Panel Discussion 1: Technology in Focus
so good afternoon everybody uh I'm Dr shellyendra Singh uh anybody from Indian Institute of Management Lucknow here if you can raise hand any of my alumni peer IIT Delhi no okay anybody from kendriya vidyalaya so I am one amongst you and you know one of our peer group one of our peer group annab goswami is also a caveat and uh you know I will be the end of goswami of this session and I will ask all the tough questions to them the only thing is I will speak less so I will not emulate completely enough but of course the questions are coming your way and I'm sure you know they will have some good time and some tough time also because I am representing representing each one of you here and will also represent the industry here how the application is going to be done what are the expectations from the industry side and what we expect each of the technology Partners to deliver in terms of the technology Focus specially in terms of the new age Technologies like artificial intelligence machine learning we will also cover the application of arvr the the digital mapping of the whole infrastructure the remote applications and control the new age scada Technologies and I would also like to cover a part of 3D printing additive Manufacturing in my questions besides of course the cyber security and we will keep the session absolutely practical industry oriented and example focused so we will keep some rules for the game the rules will be I will come to each one of you asking one question and the next question will be picked up from your answer itself so so let us see how the how the session goes and it depends on you how you answer and the next question is going to be the tougher one because we will go a deep inside into what you are going to answer so uh are we ready especially the KV guys okay so we have we have I think uh 35 minutes now available with us how much time I would like to close exactly on time somebody would like to clarify how much time do we have 30 minutes so so we will close in next 30 minutes absolutely uh this is 12 13 and we should close by uh 43 or at Max 45. so my first question um I I would ask Mr govil so music can you share an example of application of additive Manufacturing in Industry any practical example you would like to share and I would be really happy to know if there were any failures and what were the learnings I think I'm audible yeah so we've done some Pilots so to say but uh as a mainstream in the mainstream production lines we haven't tried it yet but what I want to clearly highlight is what we've uh the area which was focused by our team was that for certain equipments which are uh you know High capex intensive pairs availability becomes an issue because sometimes you would find the oems they go out of business or they may choose some other or introduce some new new products because of which option because of which you face obsolescence in those equipments and insert in such situations you know you figure out that spares availability uh is is a it becomes very critical and because of which there is a situation wherein you will have to let go of the machine itself and because of the capex involvement no we all as manufacturers as Indian owners no we want to sweat the assets we want to extract maximum from from the existing installations so we've we worked on uh these scenarios wherein no uh how do we make maybe it could be O-rings it could be small a set of spares which could be which could potentially replace the OEM spares which were not available so to say so that was one use case second is no I also want to you know highlight on in terms of use of these Technologies you know you you spoke about artificial intelligence I'll just take a 30 second block that no till so far no we always thought artificial intelligence is something which is in from the Star Trek era but come November 22 no starting November 22 everybody and everybody no uh inside Enterprises and outside they have started realizing that no this can do much more actually and this is being talked about and I was just reading an article some time back that in the history of humanity this is chat GPT and the likes has become the highest uh has attracted highest attention ever since you know we've started talking about technology yeah so thank you so Sharad I will come to you now uh would you like to share an example of application of blockchain Technologies uh in in manufacturing and any use case you would like to share and any bottlenecks you face challenges you faced and how you how you came across those all right thank you um in terms of specifically blockchain as you know Hitachi has versatile different segments typically when we select any particular technology we take it at three levels one how it is solving the business objective number one number two within that business objective which functions are contributing and what is the bottleneck uh and and that's how we derive a list of Technology first of all then as you can uh appreciate that having a limited number of resources we cannot uh Train everybody on everything that that is when it comes to prioritize when we analyze that these are different business for example rail lifts energy um infra and we create a common list of Technology uh because we have to train them and we want it to be a longer medium and long term not a short term so we cannot spit ourselves across different technology so uh that's that's the process of selection of the right technology when it comes to blockchain uh what comes to my mind there are two applications one especially related to our infrastructure business wherein we are using it for smart contracts because they are asset heavy industry uh that is one second we are working uh with the help of Sil R D team which has some 100 plus AI um AI experts which we have developed in last three and a half years we are building a digital uh circular economy platform uh because the the whole world and Industry is struggling to maintain the information about the carbon emission and exchange of you know you know carbon credits and all we feel that this is going to be a big struggle going forward even if a company is planning to adopt circular economy they do not have the right systems in place so um with the help of our America team and India team we are building a digital circular economy platform which will soon be open for a common industry uh starting from three verticals very soon you will be seeing us launching that these are the two two you know immediate use cases so very very interesting example related to contracts so I think each one of us we face this challenge in terms of the contracts and how it needs to be executed sometimes the contracts will expire and the team wouldn't even come to know they will come at the last week for Renewal or contracts like this there are major issues and then both sides face challenges so ah would you like to share in an example uh share the challenges you faced in this particular aspect and how are you able to bring along the various stakeholders especially the various contract uh ah the agencies involved into this on the same platform for the blockchain project I think the operational issues which we faced in the beginning I mean I think 50 60 of that is resolved is the data quality issues uh it especially it comes when there are some Partners which are not um technologically matured enough to communicate so for example you must have seen the some of the regulations coming you know every now and then in terms of what we can really import versus what we cannot and in fact recently also government if India has listed um you know a few items or even if non-critical some even some fasteners for example in our rail manufacturing when we work on Rolling Stock and signaling especially for Rolling Stock when it is a moving part then even a Fastener which is applied on a you know critical juncture is is very important so there are some regulations coming from government and we have to have alternate sources for those critical components so we sometimes we have to go for leaving large suppliers I'll also go for small suppliers when they do not have the technology maturity it becomes a problem so these are the problem initial you know hiccups which we Face to establish such kind of contracts so especially now end up coming back so especially when you talk about the Rolling Stock how did you handle the rdso Lucknow that's very particular question maybe we can take it offline okay good so uh himanshu I will come to you now so himanshu would you like to share an example of AR and VR in manufacturing setup and an example where you would like to share how it was applied what went well and what did not work okay I can give you an example of our industry uh like most of you know that we build machines and equipments so we use VR and AR both in the process in pre-manufacturing stage so what and why we started doing this is virtual reality I'll explain first because when my designers the mechanical designers design a machine they design in a 3D environment using the soil cattier delmia Autodesk whatever and but when they present to my customers it is a 2d PowerPoint now that for me is a step down you design in 3D and you present in 2D first second issue is the designer is going to show to a customer what he or she feels is important now think of the customer he is at least interested in the thickness of the glass he wants to know what is the height of the table and now if I and you know most of us here we ask everyone over here please tell us in millimeters what is the height of this table there is going to be a variation somebody might say Char sauce everyone has a perspective of the height does it really matter that we Define a millimeter number or we want the end user to come and experience in virtual reality what is the actual useful height so what we do is we now take the 3D design machine line into virtual reality call the operator who is going to work on that table and tell him how is it that you feel about this height is it accessible to you is something that you would like to see in your future workspace missing in this these are the examples which we have got phenomenal feedback from the end user that's the operator using it the second category comes now the user of the table is least interest if you think of a machine he is least interested in how the maintenance is going to be done here's the user so now next instead of now my designer thinking of what is important for maintenance I get my customers maintenance team to analyze the machine in virtual reality can he for example access the motor the bearing and is he able to do the maintenance before the machine is manufactured in virtual world now hold on so many times I see industry people talking about that you have taught us to handle this machine in virtual reality but I don't know how to open it up with my own hand so how to handle that there is dynamic VR you can actually dismantle the whole machine in virtual reality the only thing you don't get is a feedback of the force but actually you can pick up a spanner a calendar and dismantle the machine in virtual reality take the motor out the weight and the force is something which you will never get I as of now at least technology I don't know if has gone where you can wear probably some gloves and simulate the weight but at this point we can dismantle the whole machine in virtual reality we can build the machine we can build a component analyze cycle time ergonomic issues in fact even to an extent I can now tell if I work on this machine in virtual world for four hours I can simulate that in four minutes I can tell you okay in four hours I would have this much fatigue so even fatigue analysis is done in virtual reality so this means this brings me to my next question this means that it is possible for many small scale industry who are scattered all across the country to get their machines repaired in using AR and VR in real time basis is it possible or not or if it is possible if it is not possible today what do you think would be the time line in coming years by when it may become possible so machine maintenance using AR is already there the only limiting factor is our Network in places where you are remote you might not have Network to access expert to who will guide you on augmented reality how to do a machine maintenance if you don't have Network you are stuck so if you have Network already augmented reality is solving problems and I am might our team is connecting from Denmark to guys in Thailand in Indonesia in India as well in Chennai coimbatore and telling the guys just come on with our AR app on your smartphone show us the problem and we are able to pinpoint and guide them using AR or what we call as mixed reality so we are able to superimpose a e-plan on the actual control panel and tell him this section over here through our phone when you see is a problem please replace this so that's already in my opinion in existing and it's been in use okay so I will come to himanshu with a follow-up question on this so ah you know taking queue forward for from what Rajesh was saying uh himanshu you know I met uh sorry sorry Rajesh so Rajesh you know I met the founder of full dot uh CEO lately about a week back and what they do is they recycle the flower ways from the various temples it's IIT kanpur startup and a few years old now and they they recycle it to make for example packaging material for the industry or they they make various products out of it so they recycle the waste of flour which is flown into the rivers or ponds from the various temples or religious places across the country and recycle it now the point is they for doing this they have developed they have worked out certain machines these machines were originally were compressor machines using the billing by Siemens and some other people occasionally they face the challenges of maintenance issues because a small company scattered across the country and they have to do it very near the temple and if they are not able to recycle and use the machines on that day those flowers are gone because it will get rotten up now my question to you is taking a cue from him that arvr can be used to repair such type of machines in real time basis how do you think it stands out for small scale industry and medium skill industry who do not have a dedicated maintenance Manpower available so what are your initial thoughts on this okay this is the question out of my syllabus for the matter but but fortunately I come from IT background who has served the Memphis industry for almost five years but oil and gas for almost 10 years luckily in my previous company the Theisen Crop AG I was a regional CIO based out of India and we had so many entities almost 13 one of them happened to be uh elevators which is mostly known in that business and fortunately we had the implementation I think himanshu just talked about it the AR vrs using Hollow Lanes when as long as your end end devices iot are are smart in nature you can gain access to it and provide all the remote services that you want to do it and this practically that was something that we actually delivered to the customers wherein from a remote location or anywhere a highly skilled person of that competence could remotely Connect into any of these devices do a do a VR our review and inspection and actually order a part something that was not possible but had been triggered elsewhere in the western world was actually also delivering the spare directly at the client location without actually having someone to carry it right so something that should also happen in India maybe through the logistics that we have today the use of drones we should come in sometime wherein for any kind of I would say critical systems you could actually have the inspection done remotely you could have the unlocking and locking of the entire system done remotely Wireless any kind of spare delivered through these systems the logic system that are now being tested out and army actually used by many of these players including including I was recently looking at McDonald's using using devices where which allow people to fly right delivering fees as remotely and to any other location and I suppose the same is has been actually implemented and is available even in India so it's a very good input so what you are trying to convey is that at the end of the day there would be a solution available for small scale industry and medium scale industry in coming years or coming months we are such type of repair would be possible in fact I have seen it happening there are few companies who are doing it uh we are reviewing uh some of the startups in the ti we have such type of accelerated programs even for my company where we support some of the accelerated startups we are supporting like this so those type of Technologies are expected to come and I am sure that will take take root in coming years but uh you know if I see a real application I saw that in in a joint collaboration by IIT Delhi and all India Medical Science Delhi where they collaborated on certain Technologies for like this by ways they are able to do some Advanced surgical operations uh using robotic uh offline to online tools from anywhere in the world in any Hospital across so those things are being tried out so if such type of intricate work can be done I'm pretty sure such type of Maintenance would also be done so very good input but that brings me to uh to all Indian student Medical Science and a few stop institutes who face the challenge of uh Cyber attack and cyber security in the uh in the context and we see that in manufacturing and across the value chain we face this issue of cyber security and I understand that you have a long background in this area so what are your initial thoughts on cyber security and how do you think these challenges will be met in India okay uh thank you uh you put it right I have had some background in information security as such um what I see happening then we give you some insights to a background manufreshing setup traditional not exposed to internet as such it's a it's a crown jewel you want to protect but suddenly someone like many of us in here advise our companies to move into the cloud get all of these benefits that accrue from say AI or vrs and ARs and vrs which which necess state that you have to have and interconnect between the it and OT so cyber security as such has been mostly I.T dominant with I.T leading that engagement right and they are trained to kind of respond well keep a track of what's happening in the world using using uh intelligence across from various players determining what is coming through which could be a potential risk to us and trying to keep it keep it away but yes while that is going to happen and it is likely to happen what is important is also at the important time having an incident response system in place so it can kind of reduce the impact and at the same time the OT part of it which is our manufactory plants as such which are now infused to integrate into into and align with the integration with the I.T part of it as such the people managing that aspect of the plant are are ideally not it trained I.T sensitive these are people who are many maybe the meas the distributed Control Systems which now are a part of the entire engagement and suddenly are exposed to um say the the potential threats from internet connectivity right so so you know the people sitting out here they are of course thinking in their mind that when we go to the shop floor industry shop floor um the team is working with various robots and you know you are they are using their pen drives they are downloading the data and here you are talking about that we we keep the integrated system data into cloud and the company is very susceptible if all the data goes to Cloud even for example then with the newest Technologies like AI ah how do you how do we ensure the sanctity of data and whether that data will remain with us what are your thoughts about it okay so there are various Technologies it's like when I leave my place or my residence for the office I have to commute right so there's a potential risk in everything that we do so the moment you start adapting the cloud Technologies you need to also be aware of the dress around it right and there are Frameworks around available that you can potentially ask your cloud provider to offer and subscribe to many of them already offer it like Global certifications or standards like ISO 2201 if it's a payment Gateway they have to have a PC ID says compliance which gives you an assurance that the company or the host provider is doing enough right to be in a position to give you that assurance that whatever you place there in the day in in the system whether it is data in the cloud or in transit all of it is encrypted to a specific level and it is secure right as long as this is being met as a basic framework there it should not be a worry but but you also still have to use your threat intelligence because every time you want to and if by any chance you have systems which are not patched these are the real causes of actually exposing your vulnerabilities to the outside world so as long as you are protecting both your internal and external world you can surely reduce and benefit from what is being offered to you so would you like to share an example where it has happened and how how it was handled well I don't want to name the company but yes it happens every now and then many of the audiences out here would already be aware of incidents that have happened there there are many times even even state sponsored um I would say I should not really give it a real word but yes scenarios wherein there could be potential exploits and it has happened to even get your plants out of out of a it will be your competitors it can be an individual and it can be your hackers as well who attempt to do that so so I will come to Mr Google on this so uh you know because you are handling transformation also I am sure similar type of challenges are being faced at your organization also and anti-industrial per se so how do you see this aspect of keeping the data on cloud and when you work out a transformation either in sap or some other measures how do we ensure that this transformation is seamless no actually if you were to see uh seven eight years ten years back Cloud was considered that you know we whether or not we need to move to the cloud and where is there a business case to move to the cloud and cyber security was one of the major concerns at that point of time but today as we speak most organizations of our size and maybe of lesser size or bigger ones they have cyber Security Solutions which are deployed on the cloud so suppose you have an endpoint protection system that's hosted on the cloud of course you've got agents on respective machines so the the whole order has changed in in the subsequent years and now as we speak there are multiple of these SAS offerings in which you can experiment you can try out these offerings whether it works to your advantage or to your business Advantage you perhaps maybe out of 10 such experiments there may be three which in which you succeed seven in which you fail but there is you don't get penalized severely because of the failures which was the case earlier because earlier for you to do experiments or trials on these new age Technologies you have to put up your uh no servers in your data centers compute storage whatever no and all that cyber security aspects had to be factored but today you know you have these Niche offerings Specialists no special products which are available it could be for data analytics it could be for driving artificial intelligence doing predictive maintenance all of that is available and today as we speak I give you one example you know we also use book about examples here so we are doing one um specific use case which I want to highlight is on energy monitoring okay so what we have done is we have connected more than 100 plus equipments which are either high energy energy generators or consumers within the plant premise and we are monitoring not just the energy consumption we are also monitoring specific energy consumption we are also monitoring uh any imbalances in their voltage current profiles which is an indicative of their health also indirect Health indirectly it's a proxy for their health of the equipment also and this is what we are doing it on cloud because if we were to set up the the computational environment on-prem it will be prohibitive in terms of basically acquiring it and then also maintaining it and here also we have a choice that no today if there is no uh no after two years if we realize that we don't have to continue it further we just have because it's a model so you pay as you use so in that sense of the world you can very well let go of that okay so I think we we are in the last six minutes so let me involve the the audience now and so I will give a case study here so uh and I will allow the audience to ask some tough questions along with me uh so the case study is like this I would like the audience to to ask questions around this case study so that it becomes interesting so case study goes like this is that there is a company called Waba Tech uh which is a recruitment platform completely technology focused so they have a they have a AIML based system by which every person who comes to their platform a plus category institutes only only iits IMS and they would be interviewed and each one will be analyzed using AI VR platform every every person is interviewed and that interview is analyzed using on Ocean traits and the company knows whether this com this person fits into the profile or not and they allow only International recruitment hundred thousand dollars and plus only only a plus institutes only only topic degree now with this background I would like you to ask questions to to the to the panel here uh keeping this reference in mind about this company uh what type of challenges this company May face ah how do you see the the integration or or similarity in your own context and then what could be the possible solutions anybody who wants to volunteer you please just share your name and question please I am Anil Bhatia and thanks Mr Singh for your engaging session the context which you have given right it is related to uh the recruitment company right so my question is related to that and holistic also the question is related to credibility of data right because we are talking about digitalization industry 4.2 5.0 any name
you can give we are talking about data we are playing with the data right the more the data the more wood with the sanity so the question is revolving around the credibility of data and why I am asking this question I will just give you a background because I will I will because there are various stages where we can lose the sanctity of data including iot's Edge devices and particularly Predictive Analytics which is AI driven right so somebody has written that algorithm yes and how to cross check that it is a credible data because actually but insights are depending on that one right so let us keep question small and crisp so okay who would like to answer that go ahead Mr Pandit Chris sponsor please see for any AI solution to implement you need to have data right and most of the times as we say even if a person lies we are biased to one side or the other however the intent of all of these algorithms which have been evolved over the years the intent is to get that bias out of the system right the ultimate objective is to derive perspectives and insights from the data you will always have biases whether in an AI system or we as a human you cannot take it off but yes while you enhance and improve the productivity or the outputs from the system the more you feed the data into the air solution and you have various statistical algorithms available wherein you are able to determine and predict as to what is the bias in the software or the algorithm itself it is developed by us the basic algorithm is given by us but ultimately the system learns on its own unless on its own while we as humans essentially may actually unlearn as well the system never unlearns so it keeps on learning and keeps on improving on its own so there is an intent and the systems are automatically reduce the biases that you expect or that you indicate in here and when you talk about the integrators so I I think you have answered the question to a large extent let us go to the next question ah thank you Dr Singh a very good context myself Anil Pathak from Harman so the question is this since lot of data is being used AIML how do we ensure the privacy of the data the candidate has an option to delete it thank you so privacy of data sure you want to take that shut up or anybody else Mr Google okay Mr Google please I think data privacy is becoming a you know serious concerns because we've seen gdprs of the world already in Europe but and we are now seeing a gdpr a liquid like gdpr no way data privacy bill being launched in India also it's so what what we clearly see is uh of course you need to have explicit consent from from individuals whom with whom you get the data because in in a recruitment setup now you would have uh credentials you will have uh maybe passport details or other details aadhaar details also perhaps so all of that and and then of course no you have to make sure that your systems which are there you put data leakage preventions uh controls are there encryptions are are in place so that no of course there is no data breach which is there so you from a cyber security standpoint and also from an Access Control authorization controls you you make to have maybe multi-factor authentications in in place so multiple controls today are in place to make sure that breaches can will be avoided yeah okay so thank you I I think I think we are all done with time we should never cross the time limit 45 we will close so thank you for good questions I I think two of you from the audience uh great sessions with all of you uh challenges remain so all the best have a great day thank you [Music] thank you
2023-08-13 13:08
