 Very warm welcome to everyone. I'm Shanti and with me today are some notable deep-tug experts from across industries So deep-tug as you all know is no longer in the proof-of-concept stage in India It is very much a part of our everyday lives every business is leveraging multiple technologies like machine learning artificial intelligence so on and so forth and Many macro conditions have also come in as a blessing in disguise for this particular segment for instance the pandemic it has not only accelerated the adoption of tech among masters and businesses it has also led to Increase awareness about sustainability and this has led to many more use cases of deep-tug Across industries like EV and climate tech so without much delay I would like to get into my first question to all of you So as I just mentioned Deep-tug has many use cases across segments what according to you is the biggest use case that your company offers and Also, what is the biggest change that it has brought to the sector you are in if you can just Introduce yourself briefly and take it up Yeah, we can start from left first of all. Thanks Shanti for this question Just wanted to introduce our company. We are disrupting the orthodox staff documentation and remote software development industry So we are a tech company at heart and that's why we are Involved deep-tech heavily and invested Many things that are involved with deep tech AI ML etc Essentially, we have our internal proprietary tools and software algorithms to match appropriate talent Talent data that are mostly the engineers from our vetted talent bank to the to the companies and different projects So essentially we are doing it through Text analytics scale and project mapping of the engineers that we have in our talent bank and this is like as we know remote software development and outsourcing per se is one of the biggest revenue source of India as well as for many big tech giants like Infosys etc. So As a company we we are using Deep tech per se to give a use case for example if we have a project for Healthcare domain then our algorithm is matching a software developer Who has actually worked with healthcare domain and can assimilate with the right atmosphere of a healthcare domain in the sense We are actually Solving a critical problem of talent shortage a and we are saving at least $2,000 per hire for The companies and we are giving an experience of ramping up and ramping down of the engineering teams At an instantaneous level. So that is one thing the second part of the question Is that like what what new things and what all? New updates that we would get into deep tech as the industry evolves I see for example if I taking about charge epiti a charge epiti only and we were all Discussing about charge epiti before this panel like I according to me the new Tech that we are we are having at this particular stage would build new roles and also you can say Cancel the roles which were mundane at past so for example Accounting per se would be a mundane role which can get distorted eventually. So that's my take on this Thanks, Anthony I'm Sunil. I had tech for ship rocket So essentially what we do if we all know how e-commerce industry functions. So there are two Hours to it one is through marketplaces and other is through D2C bands So essentially we give the fulfillment services to D2C brands and small businesses in in a nutshell So for me if we talk about deep tech It goes anything which goes much to be on your traditional if then else as a statement and helps you to give the wow Factor to the customer. So we heard about zip to currently if the promise is 10 minutes And if you get the stuff in 8 minutes, so that's sort of a wow factor So especially in our industry So we do deliveries with our third-party career come partners So likes of delivery easy com express and all so imagine you are running a business And you have a career recommendation engine at your disposal which is trained over Huge volumes of data and is able to give you the best recommended career Pitch suits your pricing which suits your SLAs which suits your demands That is a perfect use case what we provide to our customers another thing can be what we essentially do you are running a business and a Portion significant portion of your orders is say on cash on delivery. So if a cash on delivery order is returned RTO happens So as a business owner, it's a double-bammy for you because you are paying the freight from both the sites and It's a locked-in inventory for you and you are not making money on it. So we have solutions where we Give a lever to you where you incentivize your customers to change that COD Order into a prepaid order. So things like those where which are Enhancing factors for your business and also serve as a wow factor for your customers Thanks, Shanti. I'm Shashank and I work as a chief development architect for SAP labs Bangalore so from My side all I can say we work on two aspects of deep tech or AI one aspect is that the verticals can Use AI in an embedded fashion, which means let's say a supply chain domain. So they have very specific needs for AI Which might be different from a CRM kind of a scenario So what we do is we provide some kind of a platform where they can embed the AI into their specific verticals Like as an example, I work for a team for API management Now currently what we are doing is we are looking for a solution to do anomaly detection on top of the APIs We have so how do we approach it? We take the platform provided by another team Which is providing all the workflows which we need for building an AI solution on top So we use that to build our own embedded AI solution Going forward what we see and particularly I see how SAP will proceed is there talks of let's say having their own Language model deployed in our data centers primarily the reason being that chat GPT There are a lot of privacy concerns Can I share my private data of a customer with chat GPT? Definitely I know right? So we need to run these kind of models within our own data centers within our own premises And where we can serve the customers in a secured way So that would be the idea from the SAP side. Hi, my name is Sumit Sabarwal and I lead a company known as team Lee's HR tech What we do exactly being a 20 years old company what we're doing is we're transforming the employee experience by leveraging deep tech Primarily AI machine learning and also a lot of new technologies that as we speak are evolving around the globe We manage close to about two million employees on our platform as on date focused on India and Some of the very breakthrough products across our product stack Are zero touch applicant tracking systems and one touch? HCM platforms coupled very very uniquely with Edu tech platforms with regulatory tech platforms that gives us seamless experience a lot of exciting things that we're doing we're having our innovation center here in Bangalore and Happy to be here on this planet. Thank you. Thanks Yeah, hi, I'm Sharmin. I'm the founder and CEO at in storied as the name says in storied inside stories We basically help you create stories across multiple formats Of course using AI starting from text to image to video at the click of a few buttons You can create content. You can create your own images. You can create your own videos Whatever that you might need And to answer your question about what are you know some of the best things happening in this space? Well, of course, everyone knows about chat GPT. Thanks to Microsoft backing open AI But yes, uh chat GPT became famous last year in October, but we started building a chat GPT like product back in 2018 Of course, we didn't have the funds to you know use 1.5 billion data points But we used 70 million data points and built something exactly similar And you know as a startup founders have this thing initially that okay We've built something phenomenal. Why should we sell we had acquisition offers from Grammarly? And you know some other folks, but we said no, we won't sell we're gonna go and compete against a chat GPT, but then of course that That is something out of question right now, but we are we are also You know figuring out how we can partner with chat GPT because we are focused on marketing, right? And across multiple formats. Yeah, so hi, I'm Ram Prakash Ram Amurti I'm the director of AI research at manage engine division of the whole corp so at manage engine we build tools for IT and We have infused all of these tools with at least one AI feature across our 100 plus products that we offer right now. So the products vary from IT service management to security to endpoint management to monitoring So coming to the second part of the question. What is the more impactful area that we see with deep tech? Enabling in our line of work. I think the whole notion of web security has been Beefed up by AI on one side. There are AI scripts to generate malware on the other side There are better and power packed AI tools to you know, identify these malware to quarantine these ransomware predominantly I think that's one of the interesting problems we solved in manage engine because these neural network models have to be run at the endpoint and Identify ransomware and malware so the whole notion of static security threshold is gone Everything is going to be dynamic and that is what AI has enabled for IT looking forward to the conversation. Thank you Hey, good afternoon folks I'm money from Uber Think care of engineering at Bangalore So one of the differentiating things that we have is on the deep tech space is Real-time marketplace right marketplaces a concept has been existing for a long period of time in e-commerce Where you put merchants coming in or giving you a catalog and then you have sellers But doing it real-time is an extremely extremely Interesting and a challenging space right when people open the app and when you click a button and I mean a car comes in front of you It's a magic. We call it as Uber magic Earlier if a car comes after two minutes people are okay because they are very fancy with the magic today People cannot even wait for 30 seconds. I need the car immediately. I need the auto immediately, right? How do we do it with real-time when you are trying to have two people anywhere in the world meet in the middle of the road? Agree on a transaction and then travel right when you want to do that at uber scale where we are operating at 10,000 cities and 100 countries where you have in a five million owner partners in our platform How do we figure that out? What kind of things that we do on AI what kind of things that you do on ML when you just go and say here It's a destination. I want to go from here to RG a tech park You see a list of offerings to say at this point in time How many driver partners in cars are there in autos are there in uber excel are there what should be the price? Should I apply a should I apply a search? Should I not apply a search and then show a product offering of 20 listings within two seconds So that the rider can make a decision is a very interesting problem, right? And how whether we use ML whether we use AI is all behind the scenes, right? It's all isolated from the riders, right? But for us to do that deep tech is extremely extremely important, right? And if you do that Once and if you have the differentiating software we can apply that in multiple space during pandemic when we were super high on Right's business and we said hey, why don't we leverage the same marketplace and see whether we can go big on the each Business on the delivery business at that time uber was operating close to a 50 billion dollar gross bookings on rights And we were able to get each and rights close to 55 billion dollars Globally with a single platform where you have a single platform today as a real-time marketplace which boosts both each as well as rights The moment you have a single platform which can boost eats and writes are a very few companies in the world Which are actually big on rights as well as on each you can say hey here as a company Which is big on rights in India you can know which is the company which does the rights in some other country You can know some companies are good on each but there are very few companies which do rights and each together And if you have that kind of a differentiating marketplace You can also introduce new scenarios as an owner partner whose whole goal is to see how I can maximize my earning You can do rights in the morning you can do delivery in the afternoon You can do rights in the evening you can do delivery in the night And then you keep switching between the market places so that you can give the best experience for both riders and the owners How do we use that using this deep tech is the uber magic? Great So we cannot have any conversation today without talking about chat GPT in fact many of you mentioned it So I have to ask this question So do you think we are rushing in somewhere? I would like to ask this to Mr. Shashank What's your question we are rushing in with what the usage of chat GPT etc I don't think we are rushing in because the capabilities of chat GPT are mesmerizing to say the least right But from my side at least I would say there are a huge amount of privacy concerns when we use chat Jpt like As a company like SAP we have so much of customer data so much of privacy concerns that nobody is willing to share or Tell that you can just freely use this data and put on chat GPT or as your servers and get the responses So there's a very strict guidelines even within the company what you can do with chat GPT What you cannot do with chat GPT, but that does not mean that it's not a good technology It's definitely a good technology and what we need to do is to probably look into the open source and See like how this shapes up in open source and Provide some models which can be deployed in the company's private data centers So which will be a win-win for the customers as well as for the corporates All right, and today the lines between tech and deep-tech is blurring Many startups today are able to prime the right product market fit Even though even then we don't find many series B funding rounds happening. There is not much of M&A IPO is still a far cry So do you see that changing in the medium to long term? It shall mean if you can take that question So Are you talking about the deep-tech sector IPOs and everything right? So yes, of course, it is a little blurry But then you know Of course when there are large companies like Microsoft Google etc. backing You know medium-sized companies like open AI and throw big etc. Correct So then what happens is that you know deep-tech gets the visibility right which which it wasn't getting earlier Now the biggest challenge with any deep-tech company while let's say if it has to plan for a SPAC or an IPO in the US Whatever the biggest challenge is the whole IP based criteria right because any SaaS company is not going to be You know EBITDA positive anytime soon right 90% of SaaS companies are bound to fail They need to raise a lot of funding in order to sustain Right so that that again is a very big challenge that you know support from stakeholders Understanding globally and then you know the IP related issues intellectual property is is not just about You know your copyrights or your trade secrets, but then you've probably taken like three years You know like for example, we did three years, you know to build your own data sets, right? Deep-tech is no magic at the end of the day as they say deep tech That's because there's a lot of data which is actually being infused into the system now That IP needs to have a value. So until and unless people don't start valuing the intellectual property more than just the You know your your numbers on the table I don't think it's going to be that easy for any deep-tech company to you know go IPO or SPAC that soon Yeah We all know would you like to take this question as well? So as said by my fellow panel, I just want to reiterate that again any deep come deep tech company at heart Requires a lot of funding even chat GPT got funded by consortium of investors may Google Microsoft Google is not part of it. Microsoft is the part of it but at the end we saw in COVID era that there were Astronomical valuations and right now the investors are more cautious towards profitability unit economics and Operational profitability at least so that's why we are getting some blurry picture out there when we are saying that the investments are Going less in deep tech companies specifically in series B and further When you're saying about MNA again the macroeconomic challenges are certainly not favorable we are having feds increasing the rates and Like the companies as well as the investors are parking their funds in rather risk-free or less risk Franchel or investment instruments. So again, that is The second thing and when we say about IPO like we all know what has happened recently in India that tech companies IPO like they were Bleeding to be very honest and to be very harsh as of now and we didn't see any Retail investors getting getting money out of it. So as of now I say that deep tech in there needs to be in the matter for metamorphosis space and It needs to grow and the the evolution needs to be there so that the even the retail investors understand deep deep tech What it is and what it is exactly. So that is my take Got it and as Charmaine just mentioned The inherent advantage of deep tech is IP creation So do you think that should be valued beyond your immediate revenue if Mr. Sunil can take that See IP creation is part of the journey itself. So if you talk about deep tech so essentially If you talk about deep tech it requires a lot of investment very true But end of the day it should solve some problem on the ground which should Directly result into making profits for the business that else We if we see around us there are a lot of deep tech things happening in the academic world But in order to make it a professional success It has to make profits for the business and yes, unless and until IP Milestone is crossed it won't be able to give those benefits for the business And yes as I mentioned so IP creation will be part of the journey and we'll see a lot of those IPs being created in Times to come and what has happened the actual Time span elapsed time in terms of any tech Being getting matured and commercialized and giving fruitful result that elapsed time has reduced significantly in last few years So what we are talking about it say maybe a couple of years down the line at the max Mr. Sumit you would like to take that question on IP creation. I think IP creation and Profitability go hand-in-hand if you if you very well define what sector are you focusing on and What's the difference it makes to the end consumer or the user experience or the problem that it solves then? certainly it will It will attract a lot of not only investor attention But a lot of customers and that's what basically the business is there for so while Our focus has to be on on the user experience on solving the problem using deep tech But at the same time If it is only for academics purpose certainly in the business world It's not going to make that kind of a impact and relevance and hence we enhance We'll see a lot of brilliant ideas not seeing the light of the day because of this so IP creation is important But I think the overall vision in terms of how it makes solves the problem how it makes a difference to the user Profitably and takes care of all the stakeholders not just the shareholders, but the community the employees You know the investors everyone that is super important Got it. And my last question is to Ram and money content Where are we going to see the next leg of deception in tech? See Two things you say especially on the transportation space Where we are and it's always a supply game who has the maximum supply wins the game, right? So demand is always there, right? So what the approach that we are looking for is two three four One is making us an open platform right today We have IC drivers or earner partners who are registering at Uber and then starting to be an owner partner in Uber We are also building a lot of stuff around fleets Where if you know if somebody can have like 50 cars or 200 cars or 10 cars and if they want to run for uber How can we make the fleet integration so easily so that they can increase the thing? And then we are also you know working on 3p taxes We have a goal that all taxes in uber by 2025 So we have opened up API so we are integrating with a lot of taxis So the taxi driver will still use the taxi app, but uber demand will come to the taxis That's one side of things, right? The second part, you know is around EBS, right? So there's a whole spectrum of things when it comes to EVs, right? We may still it may look very simple that hey, you know instead of just a you know petrol vehicle I'm just replacing the EV vehicle Just in our matching algorithm. I cannot match EV vehicle where the ride is going to be a 30 kilometer bar the EV charges is going to sustain only for 20 kilometers Just as one example, right? I'm just taking you know EV charges one example like that. There are like You know tens of parameters for which we need to take care and figure out how Autonomous vehicles and EVs can be partnered on this whole, you know, right sharing platform is another thing The last one is autonomous, right? You'd have seen a lot of news around autonomous We still feel that, you know, it's a good bet. A lot of things are happening It will take time for us to mature, right? And Uber will play an important role on the autonomous stuff We have already partnered and we have you know some of the delivery things are happening You know through autonomous vehicles and other stuff. So last one, you know Just since chat GPT is such a hot topic. I'll just give one liner about my thing, right? It's a few years back when software companies were developing softwares Just building a large-scale distributed system software itself was a differentiator There are very few companies which were able to handle petabytes of data which were able to do Millions and millions of compute with their data, you know data centers When all these cloud platforms like AWS or GCP or Oracle cloud platforms came in It's people feel that oh my differentiator is gone And a lot of companies feel that the differentiator is gone But then we went through a wave where a lot of us were integrating that became a commodity That's no more a differentiator. It became a commodity if I want to you know store millions of data I can just integrate with the AWS and store it, right? Today, that is not a differentiator that became a commodity When it comes to AI and ML a lot of companies were using that as a differentiator, right? And it was very few companies which have that kind of a talent and it's not easy to build With the introduction of chat GPT and other software I do think a lot more things will come like this like when we started with AWS It was just AWS right and then GCP came in and then Oracle came in I'm sure there'll be you know few more, you know big software players will come in on this space, right? This will now become a commodity building an AI enabled app will become so easy, right? Then what will be the differentiator is what the companies should start to think because this is no more differentiated become a commodity It's easy for people to integrate. It's easy to get a enable solutions So the offerings will be much simpler offerings will be much faster So then what is the differentiator for the company so that others cannot replicate so that changes the game, right? So all these waves will come in who can latches that and then make use of that commodity And then bring in a differentiator for the company will be the winner That's why my own perspective of how things will evolve on the technology side So money was talking about distributed systems and AI as a differentiator So the way I see this tech evolving I think privacy is going to come in on a big scale our laws have not evolved I mean not just in India, but across the globe There are the the whole GDPR document does not even mention the word artificial intelligence or machine learning Right, so and there are Bills that are passed across different states that are in different stages, but there is no concrete loss that can tie AI and Privacy so for example, we always used to see you have sensitive enterprise information And then you use a translation tool that is built for the consumer or you use a grammar error Corrector detector that was built for the consumer So look at all kinds of sensitive information that is leaving your system, right? especially in developing nations like India where Privacy has still I mean people are not very privacy aware, right? So we don't pay for our search engines. We don't pay for our social networks. We So now Apple is doing a good job by you know by calling privacy as a differentiator So I see this trend where Privacy enabled Technologies will evolve and people like I mean the cliched saying goes data as the new oil But it is just a statement how many of us are actually giving up our personal data for some services that we use so there is I see an increase in very strict and tightening of privacy norms across apps and Privacy is going to be the next differentiator at least for the next decade and hope privacy becomes a commodity And that is the best we could aim for thank you