Detectors and firing system like fire extinguisher and sprinkler systems are also installed in the wall. In case of any emergency, don't be panicked. Follow the instruction on the public system. Our team is well trained. They will guide you during an emergency. For any medical emergency, the ambulance is on standby. First wheelchair is available at the hotel. For the restrooms, you can move out of the hall and take a right. Hotel is a designated smoking zone at the bank entrance. So today we are not conducting any plan. So on behalf of our hotel management, we wish you all a successful conference and a wonderful experience at far. Thank you.
Heat. Heat. Heat. Heat. Heat. HEAT. HEAT. HEAT.
Good morning everyone. I thought we would be slightly more charged up. We're looking at transforming everything. So let's first transfer our voices. Good morning everyone. Believe in whatever energy you throw, we will throw it back at you at this event. I'm Indu Sharma, the vice president for communications for Siemens Limited and I'll be your host for the day. I'm welcoming you to the sixth edition of Transform the Siemens Innovation Day. A lot has changed since last time. The world has become more complex, AI has become a reality. We have a full agenda starting with a keynote by our CTO Dr. Peter Koerte, joined by customers from Nvidia and other partners. We'll also have sessions on industrial AI, simulation, and factories of the future. So once again, welcome. Just stop the conversations, please. Very warm welcome to the sixth generation. We started this program about 6 years ago. We talked about manufacturing, infrastructure, mobility. Technology was critical. In the last 6 years, a lot has changed. Geopolitics, economic challenges, new partnerships. AI has become real in manufacturing and infrastructure. The world has changed at an unprecedented pace. India is now racing ahead with 7% GDP growth. India has electrified 37,000 km of electric network, gone from less than 50 GW to close to 250 GW of renewable energy. 70% of buildings yet to be built. The government aims for a $30 trillion economy by 2047. Innovation spending needs to grow from under 1% to 3%. Data centers need to grow from 1.5 GW to over 8 GW. 70 new airports in 10 years, 50 more planned. Industrial corridors to increase to 11. Manufacturing share of GDP to go from 15% to 25%. That means an additional $900 billion contribution to GDP. The government is doing this sustainably, ahead of COP26 targets. Hydrogen is another critical factor. For organizations, you need productivity, efficiency, flexibility, quality, scale, and sustainability. The only way is technology: industrial AI, digital twins, autonomous buildings, digital substations, secure platforms. You will see these in the exhibition. Let me start first with our keynote address. I'm delighted to invite our chief technology officer, chief strategy officer, member of the managing board of Siemens AG to give an overview of technology and its benefits for all companies.
Video and good morning everyone. Before I start, I want to congratulate you on yesterday's win. I was rooting for you. I asked an AI who would win the T20 and it said 50-50, then 60-40. So Sunday you'll have a good day. Now getting into my presentation. I want to talk about industrial AI and how it changes the physical world: mobility, trains, factories, life sciences, semiconductor plants, intelligent infrastructure. India is a massive growth opportunity. I oversee all Siemens investments and few places have an economy of India's size growing at 7% GDP. India is at the doorstep of technology and will gain the most from AI. I'll talk about three things: the AI revolution in industry, why India has a unique position to benefit, and the potential to improve operations. AI without data is nothing. There are 20 billion smart devices generating data, but 80% is unused. We combine the real and digital worlds. Examples: spot welding in automotive using AI to reduce testing and improve quality; water leak detection using sensors to cut losses by half; buildings using Comfort AI to cut energy costs by a third. Industrial AI must be safe, secure, reliable, and trustworthy. Hallucination is a big issue. India will be a major force in AI by applying it in industries. 80% of Indian enterprises already use AI. If India makes its new manufacturing AI-native, it will benefit greatly. Example: our team in Bangalore developed an application for an oil and gas customer in a desert. Using satellite images and weather data, they can predict sand accumulation 7 days ahead with 70% accuracy, saving 20% of costs. This can be scaled. We have the Siemens Xcelerator platform, a digital open platform like Amazon for industry, with hardware and software. It is curated by industry and use case. We have nine partners in the exhibition. So moving forward, the role of Siemens is to enable this.
Industrial AI is where we can connect the real world with the digital world. We can bring together data together with the applications and all the competencies you need. Getting data is one thing, but the key thing is getting the right data and understanding the domain you're operating in. Every third machine operated in the world is controlled by a Siemens controller, which gives us the data to infer and make models available for use cases like quality, productivity, time to market. Siemens is the number one company in industrial software, with more than 11 billion in sales in the digital business, making us the 16th largest software company in the world. You think of Siemens as the people that electrify, and you're right. That's what we've done for the last century, and we bring more digitalization and electrification. Then we move to automation and digitalization, and now with that digitalization comes industrial AI. For industrial AI, you need data. Large models today are trained on the internet, but that doesn't work in industry. You cannot download production data from the internet. The only way to build industrial AI is by doing it together. Each of you sits on your own data, but that data is never enough. We need to work in ecosystems and data alliances to bring data together to train models on specific use cases and then deploy them to all of us. We serve 30 different industries from cement to semiconductor to life sciences to data centers. Nobody can do this alone when it comes to data or technology. That's why we partner with Nvidia. At CES we spoke about how Nvidia and Siemens are bringing the latest technologies together, GPU accelerated, to make a significant difference in the industrial world. With the digital reality viewer and the digital twin composer, we help you build a digital world much faster that connects to the real world in real time for better predictions. This is a simulation where we can scale to ship ammonia-propelled ships of 7 million parts, simulate factories, build GPUs more efficiently, and change shop floors to reduce cycle times. For India, this means faster time to market. All of this can only be done together, which is why we are happy to have two of our key partners on stage: Bish, managing director of Nvidia, and Sanjit, CEO of Addverb. Please welcome them.
Welcome. Great to have you here. Thank you for joining me on stage. This is fantastic. Before we begin, I'll start with you. We are building a lot of great technologies together. What is the role for you in India? Can you share a few words from your perspective?
I think Siel set the stage. He spoke about manufacturing needing to be a significant proportion of our GDP. There is no second thinking on that. The government is clear, and everybody in this room is clear that manufacturing has to be that much more important. That's where Siemens and Nvidia come together. If we can truly help you scale in software-defined, AI-native factories, you're going to scale. There are three things happening in India simultaneously. First, greenfield projects coming up at scale. You can build a true perfect virtual copy and figure out how to lower costs. Statistics show between 10 to 20% cost reduction, output can go up by 20%, and you can capture 90% of mistakes in a virtual copy. Imagine making India world class. Second, the government's PLI momentum is over 20 billion, already generating 1.2 million jobs. Third, the AI flywheel. Through public-private partnership, they are building AI brains here. When 16 million MSMEs get that AI brain, combine these three together — industrial AI. India is now on a threshold where we can become the architects for the industrial metaverse.
Wow. So 10 to 20% faster, more productive, 90% capturing failure rates earlier in virtual times. Now, Sanjit, tell us a little about your work, what you founded, and how those numbers reflect back on you using Siemens and Nvidia technology.
Hi. Addverb is a robotics company. We automate warehouses and factories. We started 10 years back and we are India's largest robotics company today and one of the world's fastest growing robotics companies. We build all forms of robots: mobile robots, cobots, quadripeds, and a month back we launched our humanoid. We build robots mostly for industrial applications, and also defense. Leveraging Siemens and Nvidia technology: without these two partners, industrial AI is just not possible today. From 2018, everything we design — mechanical, electrical, electronics — happens on Siemens platform. We use Teamcenter for product lifecycle management and versioning. We use Tecnomatix for simulation. We don't sell products; we sell solutions, so we show how the product helps customers solve problems. We build models, do PLC coding, WCS, WMS, and enterprise-level software. With customers, we do what-if analysis in simulation so that when we go to the real world we see fewer challenges. We also use Siemens platform to support customers with AI so they can use machines in the best form and take care of them. For Nvidia, because it's robotics, the robot has to walk on different terrains and staircases. We train models on Nvidia simulation platform, then take the policies to the robot and reduce the sim-to-real gap. Without these platforms, our engineers cannot build great and reliable products for end customers.
Great. Thank you, Sanjit. Fantastic. Fastest growing robotics company. Now, Vish, you mentioned that we want to unlock that power. We want to contribute to the next generation of manufacturing. How do we unlock that here in India? What are the challenges and how can we overcome them?
One of the most important things Siemens and Nvidia are doing is building an industrial AI operating system. India can benefit from that. You can reimagine your factories, optimize, control supply chains. For example, Reliance New Energy is building a gigafactory without breaking ground — virtually building it. They are doing exactly what I spoke about earlier. My colleague looks after Hero — they are accelerating the entire design cycle on Siemens accelerator and Nvidia infrastructure, reducing time from design to completion. Now think about three other things: we are going to build 12 brand new industrial cities. How will you do it? You need an AI-native operating system. Also, renewable energy adds variable supply. How do you build real-time virtual scenarios for that? If there's a cloud cover, how do you automate the grid? Those possibilities are real. In Pune, AI has created a lab for crash analysis of EV packs, cutting time. They have spokes in Bangalore and Guwahati. This means AI is moving beyond words to the world of atoms — being grounded, connected, and scalable. That is advantage India.
Fantastic, great examples. And to conclude, Sanjit, from your perspective, we want to bring technology from India to the world. You've built quadripeds and mobile robots. Tell us where you see those industries and which markets are important as you go from India and conquer all markets.
India is very important for us. We started the company to help Indian companies become more productive so they can scale — for them, India becomes not just the market but also the whole world. Today 40% of our revenue comes from India, and it will continue to be 40-50% for the next 10 years as we scale 10 times. We export robots from India to 25 countries, with subsidiaries in the US, Europe, Australia, and Singapore. In 10 years, we want to reach 100 countries from India. We make all kinds of robots for different applications. In green energy, we are working with a 20 GW solar factory, and there are at least 11 solar customers in the 6 GW range. Electronics: 25% of Apple's mobile phones are manufactured in India, and we have customers there. All these sectors are growing rapidly. Because of geopolitics, every country wants to have these industries domestically. Our experience of automating in India at scale and competitive prices will bring value to customers worldwide.
Thank you so much, Vish. Thank you for joining us.
You can't go. We need to ask you a question too. Okay. How can it be only one way traffic? We have Peter. He gets to see everything across the globe. The mega skill India needs to play one day. Sanjit is already going through that experience. What is one or two things that we can learn from you that India should be sensitive about instead of learning on the spot? Give us one or two lessons that you've seen across the world.
What we've seen is many proof of concepts where we have shown a first pilot but then it doesn't scale. The key question is how to get to scale. You had great examples, but they are very specific. We realize you have to do this first customer backwards. Have the great idea, but then do it industry by industry. Go by electronics, by battery manufacturing, by automotive. Understand the key use cases and how they scale, then build these applications. I recommend to all of you thinking about your AI that you focus on a use case that can actually scale, otherwise it will be just another POC.
That's so good. Go beyond POCs to implementation. If our country became a shining star with less than 1% of developers from our total population, imagine each one of you now is a developer. You can speak to the computer in your respective language, mix languages, understand it, program it. Go from POC to production and make India really smart. Thank you very much. Very good. Thank you so much.
Thank you so much. I hope you're also enjoying it as much as everybody listening. I'm hoping there are a lot of questions out in the audience. I'll pass you the mic. To proceed with Q&A, I'll invite Mr. S also to join us on stage. If you have a question in the audience, please raise your hands. We heard so much, so many new technologies, so many examples, so many brilliant questions in the room. Let's hear them out. But before they say something, what excites you about India? You heard so much. Obviously we win the matches, but beyond that, what is interesting and what's in your mind for us?
