticals of solar you have a few, which we our effort to, so yeah just look for these top publications inside your verticals.

[00:30:09]And then other than that, keep an eye out for general market trends through reports. There are a lot of great companies out there. Deloitte and McKinsey is and so forth who are producing reports every now and then keep an eye out for that. Keep reading. I also really like to attend webinars, especially those coming from companies, which I personally know are innovating and manufacturing.

[00:30:32] So you're, I just basically that just for the newsletters and events and so forth and when  I find something interesting I go in and attended webinars they're webinars for four trends to understand what they're doing. And I also keep an eye out for interesting startups there's anything which is being done differently.

[00:30:51] I just keep an eye out for that, which is also pretty easy to do these days. You have access to all kinds of information. So yeah that's [00:31:00] basically what I do to keep myself up to date on the trends. 

[00:31:07] Trond Arne Undheim, host: [00:31:07] Yes. Hopefully we have some good interviews here. Those will be, it's been fantastic to, to gain so much insight from such a young and fascinating entrepreneurs yourself. I wish you the best of luck and let's see maybe the quality of manufacturing can improve drastically in the next few years.

[00:31:27] I,  thank you. 

[00:31:27] Surbhi Krishna Singh: [00:31:27] Thank you so much, Trond.. It has been great interacting with you guys and we hope to work with Tulip.co someday as well. That would be great. 

[00:31:35] You had just 

[00:31:36] Trond Arne Undheim, host: [00:31:36] listened to episode eight of the Augmented podcast with hosts  the topic was productizing . Quality and our guests was Surbhi Krishna Singh CEO and co-founder of Firevisor

[00:31:50] In this conversation, we talked about productizing quality improvements in manufacturing and her startup I take away is that at the Augmented podcast. [00:32:00] In tracing and anticipating the contours of the emerging future of industry 4.0, we try to have a special focus on diversity, for example, on women, in manufacturing or on young trailblazers or individuals that it represents as in this case. We need all perspectives onboard if industry is going to transform in a positive way, industry is in many ways, the last bastion of resistance against several areas of diversity, equity and inclusion. I truly hope this is the last decade we need to describe industry this year. An issue is so core to humankind's such as manufacturing should be co-developed by all.

[00:32:42] Thanks for listening. If you'd like to show subscribe at Augmented podcast.co or in your preferred podcast player and rate us with five stars. If you liked this episode. You might also like other episodes featuring female trailblazers. And it's quite a list such as episode [00:33:00] 24 emerging interfaces for human augmentation, episode 32 covering industrial innovation episode, 18 transforming foundational industries, episode 16, a female fighter in a manufacturing SME episode seven work of the future episode three re-imagine training or episode two, how to train Augmented workers. Augmented industrial conversations that's matter.

 

Surbhi Krishna Singh

CEO & co-founder, Firevisor

Surbhi Krishna Singh is the Co-founder and CEO of FireVisor, an AI for manufacturing company focusing on image analytics. Before FireVisor, Surbhi has built automation systems for semiconductor and memory giants that saved them thousands of unproductive work hours.

She experienced the industry having quality issues that can remain unresolved for months. She knew that advancements in artificial intelligence could make these factory floors much smarter and self-aware. She then decided to quit her job and build a company that can change the industry. Her company FireVisor is now building the next tech stack in manufacturing.