IndoGerman AI Collaboration Driving Economic Development and Soc

And we are delighted to note that many of the activities that were outlined in the MOU have already kick -started. So I think to that extent, it’s fantastic that Dr. Padhya is here today and will share with us his ideas on where an Indo -German collaboration in innovation and AI can have a value proposition for both countries. I’m also delighted to have my own colleague, Dr. Thomas Kuhn, who has come all the way from Germany from the Fraunhofer Institute of Experimental Software. He will be sharing some of our experiences and competencies in AI, particularly with focus on workplace changing, which is, of course, one of the biggest topics we have today, but also manufacturing, agriculture, and health.

And I think one of the key topics that Fraunhofer can present to the Indian audience is data space. We have created a secure data space in the cloud for many years where challenges remain. Industries are brought in and discussed. So you will hear a lot from him. I’m particularly delighted that four Bangalorean CEOs are here today. We have with us Sindhu Gangadharan, who needs no introduction, I think. Anyone knows that, and who doesn’t know is coming under a stone. So we also have Anshuman Eversi for CTO of Mercedes -Benz Research and Development Center in Bangladesh. And we have Dattatri Salagame from Robert Bosch Software Solutions. And, of course, Prashant, he’s sitting at the back, Doris Rami from Averior, which was earlier Continental.

So as you can see, a power -packed industry captain session, which will follow after the panel. And last but not the least, we have Murali Nair from Bretelsmann Stiftung, which is a think tank, which has been producing products. A lot of knowledge papers around India and Germany, and actually positioning India as a positive partner for Germany long before Germany even started looking at us so seriously. So thank you for that, Murali. I’m standing here in front of you today as the head of Raunafa in India for the last 18 years extremely proud that Raunafa is one of the largest applied research ecosystems in the world we have 76 institutes in Germany we are present in more than 80 countries we produce two patents for every working day we are also the inventors of the LP3 white LEDs and many such inventions but what really singles us out in this innovation corridor is the fact that we take research from lab to the market in the shortest period of time so this is an area where India really needs support and we are delighted that we were one of the first movers coming into India 18 years ago and even today there are very few international R &D organizations that are active in India you We have been earning more than 70 million euros in the last 10 years from research contracts with Indian industry, government and research organizations.

And we have an absolutely amazing network of partners in India, including organizations like CDOT, but also with Indian industry, which is really gearing up for innovation. So I think we came in at the right time and took advantage of this, you know, innovation trajectory that has picked up in India. And it’s exciting to see what’s unfolding before us. I have to say that today what we are bringing together is really a thought -provoking session. We only have 15 minutes, so I would like to get on with business immediately. And we hope that some of the thoughts that we are leaving behind with you today will resonate and will actually trigger a long -term dialogue and engagement so that we can take the Indo -German innovation collaboration to greater heights.

I would now like to invite Mr. Georg Enzweiler. To kindly deliver his special address.

Good morning, ladies and gentlemen. I don’t know whether it’s maybe that we are just as crazy as you are sometimes that we are big fans of Karnova here in India. It’s always delightful to be invited by you here in India. You do amazing work here in the country. I wish we’d have several Anandi ears here in the country to multiply your efforts. So thank you very much for the invitation. And I’m impressed by the distinguished panel of speakers today and of panelists here. Thank you. All of the panelists and speakers here today are drivers of technology, and so it makes sense that you are also at the forefront of innovative AI technology. From increasing crop revenue, improving diagnostics, or minimizing errors in manufacturing, AI undoubtedly has huge potential for social and economic good.

AI is predicted to contribute between $5 and $15 trillion to the global GDP by 2030. But there are also questions, of course. How can we ensure that this growth is inclusive? How do we minimize negative effects for people and the planet? What kind of effect would this have on labor markets, for example? After all, the motto of this summit is actually welfare for all. India, for one, has ambitious goals to create massive computing infrastructure in big parts powered by green energy. Germany is investing in so -called AI lighthouses, which foster AI innovations for climate and environmental protection. Since 2020, Germany has funded over 60 projects leveraging AI for sustainability. The topics range from wildfire prevention and renewable energy to biodiversity monitoring.

And circular economy. that government, academia, and industry work hand -in -hand. By promoting research and development, creating a clear regulatory environment, and investing in the training of skilled workers, we can unlock a broader potential for AI. India shows huge potential here. It accounts for 15 % of the global AI talent pool and has the highest AI skill penetration rate. In terms of research and development in AI, India ranks third in the world after the U .S. and China. India and Germany, with their longstanding scientific partnership, are natural partners in creating solutions that are sustainable and inclusive for all. Hence, only two days left. Ministers Vaishnaw and Wildberger launched the India -Germany IA Pact, a new partnership focused on implementation -driven collaboration across government, industry, research, skill development, and innovation.

It will include aspects as AI for industry and manufacturing, talent, skills, and mobility, joint research, innovation, and infrastructure, and overall AI for social good. So I very much look forward to the discussion of today’s session, that it can give fruit for thought on this most relevant topic. Thank you again for the invitation, and I wish all of us an interesting discussion on, many of these pertinent topics. Thank you.

Thank you for your kind words, Mr. Ensweiler. We now have the pleasure of hearing Dr. Thomas Kuhn, who heads the Division of Embedded Systems in Fraunhofer IESE. As you all know, we talk artificial intelligence. In Fraunhofer, we call it augmented intelligence, which means that human intelligence is still at the core of what we’re talking in terms of AI. It’s a pleasure to bring Dr. Thomas Kuhn to India. The floor is all yours.

Yes, thank you for inviting me. Yeah, what is Fraunhofer? doing in the field of AI. You all know AI is on one hand large language models, mostly driven by the US. We have huge open source models coming from China. So what is Fraunhofer contributing? And our goal is to bridge industry and academia to support the industry in creating new products and bringing ideas into practice. And I’ve chosen here a few highlights on what we can do as Fraunhofer. So for example, when you speak about AI, the question is, how reliable is the result of AI? Do you get concrete, do you get reliable information? That’s one topic, trustworthiness. How can we achieve trustworthy responses? That’s something that Fraunhofer is researching on.

For sustainable growth, it’s also very important to preserve knowledge that is available in the company, especially if people retire. Small and medium -sized enterprises have exactly this problem that knowledge is leaving, and you cannot get this knowledge back because the new employees simply don’t have this knowledge anymore. So how can you preserve knowledge? We call this industrial AI, so bringing AI models into practice, creating specific, specialized AI models based on company data, based on sensitive data, not personal data of persons, but sensitive data for business, sensitive data for companies, so that they can support these companies with these needs that the AI can provide. For example, it creates a colleague that is an expert for a specific device and that can help.

humans to work more efficiently with this device. And last but not least, as my colleague already did introduce, data spaces are a key technology for that because for AI, we need to be able to train AI and therefore we need a reliable access to data and a way to share data, but based on rules. And that’s what data spaces are meant for. With Raumhofer, we have the ability to instantiate data spaces that scale up to 10 ,000 transactions per second, and that’s quite a lot. So Raumhofer is structured into alliances, and the most important one is the big data and the artificial intelligence. Alliances, so more than 30 institutes that team up with AI, in creating AI strategies, each institute with its own field of competence, but all of us support best practices, studies, expert opinions, and we support all companies in creating new solutions.

And as you can see, we have a lot of fields that our institutes are working on, life sciences, healthcare when it comes to diagnostics, to personalized medication, logistics and mobility for optimizing supply chains, making them more resilient, production and industry for that all, very important. We also need to keep production in Europe to remain resilient, so it must be economic to produce in Europe. Energy and environment. Renewable energies. Smart goods. self -managing grids. That’s very important topics also for AI and big data, business and finance, security, to make sure that our data is well protected. I cannot go into detail for all of these topics, so we’ve collected a few samples on web we are doing from embedded AI, image analysis, collaborative transport, cancer diagnostics, swarm intelligence, of course also defense topics.

I cannot go too much into detail here but AI has a huge impact and why the ways regarding general purpose LLMs is not our ways. The applications that can be created with AI, the transformation of industry that is very well our knowledge. to bring AI to use. for industry. And therefore also to use for all, and then we are back at the topic of this event here, welfare for all and happiness for all, because every industrial revolution in the end did yield much more wealthiness for everybody. I have brought some highlights, and I promise I won’t go into details here, no worries. So the virtual colleague is one thing that is important when people leave companies.

We have expert knowledge, we have experience, and this is very hard to preserve. So just imagine a virtual colleague that follows the people in the field, that learns from them, and that keeps the knowledge in the company once this person leaves, so that the company knowledge is retained. That’s one project. One project that Fraunhofer is doing in the field of AI. to support industry and also smaller medium -sized industries. Trustworthiness, that’s very important. We all know that AI is not perfect, and probably some of you have already tweaked the AI maybe a little bit on purpose to see, okay, how far can I go? With that, AI basically is stupid. It has a lot of knowledge, but it has no understanding of that.

Trustworthy AI means we observe, for example, the field of use for a specific AI model and track whether we are leaving this field. We have an uncertainty wrapper that gives you, with each response of the AI, an uncertainty value that says, okay, how trustworthy is this particular response? And that’s very important when we want to apply AI also in safety -relevant environments, for medical. for medical diagnostics, for image recognition, and also in traffic. That’s very important then to know how safe is the assumption of the AI here. Moderated AI training is very important when we want to work together. For example, a robot that can grab something that every human can do, grab into a box and take something out.

For a robot, that’s a very big challenge. We can train robots to do that, but it’s much more effective when we can do a federated training where everybody can contribute data, and in the end we receive one model, but one model where you cannot derive any sensitive data back because nobody wants to share their sequence. So that’s where data stays. That’s where data stays. That’s what data spaces are meant for. We share data based on rules. We can provide data just for training of AI. Everybody will see the raw data for that. We just use it for training of AI. And here, Fraunhofer is researching both government policies and efficient implementations of cross -company data spaces.

So that’s my pitch, my motivation. I hope I was able to give you some ideas, some insights in what we can do with AI besides of open AI. I think Sam Altman is not here, so I can’t say that. They’re doing great things, but there are also great things that can be done in addition to that. Thank you.

Thank you very much, Thomas. This was just an appetizer. As you know, we have a lot of time. We have very limited time, but anybody who’s interested can visit our stand, where we’ve also demonstrated some of the use cases in AI and agriculture, and also AI and medicine, and AI in manufacturing. You’re welcome to visit us at the German Pavilion. I would now like to invite the CEO of Center for Development of Telematics to share a few thoughts on where India and Germany can work together. Thank you so much.

Thank you so much, Anandi. Thank you, Anandi. Quite pervasive, it is being applied to almost all the sectors. And where it is not applied, it will be applied sooner or later. because it underpins the competitiveness, productivity, and societal resilience. And for India and Germany together, Germany being the precision engineering expert, you know, for years, and India bringing the scale, I think there is a very good way that India and Germany work together and align how the AI is taken forward in a very responsible, ethical way, so that not only it helps us economic progress, but also meets the social good challenges. As we know, India’s AI system is quite vibrant, ranking third globally for its competitiveness and developer activities.

Our AI mission is already in progress. We are investing more than $2 billion. We have given to all the startups 38 ,000 GPUs, and this will be further increased. It could bring $1 .7 trillion value to India’s economy by 2035. And the tech sector particularly is productive to contribute $280 billion revenue this year itself. Germany’s AI market is also rapidly expanding, driven by strong industrial integration, particularly in manufacturing and substantial public -private investment. Germany’s AI market is expected to be nearly 30 billion euros by 2030. I wrote that there are more than 600 startups in Germany, and we also have a lot of startups. I think together, how the startup ecosystem could work together for the benefit of not only both the countries for bringing global good to this sector.

So there will be a fair win -and -win situation for India and Germany, partnership between two great countries given our diplomatic relations, given the, as I said, the precision in engineering which Germany is famous, and the scale what we bring in India. I think there are many areas where we can contribute, but I thought I will focus on two, three. One, I think it was mentioned in smart manufacturing. Germany’s leadership in industry 4 .0 and India’s expanding manufacturing. I think this government has invested heavily on the manufacturing under various schemes like PLI and DLI schemes, and it is going to go forward. And therefore, how do we use AI in smart manufacturing? We would like to work with Germany in terms of developing smart manufacturing standards, cross -border industrial data flows and safeguards, enable energy efficiency.

And since we arrived late in this manufacturing space, a lot of our manufacturing plants have actually started using AI. In fact, recently there was a science evenistic wherein the Tata’s, how they are going to bring down the cost. using AI in manufacturing. The second point I think Anandi brought up for agriculture, I think Parnasar is already working in India for agriculture, and agriculture being one of the key partners for economy, the service sector and the economy, agriculture sector, I think it also makes us a good partner for how do we improve the productivity, the yield, the income for farmers, the efficiency gain, productivity gain, and that will be another area we can work together. I would also like to say that, you know, given, especially given the economic progress we are making, and we see a lot of challenges coming from the cyber security area.

We get millions of attacks in our country, millions of attacks. and I’m not sure what is happening in that part. So, therefore, AI in cybersecurity is very, very important, which we use to some extent and we would like to learn from Germany, whatever, and we would like to share these, what we are doing, how we are using AI to, you know, come to a pattern because the kind of data flow, for example, in India, we receive data rate at 10 terabyte per second. 10 terabyte per second is the data rate. And how do you process this data in real time and be able to tell that, that how and where the attacks are happening? As far as the CDOT is concerned, we work in various areas.

I don’t know, some of you may be aware. I would like to place it on record that India made its own 4G and 5G, and it was launched by Honorable Prime Minister in September 25. And this was a journey we took alone. For 6G, we would like this journey to be together with the world because we were actually not. We never developed 1G, 2G, 3G. Suddenly, our Honorable Prime Minister said, you know, 4G and 5G, and we did in two, three years, and it is launched today. Thank you. close to 170 ,000 base stations are radiating, generating a data rate of 5 petabyte. And we’ll go further. So 5G, 6G is one area. The second area is quantum because as all we know, many of the leading economies have put a sunset date to the current level of encryptions which will be broken because of the quantum computers.

And therefore, there is a need to work on quantum together. We, particularly in CBOX, we work only in quantum communication. In fact, I am the chair of the National Quantum Communication Hub along with IIT Madras. We fund a lot of research into quantum to start up. So this could be another area where we could work together. The third thing is I’m not aware what kind of frauds happen in Germany or happen or don’t happen. In India, there were, you know, there were a series of frauds, cyber fraud calls or this type of calls. So we developed the system at India scale and are successful today in blockage. For example, I’m just giving example of we used to get 1 million regular international calls, and we were getting 15 million spoofed calls, 15 million spoofed calls per day.

And at my gateway, in 5 milliseconds, I have to decide whether this call is a real call or spoof call. Today we have deployed the system in India, which in 5 milliseconds tells you this is a spoof call, drop it, and this is a real call, send it. So at India scale. We have developed a platform called SanchalSathi .gov .in. I don’t know how many of you are aware. This is, again, a digital intelligence platform. One side is exposed to the customers, the citizens, and in back it is connected to all kinds of stakeholders. What used to happen is, as Telecom, I have declared one, let me first check the time. So, yeah, I think it’s happening.

So one is that, you know, in telecom I have said this number is turbulent. Bank doesn’t know. Police doesn’t know. So what we did, we integrated all of the stakeholders in one single platform, which we called digital intelligence platform. Once I declared this number to be a turbulent number, for any reason, it is flagged in bank, police, everywhere, so that everybody takes care. Today, when the actual financial transition happened between A to B, there is a module which we have developed called FRI, financial risk indicator. Before the money is transferred, the bank digs through the database and says, this money is going to be, is it safe? So my system tells me, no, it is not safe.

This guy is not a safe guy. So the transition is stopped. So we have done the fraud management at scale. We would like to work with Germany to further enhance it and how to use AI into this. And going forward, I would only say my time is over. AI should not widen inequalities. It should strengthen inclusion. Productivity and resilience. Let us ensure AI becomes a pillar of sustainable economic growth and social good. As Anandi said, we already have an MOU with Fraunhofer, which we are working together. I would be very happy that, you know, if this partnership goes, must go on. And we together are going forward, given the geopolitical changes happening, we’re going forward together.

We will go and develop the technologies together for the wider social good. Thank you so much.

Thank you, Dr. Upadhyay. I can only underscore that it has been an absolute privilege working with you. And it is not something where German technology is being given to CDOT, but we are actually co -creating. There are India -specific challenges for which teams from CDOT, who are extremely qualified and they have amazing infrastructure, I would really appreciate at some point, Dr. Upadhyay, some of our German delegates, maybe not this time, but next time, come and see the kind of work you’re doing. Because I think that brings a different level of understanding inside and trust. Without wasting any time, I’m sure all of you are waiting to listen to Professor Dr. Sinemus. We had her yesterday, and I must tell you that it’s really amazing to see, first of all, a woman as a head of innovation and digitalization in Germany.

to get the leg between research and then bringing it really to society and to economy growth. And at the end of the day, I’m coming out of the biotechnology area, and I think we really have lost a lot of chances in coming from the research really bringing to economic growth. And I think AI has the opportunity, and as well quantum, as you mentioned, to do this. And, Your Excellencies and gentlemen, ladies, it is a great honor for me to deliver a special address. I never have given a special address, and try to do this in the German National Technology Forum. I’m coming out of a region where we are working together. struggle together with Fraunhofer.

Even in my hometown, we have two, and one of this is the Fraunhofer Cyber Security, where we have the digital hub of cybersecurity as well. So we built a startup ecosystem in the area on the interface of cybersecurity and digital and AI. So many of this could be an anchor point afterwards. As Minister for Digitalization and Innovation, I very much welcome the opportunity to discuss how we can turn AI into concrete public value in manufacturing, in agriculture, in healthcare, and through trustworthy AI, as Thomas Kuhn has pointed it out. The AI Summit, all is about AI and we see how dynamic the process is going on. AI is already transforming how we produce, how we heal, how we grow food, and how we govern.

And the key question therefore is not if AI will shape our society. The question is how. And whether economic development and social growth move forward together rather than separate directions. And looking at the dynamic AI is going forward, we really have to be careful that we balance these economic development and the social part. And I think this is something which has to do with trust or trust as well. In my region developed a clear strategy. And our digital strategy and AI strategy are based. On a simple but a helpful demanding principle. That is. technology must serve people, not the other way around. Our AI -made Innocent Agenda combines innovation with responsibility. And we want AI that strengthens competitiveness, but also social coherence, fairness, and trust.

And this is the way we invest not only in research and infrastructure, but also in practical projects that deliver tangible benefits for citizens and business. So we have a funding program. It’s over $60 billion. And we invest in people who have a vision in how AI can benefit humans. So we invest in 170 startups till now, and I want to give you some examples so that you get an idea. And I start with healthcare, because healthcare is one of the most promising fields for social good. We support innovative projects that would be very difficult to realize without our public backing. And we fund, for instance, one project, it’s called DEMO, and DEMO, it’s not DEMO, it’s DEMO, and it’s a small group, three people who are working on PhD at the Technical University of Darmstadt by Alma Mater, and I was happy to give them 1 .8 million euro, because they are developing a load -bearing roboting wheelchair.

A session to a walking robot. that can safely and autonomously overcome barriers such as stairs or uneven ground using advanced robotics and AI. This project will help for the people with mobility impairments. That is no science fiction. It is a difference between dependence and independence participation on everyday life. And I think that is really a good example of how we invest our funds. Another example is RISCA, Risk Certification in Cardiology Using AI. The goal is to build a clinic decision support system that analyzes patterns in ECG recordings with AI and detects cardiovascular diseases at an early stage. so you can go through prevention. That are two of a lot of AI and healthcare startups we are giving our funds in.

And a second field I would like to highlight is agriculture. Even for India, agriculture is a very important area and a rich and crucial pillar of economic development and food security. Again, we support a project and there is only one of a lot on the early detection of plant diseases. Using automated analysis of satellite data, so we even connected with the space, AI models can recognize signs of plant stress and disease at every early stage of growth circles. So, you can really reduce pesticides and analyze before. So, you can really reduce pesticides and analyze before. So, you can really reduce pesticides and analyze before. AI can, at the end of the day, make agriculture more sustainable and more productive at the same time, and I think this is something where we have to go through.

Another example in our strategic agenda in the future of AI is that we set up an AI innovation lab at Hessian AI, co -funded by my ministry, and we provide a high -performance computing environment specifically for AI applications, along with advisory services for science, business, and public administration. So this is a particular focus in the startup and SME. We want to enable smaller players to develop innovation AI solutions, and we want to be, at the end of the day, in a position that trustworthy AI is not a slogan but a practical challenge. And this is why we established an AI quality and testing hub in Hess, a public -private company that develops methods and tools to test.

AI systems. So at the end of the day, the aim is to translate the idea of trustworthy AI into testable criteria and practical producers that business can use real deployments. So you can say that is trust for AI and we give it as trustworthy criteria. To the end of the day, I think, looking on the discussions we have had in the last days, that the inner German dimension is particularly important. India has shown with initiatives like other UPI and IndiaStack how digital public infrastructure can scale and enable innovation at massive levels. Thank you. Germany can bring expertise in regulation, not too much, data protection. and quality assurance. Together we can build bridges between scale and safeguard, between innovation and rights, between economy, development, and social good.

Because we are thinking grounded on the same values, democratic values. And let me close with a conviction that guides our work. AI will not automatically lead to better outcomes. It depends on the choices we make, what we fund, how we regulate, which ecosystems we build, and whom we include. So let us proceed on our democratic values and go forward with a union, German collaboration in AI. Thank you.

Thank you so much, Dr. Sinemus. It was really a thought -provoking and a very concrete talk on what we can do with AI. There is the scope for the German collaboration. Without much ado, let me take forward what we all on the topics that you have mentioned by inviting the four CEOs to please come on stage. Can I request Atatürk, Sinemus, Anshuman and Prashant to kindly come up? We have a few minutes to really get into the topics. And I would like to just start by very quickly saying that In the last few days, I’ve attended quite a few of the sessions here, and there are so many nomenclatures for AI. It’s been defined as a transformational technology that comes once in several years.

People give examples of the steam engine and of the Internet revelation and Industry 4 .0, which dramatically changed the way we live and work. We are now riding an AI transformation, but complete with anxiety, with speculations, with admiration, but also with excitement. So let me take the audience through to what makes a CEO stay up at night. And let me start with Pratatvi. Vosh has been a pioneer in India. You know, you came here a century ago, and you’ve stayed on, resilient to the Indian market, which has not always been very easy. And you’ve been a pioneer in India. You cover a lot of base, signing across manufacturing, software, medical, and many more sectors. How does the vision board of Bosch lead in terms of the AI development and deployment?

Maybe the first question not keeps me awake in the night. The fact that you are 100 -year -old and, you know, if you are 100 -year -old, the effort that you make changes also higher. So that keeps me awake at night. As Bosch, I think we are working on two sides of it. So one side, you know, if you see we are deploying AI into the market. You know, if you see autonomous driving, AI cockpit, or AI in healthcare. So these are our products which go into the market. So fundamentally, we are, you know, navigating. We are navigating a new business model, new behavior of consumer, and developing new products for that. on the other side now we are using AI to disrupt long held beliefs of how we build software how we do engineering so this is my say while we are huge excitement to position our AI centric products in the market I would be dishonest if I say we don’t have anxiety how to get over the paradigm shift of engineering and software development using AI so these are the two edges at which we are operating now thank you so much

Sindhu let me come to you you are the world’s leader in enterprise application software one time I remember you telling me that 97 % of companies worldwide use SAP it is already embedded in your workflows even before people are talking and wondering how to go about it but how do you see you have a responsibility because you have a captive client base How do you see these innovative technologies being rolled out to companies while they still have anxieties about their business? And how do you go about assuaging those fears and building in a model that works on layers that are already set and, like he said, very difficult to move right now in retrospect?

Well, first of all, Anandi, it’s great to be here. It’s an absolute honor to be amongst this very distinguished panelist and you and all the previous speakers who have been saved. Yeah, I think, like Zazadeh said, we live in times which are changing, particularly in technology, right? I mean, literally every day you have to open up and see what is the new LLM that’s out there, right? So that’s the way it’s been and which we are now in the open. So in that sense, this is… The assurance, when we say, when we are talking about the world’s largest enterprise application, the failure from SAP, it’s a lot of… The cost that our customers place on us, many of them sitting right here at those tables, are too hard.

And so then when we say 87 % of the world’s business partners, such as an SAP system, it’s a matter of lack of responsibility and a lack of trust, which we continue to take forward, given the 1226 industries and across 12 portfolios that we have, right? But at the same time, given the pace at which technology is changing, our responsibility also from an AI perspective is embedding AI across the core of our business processes. So if you take a process like a lead to cash or a total risk force management or a design to upgrade, strategic sourcing or procurement, this is where we show our customers that we’re not helping you to make your best, we’re doing the most compliant and the most ethical and the most responsible manner, right?

And so I want to make me say, to make sure and protect the choice. Customers also have the choice to run in a secure manner, in a compliant manner, in an ethical manner, and in a responsible manner, and which means also translating from several of our speakers. You need to be able to explain to this decision that you are making or asking the user to make, giving that explainability, the transparency, the fairness of that decision -making, the auditability, right? And that becomes even more important because today when we are talking about urgentity, we are talking about autonomous workflows, we are talking about decision -making. Yes, the human is in the room, but part of the workflow is completely autonomous, right?

And so that’s a lot of the work that’s keeping us busy at night and mornings, I would say, and really making sure that when we say customers can run at their best, in a compliant, in a secure manner, in a responsible manner? How do we make sure that they are to go through the research?

Tim, what is the holdup and failure for customers to run in a safe manner? Whether you’re up at night or not, you’re certainly on your toes. The only person who’s been up at night for several months now, and I can personally vouch for this, Krishan, Continental is now a Romeo. It has not only changed in name, but also in terms of its core processes, some of its business sectors. So innovation is not only in the name, it’s also what you do. What is a Romeo now up to and what is happening?

First of all, thank you, Amandeep and Neera. I’m sure all the panelists agree. I think in India, we have moved from support apps to center of excellence. I think in Aumavio, we’re focusing on two things. One is certainty of allocation for our customers, for the audience, innovation for the stakeholders. And the second was customer -centric innovation. Just to let you know, one year I think we’ve been able to gain efficiency improvement in R &D in excess of 20%. How did we do this? Actually, there are cool things. I think we do with one strength and core technology, be it in the plants in terms of how do we enhance the quality using air, be it in terms of, you know, any product that’s done in products, there’s always a lot of false calls, which requires a lot of efforts for you to redo that.

So that’s where the implementation of AI in terms of enhancing the quality. And the second is certainly government development, I think using the GitHub, what I was talking about, where this work is coding and also for developing different test scenarios and a test situation. So these are the things that we are really focusing on. One, as I said, how do we really enhance the velocity in engineering and R &D? We’re using this automated technology, and also we do something called ReckNet. In automotive, the biggest challenge today with so much of complexity of technology is coming with the requirements, because always you leave one or two, which is very, very important. Like how do you really enhance this in terms of the ReckNet?

And second is the attention of the agent, which is used in the enterprise in the simple function like finance, controlling, or market analytics. So this helps us in giving a very good summary for the leadership to take decision based on the data. And third is certainly on the product innovations. And we have a place here in the Jammu and Pakistan, where we have a display, which is dollar code here in India, one of the autonomous mobility, which is called Enhanced Light Fusion. We have been able to, with the use of AI, enhance only the… the camera vision for easier detection and the second is something called e -travel companion where you seamlessly interact with the vehicle and the third is like our driver will seamlessly access with the car.

These are the three which was developed innovations which is displayed in the German stand as well. So in summary, I think we continue to drive because of what we call our increase to seamless integration into the operation.

Thank you so much Prashant. Let me go to Mercedes. Mercedes -Benz is a North Star in innovation. I mean you’ve been around several decades. It’s also been a very competitive environment in manufacturing which a lot of people say that Germany has lost its edge. But it’s an old school field. So how do you bring in AI into the second kind of operations, which is reflected in your standardized operations and very, I said, old school procedures? Is it challenging to get AI into it now?

Good morning, everybody, and thank you for having me here. Yes, Mercedes has been one of the most important companies and we plan to remain virtual. We’ve been doing this for many, many years. AI as a technology is not a challenge. We don’t see any technology as a challenge. And we have been using it. I think if I’m not wrong, Mercedes -Benz was the first automotive company to bring AI into the cars in 2019 itself. So if you’re driving cars from 2019, you must have experience AI. It’s a challenge. It’s a challenge. Today our focus is monthly forward works. For example, we want to offer technology to our customers. That means you drive the car and you experience a lot in the car, how the car behaves, whether you direct the car, etc.

And whether the parts are behaving in the seat. And the second part that we also are planning to do is tighten our operations using AI. We want to bring operational efficiency using AI. And many things have been mentioned. One such thing we are trying to implement. Now it can bring benefit to all of us. So, we have technology. It’s very exciting. Because sometimes you feel that it’s making so many things evident. I think that’s now and then has been the same thing and same impact so we are looking further to going ahead with using it.

And ,of course, NBRDI in Bangalore is playing a very big role into this process?

Yes. The 2019 application was largely developed NBRDI that was sent to by our AI experts back then.

It was so good we have another 5 minutes and I’d like to use this for a rapid round talking about India so we’ve always heard about the big combination of manufacturing excellence in Germany, engineering, scale and speed in India Let me ask Dr. Tri, is this heightened German interest in India, is it offensive or defensive?

I would say it was long overdue. I think given the capabilities of the two countries and the common interests that we share, for reasons unknown, we play it very low, while many others play it significantly high. So I think now we can collaborate on many dimensions, not just the precision engineering of Germany, which more than that. Because the pragmatic approach Germany brings in to solve problems from the first principles is what is required now. Because we are in a phase where we have to cut the norms of AI and to marry the substance of AI. So for this, I think we, I mean, we all know in this room… Thank you very much. So it might be a moment generally, you know, how we can remain together.

So it’s an opportunity that I see. Thank you.

That’s very diplomatically put. Sindhu, I come to you. You have just inaugurated a huge campus and your ambitions of taking more than 14 ,000, 15 ,000 people. The controversial question that I’d like to put to you is they say that the cost of the charge is four is to one. That is, for one German, you can get four Indians in it. Not only one. Not even one. Srinu, I will write answers. No, of course. The value of the charge is just the opposite, right? So we are looking at a demographic dividend in India, but there is a huge aspect of inclusion, productivity, skilling, reskilling. How does that play into your vision for India?

You started off by talking about the campus, right? And we were talking only about the campus. What’s the charge point of view? I don’t know. I don’t know. I don’t know. I don’t know. I don’t know. campus, right? So that, and I think we just had Chancellor Max coming to campus as well, and looking at India as a constant detachment, it’s clear of my hands. I don’t see it in any of these conversations. Let’s not be, today when we look at, and we mentioned GitHub for pilot, and if I just look at CloudCode, the latest SOPAs that we have, the speed at which you can do things is of course changing, but what it means is experts can focus on high -value SOPAs, right, and high -value domain use cases, and this is the beauty of the pace at which innovation is being, and this is also why companies like SAP or anybody else here in SOPA are invested in India, because they want to build a system of countries and research question is always the right.

So we really want to bring this and the pace at which our people here in India are able to take forward, understand the context, drive forward things, drive that leadership, creation of IC, it’s the change we’re talking about.

Thank you, Sindhu. I have actually two more provocative questions for my other two, but due to the paucity of time, we’ll have to take a break. Because we still have Morley talking about his study, but I think the fact is clear that the opportunity you have in India has been an opportunity like never before. It’s an influential point. It is an opportunity for cooperation and working together in a very, like Mr. said, with shared values, a very clear agenda. And I thank you for being here and for sharing your thoughts. And can we really quickly come and talk about your study, please? because we just have two minutes and we have to close so quickly come Thank you so much.